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About the Team

Our infrastructure team helps deliver OpenAI’s most capable models and products to the world by scaling infrastructure and turning demand into useful FLOPS. We collaborate across research, engineering, design, and business to turn cutting-edge AI advancements into impactful, real-world applications. Our team ensures the right compute is available—at the right time and place—to support some of the world’s most demanding workloads. We empower all of OpenAI’s products and research by scaling the infrastructure behind them. Our work makes it possible to launch new models and products reliably and at scale.

About the Role

As a Data Scientist on the Infra team, you will play a key role in shaping how we scale the infrastructure that powers OpenAI’s products and research. This is critical as we operate one of the largest and most advanced compute fleets in the world, supporting millions of users and businesses globally. We focus on aligning infrastructure measurement, planning, scaling, allocation, and efficiency to drive measurable impact across the company.

You should expect to guide the definition of foundational datasets for infrastructure resources, develop metrics that inform key decisions, build forecasting and optimization models, and establish source of truth dashboards and analyses that enable teams to understand and improve infra usage. Most importantly, you should expect to be a core partner to engineering, research, and product teams in shaping the infrastructure that powers everything OpenAI builds.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Build and maintain foundational datasets and metrics that reflect infrastructure usage, efficiency, and scaling.
Develop forecasting and optimization models to support infra planning and resource allocation.
Partner with engineering, research, and product teams to shape infrastructure strategy through data.
Drive clarity with source-of-truth dashboards and analyses that guide infra decisions across OpenAI.

You might thrive in this role if you have:

5+ years of experience in a quantitative role navigating ambiguous environments, ideally in infrastructure, systems, or platform domains at a high-growth company or research org
Experience defining and operationalizing metrics that reflect system performance, resource usage, or efficiency from the ground up
A strong foundation in SQL and Python, and a track record of building models and analyses that drive technical and strategic decisions
Excellent communication skills and the ability to partner effectively with engineers, researchers, and product stakeholders
A strategic mindset that goes beyond statistical testing to surface actionable insights and long-term tradeoffs

You could be an especially great fit if you have:

Proven track record of operating as a data partner in large scale backend systems
Comfortable navigating fast-paced execution while also anchoring decisions in long-term impact
Strong programming background, with ability to run simulations and prototype variants
Experience in NLP, large language models, or generative AI

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

","hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://openai.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":2,"item":{"@type":"JobPosting","title":"Product Data Scientist","datePosted":"2025-06-30","description":"

Description

We are looking for a skilled Product Data Scientist to join the data group at AI21 Labs. In this role, you will be at the intersection of state of the art AI Products and Data Science.

You will be accountable for all data aspects of our products and come up with valuable insights that will shape them, in order to better understand our AI systems and B2B clients' use-cases. You will be working in a cross-functional team and be involved in the conceptualization, development, and analysis to bring insights to product, engineering and algorithm-developers stakeholders.

Role and Responsibilities

Measure and evaluate the performance of AI systems and large language models
Leverage data analysis toolbox and methods of statistical analysis to provide actionable insights and a deeper understanding of how our models and systems perform for our B2B clients
Define and build data models, processes, and dashboards to allow stakeholders to consume relevant data
Design, develop and automate data products to measure key performance metrics
Influence and help shape the company’s analytics infrastructure and advocate for standardized work processes

Requirements

BSc in CS / Engineering / Statistics or equivalent (MSc an advantage)
4+ years of experience as a Research Analyst / Product Data Analyst / Data Science working with technical B2B products
Experience with AI systems, using and evaluating language models - strong advantage
At least 4 years of experience working with SQL, Python, and visualization tools like Looker
Experience in data modeling, ETLs, and data handling best practices
Exceptional analytical skills, accompanied by a strong belief that data is essential to drive decisions and outcomes
Excellent presentation and communication capabilities.

About Us

AI21 Labs is pioneering the development of Foundation Models and AI Systems for enterprises, accelerating the adoption of Generative AI in production.

Established in 2017 by AI visionaries Prof. Amnon Shashua, Prof. Yoav Shoham, and Ori Goshen, our mission is to equip businesses with cutting-edge LLMs and AI capabilities. Backed by leading investors like Pitango, Google, Nvidia, Intel Capital, and Comcast Ventures.

Join us on this exciting journey and advance your career with AI21 Labs!

","hiringOrganization":{"@type":"Organization","name":"AI21","sameAs":"https://www.ai21.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tel Aviv-Yafo, Tel Aviv District, IL","addressCountry":"Israel","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":3,"item":{"@type":"JobPosting","title":"Data Scientist (Product)","datePosted":"2025-07-18","description":"

Kalshi is defining a new category

Kalshi has defined a new category: prediction markets. Kalshi allows people to trade on the outcome of any events and turn any question about the future into a financial asset. Kalshi fought for years and legalized prediction markets in the US for the first time in history. Kalshi is currently the fastest financial market in America, and has 1000 markets across politics, economics, financials, weather, tech, AI, culture and more.

We believe prediction markets have the potential to be the largest financial market because they turn anything into a financial position.

Our vision: well… build the largest financial market on the planet.
Our mission: bring more truth to the world through the power of markets.

Building a new category is hard… like really hard. But it’s beautiful and deeply fulfilling. Our culture is simple: we hire really talented, work really hard, and enjoy the climb. We are looking for ambitious and exceptional people to join our (relatively small) team to help us built the next generation of financial markets.

Role Roadmap

We are looking for an experienced Data Scientist to join our growing data team. At Figma, Data Scientists are deeply embedded within cross-functional teams across the company—from Product to Finance, Marketing, and Platform.

The ideal candidate will bring strong analytical and technical skills, business intuition, and a collaborative mindset to guide decision-making and unlock growth opportunities. You’ll work on problems ranging from understanding user behavior to optimizing revenue strategies, improving internal tooling, and influencing product direction through experimentation and data modeling.

This is a full-time role that can be held from our NYC office.

Technology:

Our tech stack includes Python, SQL, DBT for data analytics and pipelining, pipelining and machine learning and visualization through Superset, Dagster, Hex. We leverage cloud platforms such as AWS for scalable data storage and computational needs.

What you’ll do:

Collaborate across teams to define and measure key metrics, design experiments, and uncover insights that inform strategic decisions.
Build models and analytical frameworks to support product, marketing, platform, or finance initiatives.
Develop tools, datasets, and systems that enable others to work with data more efficiently and rigorously.
Own complex data projects end-to-end—from problem scoping to solution delivery.
Champion data quality, accessibility, and the democratization of data across the organization.
Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact.

What we’re looking for:

4+ years of experience in Analytics, Data Science, or a related field.
Fluency in SQL and proficiency in a scripting language like Python or R.
Experience with distributed data systems (e.g., Redshift, Snowflake, Presto, Hive, Spark).
Strong foundation in statistical methods, experimentation, and/or forecasting.
A track record of working cross-functionally and communicating effectively with both technical and non-technical partners.
Experience supporting one or more of the following: Product, Marketing, Finance, or internal Platform/Tooling teams.

Bonus points

\n
A self-starter attitude and the ability to thrive in ambiguous and fast-paced environments.
\n

Our Culture

Meritocracy is at our core, and we value people who take ownership and figure (usually hard) things out. We dream big. We love our craft deeply and are proud of what we put out in the world. We are committed to our vision of building something big… but also useful: a product that brings more truth through the power of markets.

Kalshians are Kalshi’s most important asset: we pick Kalshians carefully, so we trust them fully on day 1.

NYC Pay Transparency Disclosure:

Salary Range: $100,000 to $250,000 annually plus equity and benefits.

This salary range is based on the current available market data and represents the expected salary range for this role. Kalshi has minimal hierarchy and few titles, but a broad range of experience is represented within roles. Should you have compensation expectations that exceed these bands, we'd love to hear from you and would welcome you to reach out to discuss further.

Commitment to Equal Opportunity

Kalshi is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our mission and values, we’d love to hear from you.

","hiringOrganization":{"@type":"Organization","name":"Kalshi","sameAs":"https://kalshi.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York or Remote","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":4,"item":{"@type":"JobPosting","title":"Data Scientist, Product","datePosted":"2025-07-22","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Data Scientist, Product Responsibilities

Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products.
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.
Partner with Product and Engineering teams to solve problems and identify Fb/c: Minimum Job Requirements and/or Alternative Job Requirements trends and opportunities.
Inform, influence, support, and execute our product decisions and product launches.
May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure.
Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
Demonstrate good judgment in selecting methods and techniques for obtaining solutions.

Minimum Qualifications

Requires a Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and one year of work experience in the job offered or in a computer-related occupation
Requires one year of experience in the following:
1. Performing quantitative analysis including data mining on highly complex data sets
2. Data querying language: SQL
3. Scripting language: Python
4. Statistical or mathematical software including one of the following: R, SAS, or Matlab
5. Applied statistics or experimentation, such as A/B testing, in an industry setting
6. Machine learning techniques
7. ETL (Extract, Transform, Load) processes
8. Relational databases
9. Large-scale data processing infrastructures using distributed systems
10. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$216,571/year to $235,400/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":5,"item":{"@type":"JobPosting","title":"Data Scientist, Product","datePosted":"2025-08-07","description":"Hi, we’re MoonPay. We’re here to onboard the world to the decentralized economy.
Why?Because crypto and blockchain aren’t just technologies—they’re tools for global financial empowerment. They give people control over their money, their digital assets, and their future, unlocking opportunities that traditional systems have kept out of reach.
What we doAt MoonPay, we’re building the infrastructure that powers this new financial system. We make it easy for anyone, anywhere, to buy, sell, and trade crypto using everyday payment methods like cards, Apple Pay, PayPal, Revolut and Venmo. We provide simple tools to send, receive, and manage stablecoins, so anyone can participate in the crypto economy confidently.
Trusted by nearly 30 million customers and over 500 companies, our secure, enterprise-grade platform is driving mainstream crypto adoption worldwide.
We collaborate with innovative brands and projects to build secure, scalable solutions for a blockchain-powered future. And we’re committed to doing it right—fully licensed in the U.S. and regulated across the UK, EU, Canada, and Australia—because trust and compliance are non-negotiable.
But we’re just getting started. We’ve launched a consumer app that makes crypto accessible, intuitive, and usable for everyone, and it’s growing fast. We’re iterating every day to make it the best it can be.
If you believe financial freedom should be for everyone—if you believe in building a fairer, more open financial system—we want you with us. To build systems that benefit all, we need contributions from all, regardless of background.
Come build the future of payments and the decentralized economy with MoonPay. Let’s make financial freedom and autonomy the new normal.
🌔 About the Opportunity We’re on the lookout for skilled Product Data Scientists to join our team at MoonPay. You’ll be pivotal in driving business growth and maximizing our product performance. This is your chance to have a significant impact on our market-leading products, optimizing them and delivering actionable insights across the wider product organization. Join us and be part of an exciting journey to reshape the fintech and crypto industries!
🚀 What you will do · Provide insights and recommendations to stakeholders based on a deep understanding of MoonPay products, and be able to identify and drive new opportunities for product improvements & enhanced customer experiences· Work closely with the product teams and business stakeholders to review product performance, look for opportunities to optimize our products, and deliver data driven strategies for increased product performance.· Define KPIs, design tracking and set up monitoring for new product launches & changes.· Oversee and implement A/B tests and other experiments to drive forward optimization efforts· Design, build and scale both internal and external data products, which drive informed decision making, examples include: dashboards, reports, data models, algorithms, integrations into other product lines.· Communicate complex concepts and findings to technical and non-technical audiences across different teams, while ensuring clarity and understanding to drive critical business decisions.
As a Product Data Scientist you will be expected to:· Independently lead projects from end-to-end.· Prioritise and manage competing tasks and deadlines effectively, aligning with goals and adapting to changing priorities.· Contribute to our overall approach and standards within the data discipline.· Be proactive in spearheading initiatives to support stakeholders and business partners around the organisation.

🧑‍🚀 About You · 2-5+ years of hands-on experience as a data scientist or data analyst, preferably in a product-focused role.· Advanced SQL, data modelling, and data visualisation tools are second nature to you.· You have an understanding of the fundamentals of statistics and probability, including experience in conducting large-scale A/B tests.· You have experience working with product teams in an analytics role.· An active interest in cryptocurrency, and have interacted with crypto/blockchains in the past· Experience working within the fintech and/or crypto space is preferred· You have the versatility and willingness to learn new technologies on the job and adapt quickly to changing priorities within a very dynamic environment.· You are experienced in communicating with cross-functional stakeholders including product managers, engineers, and C-level executives.
Bonus points if you have:· Worked with DBT, Google BigQuery, Looker and Python· Experience working in start-ups or scale-ups· Worked with blockchain data (e.g. explored on-chain activity through Dune, Flipside, or other tools)We’re looking for people who live our core values, those who strive for excellence and want to leave a lasting legacy on the global financial system. Our values:
B - Be HungryL - Level UpO - Own ItC - Crypto CuriousK - Kaizen
What’s in it for you💰Competitive salary package
🤝 Equity package: We believe financial freedom starts with our employees, so all employees have ownership at MoonPay
📈 Pay for performance equity bonus: Those who drive outsized outcomes receive outsized rewards
🏝 Unlimited holidays: We give you the autonomy to choose when to work (and when to switch off)
🌍 Hybrid working schedule: Work fully remotely or your nearest Moonbase, the choice is yours
🩺 Private Healthcare benefits: To protect you and your loved ones
🍼 Enhanced parental leave: So you can spend more time with your loved ones without a second thought
📚 Annual training budget: We support your training journey every step of the way
🪑 Home office setup allowance: Create the home office of your dreams
👛 Remote working allowance: Those working fully remotely get a little extra for utilities
💰 Monthly budget to spend on our products and zero fee crypto transactions: Cultivate your inner DEGEN
💰 Employee referral programme: Great people know great people, refer them to receive 10K in USDC
✈️ Regular remote company offsites: Meet your colleagues regularly for high impact in person sessions and hackathons
🚀 Working in a disruptive and fast-growing company where excellence is rewarded
What’s it like to work at MoonPay? At MoonPay, you’ll work alongside driven, resourceful people who are passionate about excellence in everything they do. Kaizen is more than just a saying here, it’s a mindset. We encourage you to think big, take risks, and push the boundaries of what’s possible, knowing you have the support of a team that wants to see you grow. We’re listed in the Sunday Times best places to work guide and consistently strive to provide an environment where everyone feels they can their best work.
Whether you’re remote or collaborating with teammates around the world, you’ll find opportunities here to do the best work of your career while shaping the future of the decentralized economy.
Commitment To DiversityResearch has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learnt, diversity cannot.
Please let us know if you require any accommodations for the interview process, and we’ll do our best to provide assistance.
At MoonPay we believe that every voice matters. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination. That’s why we are committed to diversity and inclusion in the workplace and are a proud equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. This policy applies to all employment practices within our organization, including, but not limited to, hiring, recruiting, promotion, termination, layoff, and leave of absence.MoonPay is also committed to providing reasonable accommodations in our job application procedures for qualified individuals with disabilities. Please inform our Talent Team if you need any assistance completing any forms or to otherwise participate in the application process.
Please be aware that MoonPay does not request an AI-led interview without seeing a recruiter or team member from MoonPay on video call. We won't ask for your personal identification documents or any money from you during your interview process with us. Be fraud smart! If you receive an email - claiming to be from MoonPay - but from an email address ending in anything other than @moonpay.com, please be aware that this is not us.","hiringOrganization":{"@type":"Organization","name":"MoonPay","sameAs":"https://www.moonpay.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lisbon","addressCountry":"Portugal","addressRegion":"Europe"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"Data Scientist, Product","datePosted":"2025-08-12","description":"

Captions is the leading AI video company—our mission is to empower anyone, anywhere to tell their stories through video. Over 10 million creators and businesses have used Captions to simplify video creation with truly novel and groundbreaking AI capabilities.

We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.

Our Technology

Mirage Announcement our proprietary omni-modal foundation model

Seeing Voices (technical paper) generating A-roll video from audio with Mirage

Mirage Studio for generating expressive videos at scale

\"Captions: For Talking Videos” available in the iOS app store

Press Coverage

Lenny’s Podcast: Interview with Gaurav Misra (CEO)

Latest Fundraise: Series C Announcement

The Information: 50 Most Promising Startups

Fast Company: Next Big Things in Tech

Business Insider: 34 most promising AI startups

TIME: The Best Inventions of 2024

Our Investors

We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.

** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square)

We do not work with third-party recruiting agencies, please do not contact us**

Key Responsibilities:

Perform data analysis and exploration to uncover insights and trends related to product and user behavior.
Design rigorous AB tests and evaluate the impact of product changes.
Collaborate with cross-functional teams to define key metrics and establish data-driven goals for product experimentation.
Develop and maintain analytical models to support full funnel analytics.
Use statistical techniques to identify patterns and opportunities in large datasets.
Create data visualizations and dashboards to effectively communicate findings and insights to stakeholders.
Work closely with designers and engineers to drive data-informed decision-making throughout the product development process.
Provide recommendations for improving user experience, conversion rates, and overall product performance based on data analysis.
Stay up-to-date with industry trends and emerging technologies in data analytics and apply them to enhance analytical capabilities.
Be a mentor to other team members and a data-driven thought leader to cross functional colleagues.

Requirements:

5+ years of proven experience as a data scientist or similar role, with a focus on analytics, AB testing, and product experimentation.
Strong proficiency in programming languages such as Python, R, or SQL for data manipulation, analysis, and modeling.
Expertise in statistical analysis, hypothesis testing, and experimental design for AB testing and product experimentation.
In-depth knowledge of data visualization tools and techniques to effectively communicate insights and storytelling.
Strong analytical thinking and problem-solving skills, with the ability to translate complex data into actionable recommendations.
Strong written and verbal communication skills and the ability to partner with cross-functional teams to build a great business.

Bonus Points:

Bachelor’s or Master’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline.
Experience with full funnel analytics, including data collection, cleansing, transformation, and analysis.
Familiarity with data warehousing concepts and experience working with large datasets and distributed computing frameworks.

Benefits:

Comprehensive medical, dental, and vision plans
401K with employer match
Commuter Benefits
Catered lunch multiple days per week
Dinner stipend every night if you're working late and want a bite!
Doordash DashPass subscription
Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)
Multiple team offsites per year with team events every month
Generous PTO policy

Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Please note benefits apply to full time employees only.

","hiringOrganization":{"@type":"Organization","name":"Captions","sameAs":"https://www.captions.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Union Square, New York City","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Senior Data Scientist - Product","datePosted":"2025-07-18","description":"

Where Data Does More. Join the Snowflake team.

The Product Data Science team is looking for a Full-stack Senior Data Scientist to come aboard and be part of Snowflake’s most critical initiatives. In this role, you will work closely with our Product and Engineering teams on everything from core operations, to innovative AI/ML tools, to our fastest-growing new and experimental features. You will work on long-running analytical initiatives yielding substantial product enhancements. This is a strategic, high-impact role that will help shape the future of Snowflake products and services.

PLEASE NOTE: The position level is determined during the interview process and is influenced by various factors, including experience, educational attainment, skill level requirements, and overall interview performance.

AS A SENIOR FULL STACK DATA SCIENTIST AT SNOWFLAKE YOU WILL:

Be a proactive partner to Product Management and Engineering to shape feature roadmaps and help design metrics and analytical workflows to evaluate their success and effectiveness.
Build efficient data models and high quality production pipelines and partner with Engineering for all necessary telemetry.
Build scalable and extensible analytics/ML/causal inference frameworks to uncover feature usage patterns, subtle issues with the system, potential performance enhancements, and areas to improve customer experience.
Be an early adopter/pro user of Snowflake features and provide feedback on design parameters.
Evaluate the right surface (Snowflake Notebook/Worksheet/Snowsight Dashboards/Streamlit Apps) to disseminate your insights for maximal impact.
Influence decisions and drive initiatives with the Product Management and Engineering teams to drive better outcomes for our customers.
Answer questions from the executive team for reporting to the board and contribute to industry reports and similar publications.
Think creatively and be scrappy to find optimal solutions to our complex, often unstructured problems.

OUR IDEAL CANDIDATE WILL HAVE:

MS/Ph.D. in quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS).
8+ years of relevant data science or related experience.
Expert-level experience working with SQL & Python including scikit-learn, numpy, and pandas.
Expert in working with large-scale machine generated data (e.g., logs, application telemetry, or customer usage data).
High fluency with MPP databases, such as Snowflake, Redshift, BigQuery, Vertica, etc.
Expert data-driven storytelling skills to convey insights to business leaders and technical stakeholders and influence decisions.
The ability to thrive in a dynamic environment, being flexible and willing to jump in and do whatever it takes to contribute to the success of your area.

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

","hiringOrganization":{"@type":"Organization","name":"Snowflake","sameAs":"https://www.snowflake.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"US-CA-Menlo Park","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":8,"item":{"@type":"JobPosting","title":"Senior Product Data Scientist","datePosted":"2025-08-03","description":"About Us:\nLive experiences help people cross today’s digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that’s bringing us together. To fulfill Gametime’s mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.\n \nWith platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.

The Role:

We are seeking a Senior Product Data Scientist to take a leadership role in shaping product strategy through data-driven insights. As a key partner to product managers, engineers, and business stakeholders, you will own experimentation frameworks, influence key product decisions, and drive the development of actionable metrics that guide long-term success.

This role requires a mix of product thinking, statistical expertise, and leadership to ensure our product decisions are based on sound data principles. As a senior team member, you will also mentor junior data scientists and contribute to best practices in experimentation, KPI development, and data storytelling.

The ideal candidate has hands-on experience in a mobile-first marketplace setting, and can thrive in a fast-paced, proactive, and dynamic environment.

Above & Beyond: The Impact You'll Make:

Product Leadership: Partner with product and business teams to shape roadmaps, define success metrics, and ensure a data-driven approach to decision-making.
Experimentation & Statistical Testing: Lead the design, execution, and analysis of A/B tests and other causal inference methods to measure the impact of product changes.
KPI Development & Product Analytics: Define, monitor, and iterate on product success metrics to track growth, engagement, and retention.
Data-Driven Storytelling: Translate complex statistical analyses into clear narratives that influence product strategy and executive decision-making.
Cross-Functional Influence: Act as a thought leader in product analytics, helping to prioritize features and experiments based on rigorous data insights.
Data Infrastructure & Enablement: Work with data engineers to build scalable analytics solutions and empower product teams with self-serve tools.
Mentorship & Best Practices: Guide junior data scientists and analysts, fostering a strong culture of data literacy and experimentation within the organization.

One Team One Dream: What We Need to Work Together:

Education: Bachelor's, Master’s, or PhD in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Engineering).
Experience: 5+ years in data science, product analytics, or a related field, with a strong track record of influencing product decisions through data.

Technical Skills:

Experimentation: Expertise in A/B testing, causal inference, and experimental design (e.g., power analysis, sample size estimation, multivariate testing). Switchback testing is a plus.
Measurement and Tracking: Experience with third-party tracking tools, such as Adobe Analytics, Segment, or mParticle and experience with supporting tagging and tracking for Analytics purposes.
Conversion Funnels: Deep understanding of marketplace user conversion funnels and experience in diagnosing growth opportunities within them.
Programming and Tooling: Proficient in Python/R and SQL for data analysis, model building, and reporting.
Business Intelligence: Experience working with business intelligence data visualization software, such as Tableau or Sigma.

Leadership & Communication Skills:

Strategy: Ability to own and drive product analytics strategy, proactively identifying opportunities for impact.
Collaboration: Ability to work cross-functionally with teams in marketing, supply, finance, and fan happiness to achieve broader business and marketing goals.
Communication: Clear communicator capable of presenting technical findings and strategic recommendations to stakeholders across different teams.

Problem-Solving and Decision-Making:

Critical Thinking: Demonstrates strong critical thinking and decision-making abilities, especially under pressure.
Proactive: Proactive in identifying challenges and implementing solutions and embodies a proactive and “Always be Curious” mindset.

What We can Offer:

Flexible PTO
Competitive salary & equity package
Monthly Gametime credits for any event ($1,200/yr)
Medical, dental, & vision insurance
Life insurance and disability benefits
Diverse Family-forming benefits through Carrot Fertility
401k, HSA, pre-tax savings programs
Company offsites and meet-ups
Wellness programs
Tenure recognition

At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget.

United States - Pay Range$169,272—$199,143 USD

Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.

","hiringOrganization":{"@type":"Organization","name":"Gametime","sameAs":"https://gametime.co/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"Data Scientist - Product Insights","datePosted":"2025-07-21","description":"

At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car, a Woolly Mammoth’s Skeleton, Lady Gaga's Jumpsuit or Usain Bolt’s running shoe, we encounter exceptional objects every day.

We're a one-of-a-kind marketplace for buying and selling special objects! Each week we offer over 75,000 unique items in auction, carefully curated by our passionate in-house experts.

Having sold over 20 million unique objects to date, we’re on a mission to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by our core values:

Taking ownership and driving impact
Being open to change and feedback
Being passionate about our mission and our customers.

If these values resonate with you, we’d love to explore how you can join us on this exciting journey!

About the role and team

With thousands of active lots every day, hundreds of thousands of daily bids, millions of users, and billions of events, the Catawiki platform generates vast amounts of data every day. All this data is being collected and stored, and used extensively by our team of 19 data scientists and engineers that want to build a better company by using data in a smart way. At Catawiki, we believe in using data for making decisions, and the Data Science & Analytics team plays a central role in that.

We are looking for a Data Scientist - Product Insights to work with our Product teams and leverage data to identify user journey opportunities and measure success of our product features and teams.

You will be part of the Data Science Product Insights Team helping us make sense of our data, finding actionable insights and creating self-service opportunities by combining data from multiple sources and working closely together with your colleagues in other departments.

In this role no two days will be the same: you will build dashboards, design robust A/B tests, uncover trends in user behaviour, collaborate with your Data colleagues on discovery for a new ML model, or enhance the reliability of our data pipelines. Whatever the task, you’ll play a pivotal role in shaping Catawiki’s product solutions and deliver real impact.

What You'll Do

Own analytics for a broad product area – Unlike at larger companies where analytics roles are more specialized, at Catawiki, you’ll take full ownership of a major part of the platform. This could mean leading analytics for all buyer-facing features, all seller-facing experiences, or everything related to fulfillment. You’ll build strong relationships with stakeholders and proactively identify opportunities by deeply understanding Catawiki’s user behavior.
Turn data into insights and recommendations – You’ll go beyond tracking metrics—you’ll define and refine key success measures, uncover trends, and translate data into clear recommendations. Your insights will help shape Product decisions, flag opportunities, and drive the strategy forward. Through dashboards and reports, you’ll make sure the right information is always at hand to guide the business.
Leverage advanced analytics – Using techniques like regression analysis, causal inference, and A/B testing, you’ll analyze user behavior, identify actionable insights, and evaluate the effectiveness of new features to ensure continuous improvement.
Enable data-driven decision-making at scale – You’ll identify and implement self-service data solutions that empower Product teams to make informed decisions faster. Beyond Product analytics, you’ll contribute to foundational data projects like building scalable data pipelines, improving data accessibility, and expanding our A/B Experimentation program.

Who You Are

Experienced data professional – You have a strong quantitative background and 3+ years of experience in data science or analytics, ideally in an online company.
Technical skills – You're proficient in SQL and comfortable writing code to transform data into insights, whether in Python, R, or another language. You can handle large datasets, manage complex data pipelines, and work with tools like Looker Studio, Tableau, Power BI, and data transformation tools like dbt or Dataform.
Statistical expertise – You have a solid understanding of statistics and can apply techniques like regression analysis, causal inference, and hypothesis testing to extract meaningful insights from data.
Web and app analytics – You have experience with tracking tools like Google Analytics (GA) and Google Tag Manager (GTM), helping to measure and optimize user behavior.
Data-driven experimentation – You understand A/B testing principles and how to apply them to drive meaningful insights.
Turning data into action – You don’t just analyze data—you extract insights that drive business decisions, even with minimal engineering support.
Strong communicator – You work effectively with business owners, engineers, and leadership, translating data insights into clear recommendations.

Where You’ll Be

This role is based in our Amsterdam office, in the Netherlands.

Why You'll Love Working with Us

Create a Visible Impact by working at scale in a global organisation that serves millions of customers across 80+ categories. In our flat structure, every role has a broad scope that directly impacts both our customers and the business.
Learn and Grow with Us through our Learning & Development initiatives, which include clear development plans and mentorship programmes designed to support your career progression.
A Culture of Connection defines us. We’re a passionate, diverse and collaborative team of 800+ Catawikains and 60+ nationalities, all coming together to build a one-of-a-kind marketplace. We foster an inclusive and queer-friendly work environment, committed to making every Catawikian feel welcomed and empowered. Whatever your story, we encourage you to bring your unique perspective to our team.
Celebrate Life’s Moments with us at Catawiki. When you join us, you’ll receive a €100 Catavoucher, and on each birthday, you'll get a €50 Catavoucher to celebrate. Enjoy an extra day off each year to \"Pursue Your Passion\". We also recognise significant work anniversaries (3, 5, 8, 10 years) with additional time off, plus extra leave for life’s big moments like marriage, engagements, or moving house.

Please note that benefits can vary by location. For specific information regarding what’s available in your country, please consult your recruiter.

Our Offices and Way of Working

Our vibrant offices in Amsterdam, Paris and Lisbon are designed to inspire and connect. Most Catawikians are within commuting distance of one of our offices and enjoy the flexibility of a hybrid work model. This means that you will be in the office 2 out of 5 days (40% of your working time) to collaborate and connect with your colleagues. That said, some roles may be an exception: if the job description states that the position is fully remote or 100% office-based, that arrangement will apply instead.

\n\n

Interested?

Apply directly with an English CV and cover letter by submitting your information at the bottom of this page. By submitting your application you agree to Catawiki’s Applicant Privacy Policy.

If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

","hiringOrganization":{"@type":"Organization","name":"Catawiki","sameAs":"https://www.catawiki.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Netherlands","addressCountry":"The Netherlands","addressRegion":"Europe"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"Data Scientist, Product (SEADS3)","datePosted":"2025-08-08","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Data Scientist, Product (SEADS3) Responsibilities

Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products.
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.
Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
Inform, influence, support, and execute our product decisions and product launches.
May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure.
Work on problems of
diverse scope where analysis of data requires evaluation of identifiable factors.
Demonstrate good judgment in selecting methods and techniques for obtaining solutions.

Minimum Qualifications

Requires a Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and two years of work experience in the job offered or in a computer-related occupation
Requires two years of experience in the following:
1. Performing quantitative analysis including data mining on highly complex data sets
2. Data querying language: SQL
3. Scripting language: Python
4. Statistical or mathematical software including one of the following: R, SAS, or Matlab
5. Applied statistics or experimentation, such as A/B testing, in an industry setting
6. Machine learning techniques
7. ETL (Extract, Transform, Load) processes
8. Relational databases
9. Large-scale data processing infrastructures using distributed systems
10. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics

Minimum qualifications:

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience plus a Master's degree).

Preferred qualifications:

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

About the job

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.\n\nPlease note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Help solve problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems to reach an optimal solution.
Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues.
Report on Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.
Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed for product development.
Influence across teams to align resources and direction.

Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Help solve problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems to reach an optimal solution.Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Help solve problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems to reach an optimal solution.Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Help solve problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems to reach an optimal solution.","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Kirkland, WA, USA; New York, NY, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"Data Scientist III, Product","datePosted":"2025-08-06","description":"

Minimum qualifications:

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
5 years of experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) or 2 years of experience with a Master's degre.
Experience working with multiple datasets/data warehouses and ability to pull from such data sets using relevant programs and coding.
Experience working with data visualization tools, Android and Play Ecosystem.

Preferred qualifications:

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
Experience in identifying opportunities for business improvement and defining/measuring the success of those initiatives.
Knowledge and understanding of the mobile ecosystem.
Excellent business acumen and experience with data set to construct data analysis in order to answer business questions.
Excellent communication and presentation skills to deliver findings of analysis.

About the job

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices and Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices and Services team is making people's lives better through technology.

Responsibilities

Drive analysis for the Android Wear OS device ecosystem.
Partner with Product managers, Engineering, UX and other Android teams to provide product and strategy insights that will improve performance and help scale the product/features.
Work with Engineering teams who create data pipelines to ensure proper dimensions and metrics are incorporated.
Act as a thought partner to produce insights and metrics for various technical and business stakeholders across the organisation.
Comply with all company health and safety policies, procedures, and legal requirements.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bucharest, Romania","addressCountry":"Romania","addressRegion":"Europe"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"Senior Data Scientist, Product","datePosted":"2025-08-11","description":"

Thumbtack helps millions of people confidently care for their homes.

Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together.

About the Data Science Team

The Data Science team empowers Thumbtack to use data to guide business decisions. We collaborate with partners across the company to solve the most analytically challenging problems -- everything from informing how we set prices across almost a thousand local services categories, to evaluating the impact of a new business model on company performance, to identifying early predictors of high-quality customers. We are a tight-knit, intellectually curious team that is committed to improving Thumbtack and improving each other.

About the Role

Data Scientists at Thumbtack are empowered early on to leverage their critical thinking, interpersonal, and technical skills to make a positive impact on the company. Data Scientist embed with product teams to support new product feature launches, study the economics of our massive and dynamic marketplace, and help inform strategy. As a Data Scientist, you’ll be the person responsible for all the analytical needs of an entire team of engineers, designers, and product/marketing managers -- helping empower the team and Thumbtack more broadly to build the best product, as quickly as possible.

What you'll do

Propose and conduct quantitative research into key user behaviors, product flows, and business trends; based on analysis and in collaboration with cross-functional partners, identify potential new opportunities and next steps for the product team
Design and analyze experiments and other tests for causal inference, in collaboration with engineers, applied scientist, and economists
Partner with product managers, engineers, etc. to help scope new features, e.g., scenario modeling for possible impact on key metrics, make recommendations on business logic of new features, etc.
Define and monitor key metrics; investigate changes in metrics and propose next steps
Develop topic area expertise, e.g., develop a deep understanding of how Thumbtack search works and interacts with other systems
Contribute to our team and company data culture through accessible data table design and maintenance
Collaborate with, mentor, and help recruit team members

In order to be successful, you must bring

4+ years of experience in data science, analytics or economics
Experience managing stakeholders with competing priorities in areas such as Product Management, Design, Engineering and Marketing
Experience scoping, analyzing, and communicating results of experiments
Expert in SQL
Strong communication skills and ability to build strong relationships cross-functionally and with leadership
Bachelor’s, Master’s, or Doctoral degree in a technical area such as: Statistics, Engineering, Analytics, Math, Computer Science, Operations Research, Economics

#LI-Remote

Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law.

Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: recruitingops@thumbtack.com.

If you are a California resident, please review information regarding your rights under California privacy laws contained in Thumbtack’s Privacy policy available at https://www.thumbtack.com/privacy/ .

","hiringOrganization":{"@type":"Organization","name":"Thumbtack","sameAs":"https://www.thumbtack.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, Ontario","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"Senior Data Scientist, Product","datePosted":"2025-08-11","description":"

Thumbtack helps millions of people confidently care for their homes.

About the Data Science Team

About the Role

What you'll do

Propose and conduct quantitative research into key user behaviors, product flows, and business trends; based on analysis and in collaboration with cross-functional partners, identify potential new opportunities and next steps for the product team
Design and analyze experiments and other tests for causal inference, in collaboration with engineers, applied scientist, and economists
Partner with product managers, engineers, etc. to help scope new features, e.g., scenario modeling for possible impact on key metrics, make recommendations on business logic of new features, etc.
Define and monitor key metrics; investigate changes in metrics and propose next steps
Develop topic area expertise, e.g., develop a deep understanding of how Thumbtack search works and interacts with other systems
Contribute to our team and company data culture through accessible data table design and maintenance
Collaborate with, mentor, and help recruit team members

In order to be successful, you must bring

4+ years of experience in data science, analytics or economics
Experience managing stakeholders with competing priorities in areas such as Product Management, Design, Engineering and Marketing
Experience scoping, analyzing, and communicating results of experiments
Expert in SQL
Strong communication skills and ability to build strong relationships cross-functionally and with leadership
Bachelor’s, Master’s, or Doctoral degree in a technical area such as: Statistics, Engineering, Analytics, Math, Computer Science, Operations Research, Economics

Expected salary ranges

For candidates living in San Francisco / Bay Area, San Jose, New York City, or Seattle metros, the expected salary range for the role is currently $147,300 - $190,600.
For candidates living in Austin, TX or Washington DC metros or in California, Massachusetts, New Jersey, or Washington states, the expected salary range for the role is currently $132,600 - $171,600.
For candidates living in all other US locations, the expected salary range for this role is currently $125,200 - $162,000.

Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role.

#LI-Remote

","hiringOrganization":{"@type":"Organization","name":"Thumbtack","sameAs":"https://www.thumbtack.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":15,"item":{"@type":"JobPosting","title":"Data Scientist III, Product","datePosted":"2025-08-19","description":"

Minimum qualifications:

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience with a Master's degree).
Experience working with multiple datasets/data warehouses and ability to pull from such data sets using relevant programs and coding.
Experience working with data visualization tools, Android and Play Ecosystem.

Preferred qualifications:

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
Experience in identifying opportunities for business improvement and defining/measuring the success of those initiatives.
Knowledge and understanding of the mobile ecosystem.
Excellent business acumen and experience with data set to construct data analysis in order to answer business questions.
Excellent communication and presentation skills to deliver findings of analysis.

About the job

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

Responsibilities

Drive analysis for the Android Wear OS device ecosystem.
Partner with Product managers, Engineering, UX and other Android teams to provide product and strategy insights that will improve performance and help scale the product/features.
Work with Engineering teams who create data pipelines to ensure proper dimensions and metrics are incorporated.
Act as a thought partner to produce insights and metrics for various technical and business stakeholders across the organisation.
Comply with all company health and safety policies, procedures, and legal requirements.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bucharest, Romania","addressCountry":"Romania","addressRegion":"Europe"}}}},{"@type":"ListItem","position":16,"item":{"@type":"JobPosting","title":"Data Scientist III, Product","datePosted":"2025-08-19","description":"

Minimum qualifications:

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or 2 years work experience and Master's degree.
Experience with AI/ML.

Preferred qualifications:

Master's degree of PhD in Statistics, Mathematics, Data Science, Physics, Economics, Operations Research, Industrial Engineering, Statistics, or a related quantitative field.
Experience in energy and climate domain or greenhouse gas accounting.
Experience in designing and building statistical forecasting models.

About the job

We are a team of Data Science and Business Analysis experts, who provide model-based decision support to scale Google's Technical Infrastructure optimally. This team works cross-functionally to define and coordinate Zero strategy, develop and scale new solutions that accelerate decarbonization and serve as a point of technical coordination across Google on energy and carbon.

In this role, you will work closely with the Climate Operations team, who is responsible for ensuring that Google achieves Zero emissions and 24/7 carbon-free energy by 2030 for our global operations and value chain. You will use data science to help Google efficiently reduce its carbon emissions. This includes collaborating with internal teams to gather, analyze, and interpret data related to data center emissions, resource consumption, and manufacturing emissions.Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.In this role, you will work closely with the Climate Operations team, who is responsible for ensuring that Google achieves Zero emissions and 24/7 carbon-free energy by 2030 for our global operations and value chain. You will use data science to help Google efficiently reduce its carbon emissions. This includes collaborating with internal teams to gather, analyze, and interpret data related to data center emissions, resource consumption, and manufacturing emissions.

Responsibilities

Develop, maintain, support, and enhance custom estimation and forecasting tools for the energy-use and carbon-footprint of Google’s AI machine infrastructure.
Develop data pipelines and modeling tools that help Google improve its measurements and forecasts of carbon emissions.
Build optimizations and simulation tools to help Google develop a greenhouse gas reduction strategy to a range of possible future scenarios.
Drive analysis and modeling, drawing from multiple investigative methods and choosing the right method and level of complexity appropriate for the business issues.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, USA; Sunnyvale, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":17,"item":{"@type":"JobPosting","title":"Senior Product Data Scientist","datePosted":"2025-08-15","description":"

Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship.

We do. We can’t cram it all in here, but you’ll start noticing it from the first interview.

Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters.

This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move.

Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture.

If that sounds exciting—and the job description below feels like a fit—we really should start talking.

We are a hybrid company with a focus on in-person collaboration when necessary. Employees are expected to be available to work from one of our office hubs at least two days per week. Our hub locations include: Raleigh, NC; Austin, TX; Chicago, IL; Minneapolis, MN; New York City, NY; San Francisco, CA; and the Washington, DC metro area. If this is a role based in Europe, our Europe hub locations are London, UK and Amsterdam, The Netherlands. Please ensure you can realistically commit to this structure before applying.

At BetterUp, data is the foundation of how we unlock human potential. We're looking for an experienced Product Analyst to partner with our Product squads, using genAI and advanced analytics to drive product innovation and optimize user experiences across our Human Transformation Platform.

You'll thrive in this role if you're naturally curious, proactive in surfacing insights, and passionate about working in a fast-paced, high-growth environment where innovation, collaboration, and strategic thinking drive meaningful impact. If you're excited about leveraging the power of analytics and cutting edge technology to shape product strategy and create data-driven solutions, we'd love to hear from you! 🚀

What you’ll do:

Partner with Product squads to design measurement strategies, define success metrics, and ensure data-driven decision making across the product development lifecycle
Collaborate with Engineering to instrument new product features and build datasets that enable deep user behavior analysis and product performance monitoring
Leverage GenAI tools to accelerate insight generation, automate routine analyses, and explore innovative approaches to understanding unstructured user feedback and behavioral patterns
Champion data literacy and AI-powered analytics across product teams, training partners on both traditional self-service tools and emerging GenAI capabilities for hypothesis generation and insight discovery
Own and evolve product analytics infrastructure in Looker, including building self-serve dashboards, defining key dimensions, and ensuring data quality across product metrics
Design and analyze A/B tests and product experiments, translating results into clear recommendations for product optimization and feature development
Conduct deep-dive analyses to understand user journeys, identify friction points, and uncover growth opportunities that directly inform product roadmaps
Build standardized KPI frameworks and automated reporting to monitor product ecosystem health, user engagement, and feature adoption
Translate complex analytical findings into compelling narratives for cross-functional stakeholders and executive leadership

If you have some or all of the following, please apply:

Technical expertise: 5+ years in SQL with strong statistical analysis coding/programming skills; LookML and Python experience preferred
Product analytics depth: Proven experience in B2B SaaS product analytics, including user behavior analysis, funnel optimization, and cohort analysis; hands-on experience with tools like Amplitude and experimentation platforms
AI innovation mindset: Curiosity and hands-on experience with GenAI applications in analytics—whether through prompt engineering, LLM-powered data exploration, or automated insight generation—with enthusiasm for transforming how analytics teams operate
Strategic mindset: Demonstrated ability to connect data insights to business outcomes, think like a product owner, and make effective prioritization decisions in fast-moving environments
Communication excellence: Exceptional ability to distill complex analytical work into clear, actionable recommendations for both technical and non-technical audiences

Builder mentality: Self-starter approach with experience scaling analytics capabilities, defining measurement frameworks, and establishing best practices in growing organizations; excited to help shape the future of AI-enhanced product analytics

Benefits:

At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community.

Access to BetterUp coaching; one for you and one for a friend or family member
A competitive compensation plan with opportunity for advancement
Full coverage for medical, dental and vision insurance
Employer Paid Life, AD&D, STD and LTD insurance
Flexible paid time off
Per year:
- 13 paid holidays
- 4 BetterUp Inner Work days (https://www.betterup.co/inner-work)
- 5 Volunteer Days to give back
- Learning and Development stipend
Holiday charitable contribution of your choice on behalf of BetterUp
401(k) self contribution

BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

At BetterUp, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, residence location, as well as market indicators. The range below is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future.

$186,000 – $256,000: New York City and San Francisco
$162,000 – $223,000 : All other locations

Protecting your privacy and treating your personal information with care is very important to us, and central to the entire BetterUp family. By submitting your application, you acknowledge that your personal information will be processed in accordance with our Applicant Privacy Notice. If you have any questions about the privacy of your personal information or your rights with regards to your personal information, please reach out to support@betterup.co

#LI-Hybrid

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Job Category: Information Technology

Time Type: Full time

Minimum Clearance Required to Start: None

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Local

* * *

CACI is currently looking for a motivated, career and customer-oriented SME level Data Scientist and Product Architect with Agile methodology experience to join our Customs and Border Protection (CBP) Land Border Integration (LBI) Integrated Traveler Initiative 2.1 (ITI2.1) team in Northern Virginia! Join this passionate team of industry-leading individuals supporting the best practices in Agile Software Development and hardware integration for the Department of Homeland Security (DHS).

As a member of the ITI2.1 Team, you will support the men and women charged with safeguarding the American people and enhancing the Nation’s safety, security, and prosperity. CBP Officers and Border Patrol agents are on the front lines, every day, protecting our national security by combining customs, immigration, border security, and agricultural protection into one coordinated and supportive activity.

CACI agile programs thrive in a culture of innovation and are constantly seeking individuals who can bring creative ideas to solve complex problems, both technical and procedural at the team and portfolio levels. The ability to be adaptable and to work constructively with a technically diverse and geographically separated team is crucial.

What you’ll get to do:

The Data Science subject matter expert will manage and use data to design data-driven predictive maintenance model, infer and recommend business decision, and conduct root cause (causality) analysis, support IoT device signal analytics, and trend analysis for ITI2.1 requirement. We are looking for experienced engineers who know how to solve complex big data problems, work with algorithms, analyze big data and can run end-to-end data analytical pipeline.

Develop an understanding of the customer’s data environment through data profiling and statistical analyses
Execute complex SQL queries
Design and development of complex large scale OLTP systems
Obtain, scrub, explore, model and interpret data currently stored in Oracle various types of databases - using SQL and other data mining tools
Perform statistical analysis and tune using test results
Study appropriate datasets and transform data science prototypes
Research and implement appropriate machine learning algorithms and tools and develop machine learning applications according to requirements
Train data-driven learning model.
Maintain and work with data pipeline that transfers and processes large scale of heterogenous structural/non-structural data using Spark, Scala, Python, Apache Kafka, TensorFlow, PyTorch, and/or other data analytic tools
Design, build and support pipelines of data transformation, conversion, validation 
Build data manipulation, processing, and data visualization tools and share these tools across the team.
Leverage the statistical and computational knowledge to build algorithms for reporting.
Apply data analysis, data mining and data engineering to present data clearly and develop experiments
Ensure high-quality data and understand how data is generated out experimental design and how these experiments can produce actionable, trustworthy conclusions.
Assist senior management in making key business decisions.
Work with development teams to build tools for data logging and repeatable data tasks that will accelerate and automate data scientist duties.

You have:

Must be a U.S. Citizen with the ability to pass CBP background investigation, criteria includes, but not limited to:
3-year check for felony convictions
1-year check for illegal drug use
1-year check for misconduct such as theft or fraud
Bachelor’s degree in computer science, Math, Physics, Engineering, Statistics or other technical field and minimum 10 years of experience or equivalent.
Conceptual understanding of – and/or prior experiences related to – data profiling, fuzzy matching, entity resolution, and signal detection theory (specifically with respect to SD theory: designing and improving upon systems that monitor, minimize, and balance false positive and false negative outcomes). Experience manipulating large data sets through statistical software using SAS, SPSS, R, or Matlab or other methods
Experience with developing predictive models for using large data sets for high transactional volume environment
Experience with evaluating and measuring performance of models
Should have a firm understanding of common statistical modeling and techniques (e.g., linear regression, decision trees).
Strong algorithmic problem-solving skills. Experience with statistics, modeling and machine learning techniques Statistics including but limited to hypothesis testing, regression, clustering, classification, and optimization.
Ability to understand and analyze data models – how the data is stored in relational databases
Ability to understand system integration aspects of integrating model input and output in transactional systems to help real time decision making
Good understanding software application architecture and develop integration approaches for predictive models
Possess the ability to perform with little direct supervision as a self-starter. Be a self-motivated, creative, and inquisitive problem solver with a strong work ethic and data integrity.
Strong organization and time management skills – prior experience in leading a small team is preferred
Must be available to work a hybrid schedule with an on-site requirement in Sterling, VA

Bonus would be having:

Strong government/CBP platform experience.
Experience working with Hadoop, Pig/Hive, Spark, MapReduce
Comprehensive Deep Learning and machine learning experience
Know Python and essential data analytical packages, PyTorch or TensorFlow
Bayesian learning and modeling experience
Knowledge of Probabilistic learning, time series analysis
Strong problem-solving skill and research capabilities
Computer vision and image processing background
Working knowledge of the CBP Port of Entry systems and/or their operational requirements.
Experience automating business processes using RPA technologies

________________________________________________________________________________________

What You Can Expect:

A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.

Your potential is limitless. So is ours.

Learn more about CACI here.

________________________________________________________________________________________

Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here.

The proposed salary range for this position is:

$120,800 - $265,800

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.","hiringOrganization":{"@type":"Organization","name":"CACI International Inc","sameAs":"https://www.caci.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"293 STERLING VA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":19,"item":{"@type":"JobPosting","title":"Data Scientist, Product Analytics","datePosted":"2025-08-13","description":"As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a varied set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.

Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.

Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.Data Scientist, Product Analytics Responsibilities

Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

Minimum Qualifications

Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
6+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
6+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]

Preferred Qualifications

Master's or Ph.D. Degree in a quantitative field

About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tel Aviv, Israel","addressCountry":"Israel","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":20,"item":{"@type":"JobPosting","title":"Product Data Scientist - Applied AI","datePosted":"2025-07-02","description":"Data Cycling Center (DCC) is a Data Science team that develops AI-driven content (unstructured data) understanding capabilities, identifies business opportunities from the understanding, and builds products and solutions to capture those opportunities.
\n
\nOur mission is to simplify the acquisition and utilization of unstructured/unlabeled data. The team act as the data modeling factory, using and analyzing mass data and finding useful insights for business growth.
\n
\nAbout the role
\nAs an Applied Al Data Scientist at the Applied AI team, you'll work at the intersection of data science, algorithm innovation, and content ecosystem research. You will collaborate closely with product and algorithm teams to identify actionable insights and build scalable solutions that improve user experience, strengthen content integrity, and support strategic decision-making.
\n
\nKey Responsibilities:
\n• Apply data science methods and statistical theory to analyze TikTok's content ecosystem and recommend strategies for improvement.
\n• Design and define core KPI metrics that measure the health, stability, and fairness of content systems; evaluate trade-offs across different strategies or product interventions.
\n• Use statistical sampling methods to determine appropriate sample sizes and ensure core metric robustness.
\n• Build frameworks to assess multi-business content flows, balancing risks from negative content while promoting positive content signals.
\n• Conduct quantitative research using causal inference, statistical modeling, and experimentation to detect risks and opportunities in the content ecosystem and propose strategic improvement plans supported by unbiased data-driven indicators.","hiringOrganization":{"@type":"Organization","name":"TikTok","sameAs":"https://www.tiktok.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore, Singapore","addressCountry":"Singapore","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Sr. Staff Product Data Scientist","datePosted":"2025-07-21","description":"

We're Celonis, the global leader in Process Mining technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing data and intelligence at the core of business processes - and for that, we need you to join us.

The Team:

The Product Analytics & Data Sciences team, a part of the Product & Engineering organization, empowers teams across the company to make evidence-based decisions. We deliver actionable insights by collecting, organizing and interpreting data about user journeys, product telemetry, incidents, infrastructure utilization, sales motions, and much more. We transform data into analytic assets by conducting exploratory analysis, identifying outliers, validating hypotheses, building statistical models, quantifying risk; communicating findings through well crafted stories and critical recommendations. .

The Role:

As a Sr. Staff Product Data Scientist, you'll be a pivotal leader within our Product Analytics & Data Sciences team, directly influencing critical decision-making in a hyper-growth environment. You'll own the end-to-end process of transforming data into significant value, leveraging your advanced analytical and data science expertise to oversee the development of robust data pipelines, sophisticated machine learning models, and compelling visualizations. Beyond your technical leadership, you'll be instrumental in fostering a data-driven culture, leading complex stakeholder discussions, and delivering impactful insights to engineers, managers, and executives through masterful storytelling. This role demands not only exceptional data expertise but also the ability to build and mentor a high-performing team, set long-term data science strategies, and champion innovative approaches to product analytics.

The work you’ll do:

Perform a hands-on leadership role, serving as the organization's primary data science authority. You will guide the team in generating data-driven insights, translating complex information into strategic findings and actionable recommendations for product and engineering leadership. Essential skills include translating quantitative insights into compelling visualizations and narratives for high-level discussions and cross-functional organizational alignment.
Work closely with various departments (e.g. Engineering, Product Management, Value Engineering, Marketing, Sales) to understand their data needs, translate business problems into analytical solutions, leading by example, and ensure the insights generated are actionable and integrated into decision-making processes across the organization.
Leveraging sophisticated statistical analysis and advanced modeling techniques across diverse datasets, including product telemetry, incident logs, user journeys, sales, and infrastructure utilization. This effort aims to boost product adoption, enhance features, and improve customer satisfaction, all while optimizing resource utilization.
Contributing to the development and evolution of the company's data infrastructure, tools, and methodologies. This could involve evaluating new technologies, refining data engineering processes, establishing best practices for data governance and quality, and ensuring the data science team has the necessary resources and platforms to operate effectively and scale their impact.
Stay at the forefront of data science innovation and help define the organizational vision and strategic roadmap for analytics. You will also provide critical mentorship and technical leadership to data scientists and analytics engineers, fostering their growth and enhancing the data science function's technical prowess.

The qualifications you need:

Advanced Degree: Bachelors degree or equivalent with a strong focus on Mathematics, Computer Science, Data Science, or a related quantitative field. Masters or PhD preferred.
Extensive Experience: 15+ years of relevant experience, with at least 6+ years as a Staff Product Analytics Engineer / Staff Product Data Scientist or similar, demonstrating a proven track record of partnering effectively with product, engineering, and growth teams at a senior level.
Technical Mastery: Expert-level technical competence with advanced analytical tools for data extraction, visualization, and analysis (e.g., advanced SQL, Python with extensive libraries like Pandas, NumPy, Scikit-learn, PySpark).
Deep Statistical and Machine Learning Expertise: In-depth understanding and practical application of advanced statistical techniques, experimental design, and various machine learning methodologies for complex product challenges.
Big Data and Predictive Modeling Leadership: Demonstrated experience leading initiatives involving large and complex datasets, sophisticated predictive modeling, and the deployment of data products at scale.
Strategic & Outcome-Oriented Leader: Highly outcome-oriented with exceptional strategic decision-making skills, capable of prioritizing and driving multiple complex objectives to successful completion in fast-paced environments with aggressive deadlines.
Exceptional Communication & Influence: Outstanding written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences, influence stakeholders at all levels, and drive alignment across teams. Meticulous attention to detail.
Agile Leadership & Collaboration: Proven experience leading and optimizing data science workflows within agile teams, leveraging collaboration software like Jira or similar to drive efficiency and transparency.
Leadership in a Dynamic Environment: Eager to lead and thrive in a rapidly growing organization with diverse and international teams spread across multiple locations, demonstrating strong cross-functional collaboration and leadership.

The base salary range below is for the role in the specified location, based on a Full Time Schedule.

Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant's qualifications, skills, experiences, and location.The base salary range below is for the role in California, based on a Full Time Schedule. $232,000—$310,000 USD

What Celonis Can Offer You:

Pioneer Innovation: Work with the leading, award-winning process mining technology, shaping the future of business.
Accelerate Your Growth: Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities.
Receive Exceptional Benefits: Including generous PTO, hybrid working options, company equity (RSUs), comprehensive benefits, extensive parental leave, dedicated volunteer days, and much more. Interns and working students explore your benefits here.
Prioritize Your Well-being: Access to resources such as gym subsidies, counseling, and well-being programs.
Connect and Belong: Find community and support through dedicated inclusion and belonging programs.
Make Meaningful Impact: Be part of a company driven by strong values that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future.
Collaborate Globally: Join a dynamic, international team of talented individuals.
Empowered Environment: Contribute your ideas in an open culture with autonomous teams.

About Us:

Celonis makes processes work for people, companies and the planet. The Celonis Process Intelligence Platform uses industry-leading process mining and AI technology and augments it with business context to give customers a living digital twin of their business operation. It’s system-agnostic and without bias, and provides everyone with a common language for understanding and improving businesses. Celonis enables its customers to continuously realize significant value across the top, bottom, and green line. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.

Get familiar with the Celonis Process Intelligence Platform by watching this video.

Celonis Inclusion Statement:

At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.

Your Privacy:

Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices

By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.

Please be aware of common job offer scams, impersonators and frauds. Learn more here.

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To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Data

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

We are looking for a seasoned Data Science expert to help build a world-class data science and analytics platform that supports and scales data-driven product decision-making.

As a Senior Product Data Scientist, you will work closely with cross-functional partners to proactively define the product landscape, derive insights from data, communicate key findings to product executives, and directly contribute to product strategy building and implementation. You’ll partner with Product, Design, and Engineering (PDE) to contribute directly to product development—shaping what we build, how we measure success, and when/how we iterate and improve.

At Slack, we foster a positive, diverse, and supportive culture. We look for people who are curious, bold, and eager to improve every day. Our team values being smart, humble, hardworking, and above all, collaborative.

What you will be doing

Apply advanced data science techniques to analyze Slack product usage patterns, identifying what’s working, what’s not, and opportunities for improvement.
Conduct evidence-based evaluations to determine key drivers of Slack’s product growth.
Define and report key success metrics, effectively communicating insights to Slack and Salesforce leadership to enable executive level decision making and follow-ups.
Synthesize insights across different product areas and business outcomes, identifying correlations and causal relationships that drive success.
Serve as a domain expert in product data science, guiding best practices and advancing data science methodologies and operations.
Champion evidence-based decision-making, making data and insights accessible and scalable for stakeholders at all levels.

What you should have

5+ years of experience in data science or quantitative analysis, preferably in technology product development or enterprise software.
A related technical degree required.
Expertise in at least one programming language for data science (e.g., Python, R).
Experience working with large-scale data technologies (e.g., Spark, Presto, Hive, Hadoop). Expertise in Apache Airflow is a strong plus.
Strong communication skills. Able to translate complex technical results into clear, actionable insights.
Cross-functional collaboration and influencing skills, with a track record of impacting decisions at both strategic and executional levels.
Experience designing and implementing advanced data models with scalability and efficiency.
Experienced in applying advanced quant measurement techniques in a product development environment

Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

For Washington-based roles, the base salary hiring range for this position is $184,000 to $253,000.

For California-based roles, the base salary hiring range for this position is $200,800 to $276,100.

","hiringOrganization":{"@type":"Organization","name":"Salesforce","sameAs":"https://www.salesforce.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"California - San Francisco, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Sr Data Scientist - Product Availability","datePosted":"2025-08-04","description":"The pay range is $95,000.00 - $171,000.00

Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

JOIN TARGET AS A DATA SCIENTIST – PRODUCT AVAILABILITY

About us:

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Search, Personalization, Generative AI, Supply Chain Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Digital Marketing, Supply Chain Optimization, Search and Personalization rely on. Every Scientist on Target’s Data Sciences teams can expect data modelling, software/product development of highly performant code for Model Performance, to elevate Target’s culture, and apply retail domain knowledge.

As a Data Scientist in Product Availability, you’ll influence by interacting within the Data Sciences team, perform within the scale and scope of your role by implementing solutions, and contribute to Target’s culture. Through your understanding of the foundations and working principles of machine learning algorithms, linear algebra, probability theory, statistics and optimization theory - you will perform data exploration and analysis (look at distributions, find anomalies, create simple visualizations, etc.) and implement algorithmic solution given specifications in applied ML, while adhering to best practices in model development. We will look to you to understand and actively follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD etc.) and create a well-maintainable and tested codebase with relevant documentation. You will get the opportunity to develop in one or more approved programming languages (Python, R, Java), and learn and adhere to best practices in data analysis and data understanding.

As you follow agile processes, you will implement prototypes for individual components of software or data science solutions and understand and leverage basic data structures and algorithms in implementing solutions. Leverage your high-level understanding in business domain to gain knowledge of high-level Target business priorities, strategic goals and their impact, as well as details of the specific business sub-problem you are focused on. You will collaborate with peers on their product, document and present work to peers as well as participate in code reviews and gain broader understanding of different components within the application. The exciting part of retail and Data Science? It’s always changing and scaling!

Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.

About you:

4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience
3+ years of professional experience in applied data sciences or equivalent industry experience
Good knowledge and experience developing ML algorithms, optimization, simulation and statistical models
Strong analytical thinking skills. Ability to creatively solve business problems, innovating new approaches, where required
Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory
Good working knowledge of mathematical and statistical concepts, MILP, algorithms and computational complexity
Passion for solving interesting and relevant real-world problems using a data science approach
Experience in implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series) etc.
Able to produce reasonable documents/narrative suggesting actionable insights
Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs and narratives
Self-driven and results oriented; able to meet tight timelines
Strong team player with ability to collaborate effectively across geographies/time zones

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.

Benefits Eligibility

Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D

Americans with Disabilities Act (ADA)

In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com.

Application deadline is : 08/28/2025","hiringOrganization":{"@type":"Organization","name":"Target","sameAs":"https://www.target.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"7000 Target Pkwy N,NCD-0375 Brooklyn Park,MN 55445, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":24,"item":{"@type":"JobPosting","title":"Staff Data Scientist, Pixel, Product","datePosted":"2025-08-05","description":"

Minimum qualifications:

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related field or equivalent practical experience.
10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years work experience including a Master's degree).
3 years of experience as a people manager within a technical leadership role.

Preferred qualifications:

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
4 years of experience as a people manager within a technical leadership role.

About the job

The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.

Responsibilities

Manage and work with team members to track and verify software improvements.
Design and set up systems to detect system-level issues and anomalies in our consumer populations across many different metrics such that we can detect problems before they affect our millions of users.
Monitor our products over time to make sure new and changing applications, user behavior, and our own hardware do not cause any unanticipated regressions.
Validate that new software releases enhance customer experiences, ensuring value-added features remain within allocated budgets and do not compromise performance.
Optimize the utilization of metrics to enhance data-driven decision-making.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Warsaw, Poland","addressCountry":"Poland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Data Scientist / Senior Data Scientist","datePosted":"2025-07-18","description":"

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI

As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications on the C3 AI Suite. You will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate machine learning / data mining algorithms to answer those questions and implement those on the C3 AI Suite so they can run at scale.

Qualified candidates will have an in-depth knowledge of most common machine learning techniques and their application. You will also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at large-scale.

Note: This is a client-facing position which requires travel. Candidates should have the ability and willingness to travel based on business needs.

Responsibilities:

Driving adoption of Deep Learning systems into next generation of C3 AI products.
Designing and deploying Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance.
Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements.

Qualifications:

MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning).
Experience with prototyping languages such as Python and R.
Strong mathematical background (linear algebra, calculus, probability, and statistics).
Experience with scalable ML (MapReduce, streaming).
Ability to drive a project and work both independently and in a team.
Smart, motivated, can-do attitude, and seeks to make a difference.
Excellent verbal and written communication.
Ability to travel as needed

Preferred Qualifications:

Experience with JavaScript and Java.
Experience with time series and dynamical systems.
A portfolio of projects (GitHub, papers, etc.).

C3 AI provides excellent benefits and a competitive compensation package.

C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

","hiringOrganization":{"@type":"Organization","name":"C3.ai","sameAs":"https://c3.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Data Scientist/ Senior Data Scientist","datePosted":"2025-08-06","description":"

General Summary:

The Data Scientist at the Stone Living Lab (SLL), UMass Boston is responsible for curating, managing and generating ways to make SLL data publicly accessible in a way that obeys FAIR (Findability, Accessibility, Interoperability, and Reuse) best practices. The Data Scientist will work with PIs, partners, and students to create, organize and maintain SLL data management processes as well as generate public-facing products using SLL data. This role will be housed within the School for the Environment and will work on SLL projects.

The Data Scientist will play a crucial role in preparing SLL data for major repositories (e.g. the Environmental Data Repository (https://edirepository.org/), DataONE (https://www.dataone.org/services/), PANGAEA Data Publisher for Earth & Environmental Science (https://www.pangaea.de/, NOAA National Centers for Environmental Information (NCEI), IOOS/NERACOOS), to provide long-term public availability, robust metadata generation, and open APIs. They will work collaboratively with diverse stakeholders, including community organizations, government agencies, academic partners and internal UMB partners to ensure that SLL’s data is managed to the highest standards and communicated widely and equitably to support climate resilience.

Examples of Duties:

1. Data Management and Infrastructure

Design and implement robust data pipelines for ingestion, validation, transformation, and storage that follow best practices for the international data community.
Develop or maintain database systems (e.g. PostgreSQL, cloud storage, APIs) to ensure efficient access and querying.
Work with scientists to ensure standardization and interoperability across different projects (e.g., consistent formats, metadata standards).
Automate data collection and cleaning processes from instruments, sensors, or external sources.
Advise on data privacy and ethical considerations, especially for public-facing platforms.

2. Data Curation and Quality Control

Work with scientists (for domain specifics) to perform data validation and anomaly detection to ensure integrity and consistency.
Work with scientists to create and maintain metadata documentation for datasets (descriptions, provenance, usage guidelines).
Create archiving protocols and pipelines for future use.
Manage version control of datasets and data schemas.
Establish best practices for data governance, archiving, and FAIR principles (Findable, Accessible, Interoperable, Reusable).
Maintain clear, accessible documentation for datasets, codebases, and analytical methods.
Create pipelines between SLL data and the Ocean Biogeographic Information Service (OBIS) and the Global Ocean Observing System (GOOS) for international representation of SLL data.

3. Data Analysis and Interpretation

Assist researchers to analyze datasets to support scientific objectives and extract insights from ecological, biological, or environmental questions.
(Depending on domain knowledge) Use statistical and machine learning techniques where appropriate to model trends or forecast outcomes.

4. Public-Facing Information and App Development Support

Work with scientists and the education team to build data-driven applications, dashboards, or interactive tools for the public, stakeholders, or decision-makers.
Work with real-time data streams to establish data pipelines that quality control data before providing to the public.
Translate research outputs into visualizations, maps, or summaries accessible to nontechnical audiences.
(Depending on experience) Contribute to API design to ensure external users can access selected data securely and intuitively.

5. Cross-Disciplinary Collaboration

Serve as a bridge between scientists, the education team, and external partners.
Help define data needs for different users (researchers, decision-makers, public).
Train lab members in data literacy and reproducible science workflows (e.g., R/Python scripting, GitHub).

6. Documentation and Reporting

Contribute to scientific publications, reports, and grant proposals by providing data summaries and figures.
Assist in tracking data contributions to performance metrics or impact assessments (e.g. number of downloads, reuse in policy tools).

Qualifications:

C. Minimum Qualifications:

Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
2+ years of experience with data science or machine learning in a professional setting.
Experience working with real-world data, including data cleaning, transformation, and exploratory analysis.
Familiarity with statistical analysis.
Strong understanding of climate change impacts and environmental/climate justice.
Strong communication and organizational skills.
Strong problem-solving skills and ability to work independently and with diverse stakeholders.
Excellent written and verbal communications skills.

D. Preferred Qualifications:

Advanced degree (MSc or PhD) in a quantitative discipline.
Experience contributing to or maintaining open-source projects.
Demonstrated ability to design and build ML pipelines and APIs for scalable deployment.
Familiarity with machine learning techniques.
Familiarity with Ecological Meta-Language (EML).
Experience with R Shiny, Python or others.
Knowledge of web content management systems interfacing with relational database systems using common programming languages.
Familiarity with major data hosting platforms for ecological or other environmental data streams (e.g., Data One, OBIS, EDI, or others).
Experience with tabular, imagery, raster, video, and other data formats.
Publications or technical writing in machine learning or data science.

Application Instructions:

Please apply online with your resume, cover letter and list of three professional references.

Review of candidates will begin following the application closing date.

Only Internal candidates in the Professional Staff Bargaining Unit will be considered during the first 10 business days of the posting. All other candidates will be considered after that period.

Salary Ranges for the appropriate Pay Grade can be found at the following link:

Grade: 31

Salary Ranges

This is an exempt union position. This is a grant funded position with a current end date of May 31, 2026, subject to renewal contingent on funding and university needs.

All official salary offers must be approved by Human Resources.

\n\n

UMass Boston is committed to the full inclusion of all qualified individuals. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact HRDirect@umb.edu or 617-287-5150.

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Job Description

To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced
mathematical models that provide analytical support and interpret insights, using advanced analytics technologies, to address business opportunities and problems and implement business strategy.

Innovate by finding the best fit solution for the situation such as the flexibility of delivery and customized solutions which result in more efficient outcomes.
Provide input into localisation of appropriate model building policies, standards, frameworks, and governance process and integration of business modelling and analytics value chain.
Adhere to model building policies, standards, frameworks, and governance process.
Ensure own ethical usage of information that complies to restrictions applied for privacy and sensitivity classification.
Understand and ensure implementation and adherence to Privacy business requirements, legislation and policy.
Ensure reporting of any Information Privacy Incidents and escalate appropriately for resolution of Privacy and Protection Audit Findings, Complaints, Incidents, Investigations and Privacy and Protection Assessments.
Create delivery plans for achievement of outputs / deliverables in collaboration with business stakeholders to understand information requirements for strategy delivery and define metrics that track performance.
Analyse available data to identify information commercialisation opportunities that have not been explored to address business needs and revenue options.
Productionize analytics in the approved FirstRand architecture by translating technical data information into practical business information that addresses identified needs.
Analyse information requirements, availability and quality of data to feed into management for resolution.
Contribute to the development of core analytical capabilities or model libraries using advanced statistical, quantitative or econometric techniques and utilise as appropriate.
Collaborate with numerous departments across the business to aid them in the proper use of data to ensure delivery of desired operational results.
Participate in relevant project related to the business overall analytical needs and opportunities.
Serve as SME for analytics applying own understanding of the operations of the business product or service.
Build models that analyse processes to recommend areas for optimisation to achieve cost savings, revenue generation or efficiency improvements for the business.
Document and audit relevant processes.
Document and implement models to address specific business requirements.
Conduct appropriate manipulation and analysis of data to pro-actively identify and meet needs of the business for the purpose of future work and to ensure high information-quality and reliability across the business.
Apply own understanding of statistical techniques to determine approach to provide input required for decisions and design or evaluation of experiments.
Apply technical concetps such as (Multivariable Calculus, Linear Algebra etc.) concepts to improve predictive performance or algorithm optimisation in data defined products.
Implement Machine learning mathematical algorithms and automation techniques using open-source programming languages such as SAS or Python libraries.
Utilise advanced Predictive modelling techniques to hold insight into outcomes and future events thatmconfront key assumptions.
Utilise data to model complex abstractions in machine learning research to enable deep learning.
Utilise pattern recognition technology to recognizes patterns in data and the criteria for use interchangeably with machine learning technology.
Build and program own statistical model in statistical software for application development to productionize the model into a software application conducted by software developers.
Conduct Text analytics to examine unstructured data to glean key business insights.
Understand principles of Data Wrangling to identify and recommend corrective actions for imperfections in data quality.
Participate in enterprise-wide high level problem resolution by interacting with relevant engineers and product managers, utilising appropriate methods and decide when approximations make sense.
Conduct data visualisation to present data, findings and techniques to audiences, both technical and nontechnical in a pictorial or graphical format so it can be easily analyzed utilising principles of visually encoding data and communicating information.
Maintain ownership of models through regular audits and updates to ensure relevance.
Plan and perform regular model updates that capture evolving business complexity in current models.
Challenge current models to ensure relevance and accuracy of outputs.
Test outputs and accuracy of models to ensure relevance.
Use data and analytic insights to provide input into improving customer experience through a better understanding of the customers context to identify monetization opportunities and monitoring implementation of business decisions to recommend enhancements utilizing statistical modelling and data analysis.
Validate, interpret and create reports and presentations for data analytics management and relevant stakeholders.
Review and assist more junior Quantitative Analysts with processes and models.
Participate and contribute to a development culture where information regarding successes, issues, trends and ideas are actively shared.
Build and sustain collaborative working relationships with relevant peers and stakeholders to achieve productivity synergies.
Participate in specialist communities of practice and contribute positively to own and organisational knowledge improvement.
Contribute to the development of a budget aligned to operational delivery plans, monitor effectiveness and report on variances.
Build relationships that allow for the managing of expectations; the sharing of knowledge and diverse insights; and the creation of buy-in.
Engage in cross-functional relationships to obtain and to provide work support.
Take all necessary actions to ensure compliance with relevant statutory, legislative, policy and governance requirements in area of accountability.
Ensure implementation of relevant policies, governance and practice standards across the business.
Maintain expert knowledge on relevant legislative amendments, industry best practices and business's internal compliance procedures and requirements.
Ensure compliance is adopted in terms of systems and procedures as laid out by business.
Implement and provide input into the development of governance and compliance procedures and processes within area of specialization and identify risks.
Determine the business questions that need be answered and determine appropriate analytics models for utilization.
Source and prepare relevant data sources for analysis.
Translate business requirements into tangible models utilizing own understanding of the business value of projects, models and processes.
Develop and apply analytical algorithms and methods to build, test and implement advanced mathematical models and analytical solutions that address business problem, opportunities and improve business outcomes i.e. reduced risk and costs, increased profitability, optimized efficiency and to facilitate strategic decision-making.

Requirements:

Honors Actuarial Science, Quantitative Risk Managements, Statistic, Mathematics or similar
Pricing Experience required (at least 2yrs)
Total experience of at least 5yrs in a Pricing/Credit related role
Advanced SAS skills with VBA & SQL preferable
Manage & upskill a team of junior and senior data scientists to contribute to the success of the team.

#post

#fnb

#LI-LH1

Job Details

Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.

26/07/25

All appointments will be made in line with FirstRand Group’s Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.

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You could be a data scientist anywhere. Why us?

Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size)
Partner with our VP of Data Science & Analytics, Armando La Rocca (ex-BCG, Better)
Disrupt a massive market and take us to a $10B business in the next few years
Be immersed in a talent-dense environment and greatly accelerate your career growth

About the opportunity:

Jerry is looking for a Data scientist to join our growing team! We hit a huge milestone in early 2024 by achieving profitability and have ambitious goals for the next few years — scale from 5M to 50M customers and become a $10B business. As a data scientist, you will play a key role in championing data-driven decisions across the company’s most critical business initiatives (including carrier growth and development, building new products from 0-1, etc.). As part of the data science & analytics team, you will leverage advanced machine learning models to conduct in-depth analyses and extract insights that will shape our growth strategies.

Jerry is building the first super app to make car ownership affordable and accessible – insurance, buy/sell, registration, loans, safety, repairs, parking, etc – a $2T market in the U.S. We started with insurance in 2019, and since then we’ve launched loan refinancing, driving insights, repair marketplace, car diagnostics, and a GenAI-powered chatbot & voicebot. We have amassed over 5M customers, raised $240MM in funding, scaled our revenue 60X and our team to 225 across 6 countries.

Here's what an ex-BCG teammate has to say about joining Jerry:

\"The biggest difference between my current role at Jerry and my past life at BCG is being able to feel the direct impact my work has on the business, every day. In consulting, I rarely felt like my work was having any impact on the world, despite advising the largest global corporations. Here, I can see that my work is moving the needle on key company metrics in a matter of weeks. When I say \"key,\" I mean it: I am not talking about secondary KPIs that no one pays attention to, but business-critical metrics that the CEO and the rest of the C-suite look at on a daily basis (think sales, retention, pricing, etc).

The benefit of being a digital-first company is that we are sitting on a treasure trove of data. This means we almost never have to make a decision that's not backed by a robust, statistically significant analysis. While data science can be a support function in some other places (this was something I wanted to avoid), data scientists at Jerry are at the core of the business.

I have also appreciated the professional growth opportunities. I have had flexibility to work on the skills I wanted to develop, be it technical or soft skills. I have found continuous learning to be one of my most important drivers of happiness at work. Getting the space and latitude to work on projects that I am most interested in was all the more important for this reason.\"

How you will make an impact:

Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies
Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies
Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth
Identify opportunities to automate manual processes and optimize operational efficiency

Preferred experience:

Bachelor’s degree in a quantitatively or intellectually rigorous discipline
1-3 years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis
High level of comfort with SQL or Python

Who you are:

You have a framework for problem solving and live by first principles
You are comfortable communicating with audiences varying from front-line employees to the company’s C-suite
You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence

While we appreciate your interest and application, only applicants under consideration will be contacted.

Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws.

Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai

About Jerry.ai:

Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.

Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all.

We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started.

Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.

Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.

","hiringOrganization":{"@type":"Organization","name":"Jerry","sameAs":"https://getjerry.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco Bay Area","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":29,"item":{"@type":"JobPosting","title":"Data Scientist","datePosted":"2025-07-21","description":"

You could be a data scientist anywhere. Why us?

Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size)
Partner with our VP of Data Science & Analytics, Armando La Rocca (ex-BCG, Better)
Disrupt a massive market and take us to a $10B business in the next few years
Be immersed in a talent-dense environment and greatly accelerate your career growth

About the opportunity:

Here's what an ex-BCG teammate has to say about joining Jerry:

How you will make an impact:

Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies
Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies
Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth
Identify opportunities to automate manual processes and optimize operational efficiency

Preferred experience:

Bachelor’s degree in a quantitatively or intellectually rigorous discipline
1-3 years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis
High level of comfort with SQL or Python

Who you are:

You have a framework for problem solving and live by first principles
You are comfortable communicating with audiences varying from front-line employees to the company’s C-suite
You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence

While we appreciate your interest and application, only applicants under consideration will be contacted.

About Jerry.ai:

Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.

We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started.

Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.

Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.

","hiringOrganization":{"@type":"Organization","name":"Jerry","sameAs":"https://getjerry.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas, Texas","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":30,"item":{"@type":"JobPosting","title":"Data Scientist","datePosted":"2025-07-21","description":"

You could be a data scientist anywhere. Why us?

Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size)
Partner with our VP of Data Science & Analytics, Armando La Rocca (ex-BCG, Better)
Disrupt a massive market and take us to a $10B business in the next few years
Be immersed in a talent-dense environment and greatly accelerate your career growth

About the opportunity:

Here's what an ex-BCG teammate has to say about joining Jerry:

How you will make an impact:

Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies
Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies
Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth
Identify opportunities to automate manual processes and optimize operational efficiency

Preferred experience:

Bachelor’s degree in a quantitatively or intellectually rigorous discipline
1-3 years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis
High level of comfort with SQL or Python

Who you are:

You have a framework for problem solving and live by first principles
You are comfortable communicating with audiences varying from front-line employees to the company’s C-suite
You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence

While we appreciate your interest and application, only applicants under consideration will be contacted.

About Jerry.ai:

Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.

We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started.

Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.

Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.

","hiringOrganization":{"@type":"Organization","name":"Jerry","sameAs":"https://getjerry.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta, Georgia","addressCountry":"Georgia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":31,"item":{"@type":"JobPosting","title":"Data Scientist","datePosted":"2025-07-21","description":"

Job Title: Data Scientists (2 positions)

Job Location: 1423 Red Ventures Drive, Fort Mill, SC 29707

Description of Duties:

Two Data Scientists sought by RBUS Inc, a Red Ventures Company, headquartered in Ft. Mill, SC, to build machine learning and data science models with proprietary data to support operations and create lasting impact. Job duties include using algorithms for planning, construct SQL queries within SAP’s ERP, using Appian, working with EDA and utilizing linear programming.

Rate of Pay: $135,000.00 to $150,000.00/year

Minimum Job Requirements:
30 Months of experience in the job offered or a directly related occupation such as Senior Engineer is required and must include: 18 months of experience using regression, optimization and simulation algorithms in Excel to predict & achieve optimal resource allocation and capacity planning; 1 year of experience constructing SQL queries within SAP’s Enterprise Resource Planning (ERP) system to analyze past projects, improving data-driven decisions; 2 years of experience utilizing Exploratory Data Analysis (EDA) to clean, process and summarize data that fueled interactive charts and graphs to facilitate project tracking and informed decision-making; 6 months of experience using Appian to create a mobile app to track material movements and integrate that data with Power BI dashboards for real-time tracking and project monitoring; 1 year of experience using Linear Programming in Excel to optimize vendor selection cost & to build and track KPIs for capacity and quality measures. Telecommuting within the U.S. is permissible.

Applicants are to Respond to: RBUS, Inc., A Red Ventures Company, 1423 Red Ventures Drive, Fort Mill, SC 29707 Attn: HR, Req. #1052.

If you are based in California, we encourage you to read this important information for California residents by visiting https://www.redventures.com/legal/ca-emp-privacy-notice

#LI-DNI

Click here for more details regarding the employee privacy policy: https://www.redventures.com/legal/us-emp-privacy-notice

Questions about this Privacy Notice can be directed to employeerights@redventures.com. Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

","hiringOrganization":{"@type":"Organization","name":"Red Ventures","sameAs":"https://www.redventures.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Charlotte, NC","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":32,"item":{"@type":"JobPosting","title":"Data Scientist","datePosted":"2025-07-21","description":"The Senior Data Scientist is responsible for developing advanced analytical and machine-learning solutions to optimize user engagement and retention in our mobile applications. The Senior Data Scientist will work closely with product managers, engineers, and other stakeholders to drive data-driven decision-making and deliver insights that enhance the user experience. The Senior Data Scientists provides data solutions that equip teams and ministries to further Life.Church’s mission and to reach people for Christ.
YouVersion was created by the local church in 2007 and remains a ministry of Life.Church today. At Life.Church, our mission is to lead people to become fully devoted followers of Christ. Our team is committed to reaching people worldwide through innovative technology. And YouVersion is one of the ways we get to do that. Life.Church is a multi-site Christian church meeting in the United States and globally at Life.Church Online.
We wholeheartedly believe a daily rhythm of seeking intimacy with God has the power to transform lives. That’s why YouVersion creates biblically-based experiences that encourage and challenge people to seek God. We hope everyone in our community is on an active journey to become who God made them to be, abiding in Him, and drawing closer every day. \n

What You’ll Do

Analyze large-scale datasets in BigQuery to extract actionable insights on user behavior, engagement, and app performance.
Develop metrics and KPIs to track user acquisition, retention, and in-app behaviors across multiple apps.
Conduct funnel analysis, cohort analysis, and segmentation studies to understand user journeys and identify growth opportunities.
Design, build, and deploy predictive models to enhance app personalization, recommend content, and improve ad targeting.
Develop models for churn prediction, lifetime value estimation, and user segmentation to inform product and marketing strategies.
Leverage BigQuery ML and other cloud-based machine learning tools to streamline the modeling process within the Google ecosystem.
Design and analyze A/B tests to evaluate the impact of new features, UX changes, and marketing strategies on user engagement and retention.
Implement statistical methods to assess test results, including sample size calculation, significance testing, and post-test analysis.
Document and share best practices for experimentation with cross-functional teams.
Work closely with data engineers to build, optimize, and maintain ETL pipelines in BigQuery, ensuring data availability and accuracy.
Define and implement data quality checks and standardization procedures for mobile app data.
Advocate for data infrastructure improvements and guide the design of efficient data pipelines.
Develop interactive dashboards and visualizations in tools such as Tableau, or Looker to present insights to product, marketing, and engineering teams.
Translate complex data insights into clear, actionable recommendations for both technical and non-technical stakeholders.
Present findings regularly to senior leadership, providing strategic guidance based on data-driven insights.
Mentor junior data scientists and analysts, providing guidance on best practices in data science, mobile app analytics, and BigQuery usage.
Lead cross-functional data projects, ensuring alignment on goals, methodology, and timelines.
Stay updated with industry trends and new technologies, sharing relevant knowledge with the team and encouraging innovation.

Skills Needed to Succeed

Ability to self-motivate, make independent decisions, and solve problems with innovation.
Effective at multi-tasking and time management to meet strict deadlines while remaining flexible and open to change.
Excellent verbal, written, and interpersonal communication skills to clearly explain complicated processes and foster partnerships.
Effective at process and organizational management to coordinate, structure, and provide vision to projects.
Strong leadership skills and understanding of developing and guiding others.
A strong background in data science, experience with mobile app analytics, and expertise in leveraging Google BigQuery for large-scale data processing and analysis.
Proficiency in Python or R for data analysis, modeling, and machine learning.
Familiarity with data visualization tools like Google Data Studio, Tableau, or Looker to create dashboards and reports.
Strong understanding of mobile app analytics, including metrics for user engagement, retention, and funnel analysis preferred.
Experience with app tracking frameworks and attribution tools(e.g., Firebase, Adjust, AppsFlyer) preferred.
Knowledge of statistical techniques for experiment design and analysis preferred(e.g., causal inference, propensity score matching).
Familiarity with app store optimization(ASO) and mobile marketing analytics preferred.
Master’s degree or Ph. D. in Data Science, Statistics, Computer Science, Applied Mathematics, or a related field.
5+ years of experience in data science or analytics, with at least 2 years in the mobile app industry.
Advanced proficiency in Google BigQuery, including SQL query optimization, data processing, and BigQuery ML for machine learning.
Experience with machine learning algorithms for classification, regression, clustering, and time series analysis.

Benefits We Offer・ Paid parental leave, including maternity, paternity, and adoption leave.・ Generous employer-paid leave for the use of vacation, sick time, and other qualifying reasons. ・ Innovative and comprehensive Medical, Dental, and Vision insurance that provides team members with useful resources and savings to navigate their holistic health. ・ Life insurance policy provided for all staff members at 2x annual salary at no cost. Additional life insurance coverage is available to purchase. ・ Short-Term and Long-Term disability is covered at 100% for full-time qualified staff members.・ Comprehensive wellness and mental health benefits allow staff to proactively invest in their physical and emotional health.・ Generous 401(k) retirement plan allowing a team member to have up to 12.5% (including employee contribution, employer match, and employer discretionary contribution) contributed into their account in their first year. It doesn’t stop there—the more years on staff, the greater the investment! ・ $160 annually in development dollars for team members to invest in their professional growth. ・ Casual dress and work environment.・ And much more!
Our Beliefs, Culture, and Commitment to DiversityAt Life.Church, every staff member, and intern is a minister and is expected to engage in the church's ministry fully. We consider ministry readiness and an individual’s capacity to represent Life.Church’s beliefs as a minister during the selection process for all staff and intern positions. An essential function within every position held by a staff member or intern at Life.Church is to uphold and represent the beliefs of Life.Church. Learn more about what we believe at Life.Church.
While we unite around our mission, we know unity doesn’t mean uniformity. Our calling is too great, and our mission is too important not to be intentional about strengthening our team through diversity. We know that diverse perspectives in race, ethnicity, background, age, and gender are essential to reaching the world for Christ. To learn more about how we strengthen our team through diversity, visit our careers page.
All data collected in our application process, from resume collection to application questions, is used for recruitment purposes only.","hiringOrganization":{"@type":"Organization","name":"Life.Church","sameAs":"https://www.life.church/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Edmond, OK","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"Data Scientist","datePosted":"2025-07-21","description":"

Overview

GovCIO is currently hiring for Data Scientist for operational security (OpSec) to enhance an organization's security posture and proactively mitigate threats. This position will be located in Lackland AFB, TX and will be an on-site position.

Responsibilities

Develops, inspects, mines, transforms, and analyzes data to create descriptive and predictive models that impact productivity, decision making, and provide strategic mission impact. Data Analysis -- Applies data mining, machine learning, and statistical analysis on data to create predictive and descriptive models. Applies and integrates these models to develop segmentation, clustering, forecasting, classification and other models. Data Visualization -- Applies Data discovery and data visualization tools to interpret and present the findings in a compelling and usable manner. Maintains and integrates analytical systems with operational systems, verifies the accuracy of the data and analytics. Interacts with both business and data SMEs.

Generates new business insights through data extraction, storage, transformation, analysis, and visualization of diverse data sets.
Using data to improve threat detection, vulnerability assessment, and prevention.
Analyzing large datasets to find patterns and insights that inform cybersecurity strategies
Collaborating with cybersecurity teams to integrate data science models into the security framework is essential.
developing data-driven algorithms and models, often using machine learning for anomaly detection, to identify potential cyber threats.

Qualifications

High School with 6 - 9 years (or commensurate experience)

Required Skills and Experience

Clearance Required: TS/SCI
5+ years of experience in data science, including data analysis, statistical modeling, and machine learning.
Experience with programming proficiency in languages like Python, R, and SQL
Familiarity with security tools like SIEM systems and intrusion detection systems
Strong communication, problem-solving, and collaboration skills

Preferred Skills and Experience

Company Overview

GovCIO is a team of transformers--people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens.But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer?

What You Can Expect

Interview & Hiring Process

If you are selected to move forward through the process, here’s what you can expect:

During the Interview Process\n
- Virtual video interview conducted via video with the hiring manager and/or team
- Camera must be on
- A valid photo ID must be presented during each interview

During the Hiring Process\n
- Enhanced Biometrics ID verification screening
- Background check, to include:\n
  - Criminal history (past 7 years)
  - Verification of your highest level of education
  - Verification of your employment history (past 7 years), based on information provided in your application

Employee Perks

At GovCIO, we consistently hear that meaningful work and a collaborative team environment are two of the top reasons our employees enjoy working here. In addition, our employees have access to a range of perks and benefits to support their personal and professional well-being, beyond the standard company offered health benefits, including:

Employee Assistance Program (EAP)
Corporate Discounts
Learning & Development platform, to include certification preparation content
Training, Education and Certification Assistance*
Referral Bonus Program
Internal Mobility Program
Pet Insurance
Flexible Work Environment

*Available to full-time employees

Our employees’ unique talents and contributions are the driving force behind our success in supporting our customers, which ultimately fuels the success of our company. Join us and be a part of a culture that invests in its people and prioritizes continuous enhancement of the employee experience.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets.

Posted Pay Range

The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an “at-will position” and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors.

Posted Salary Range

USD $120,000.00 - USD $130,000.00 /Yr.","hiringOrganization":{"@type":"Organization","name":"GovCIO","sameAs":"https://govcio.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"JBSA Lackland AFB, TX, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":34,"item":{"@type":"JobPosting","title":"Data Scientist","datePosted":"2025-07-20","description":"

Do you want to see your data insights directly strengthen the defenses of critical security products?

Do you thrive on dissecting complex data to outsmart sophisticated attackers?

Join our Global Web Security group

Our team is part of the Application Security organization, responsible for the technologies powering Akamai's security products and protecting some of the world's major internet brands. Working in partnership with Global Services, Engineering, and Product teams we help our customers get the best protection against threat actors.

Shape internet security

In this role, you'll play a key part in strengthening security products by analyzing data, addressing customer challenges, and driving product improvements. You'll collaborate across teams to implement solutions, enhance detection accuracy, and provide insights that shape strategy and performance.

As a Data Scientist, you will be responsible for:

Being proactive analyzing large datasets to identify emerging patterns of unmitigated attacks and incorrectly blocked human requests
Resolving customer-reported escalations related to bot and abuse products and implementing corrective tuning
Collaborating with Engineering and Product teams to translate analytical insights into actionable recommendations for enhancing the overall security posture and product capabilities
Engaging with Professional Services and customers to implement product enhancements
Generating regular reports on attack trends, mitigation effectiveness, and key security metrics for stakeholders
Developing and implementing detection rules and models to improve the accuracy and effectiveness of the security products

Do what you love

To be successful in this role you will:

Have 0 to 2 years of relevant experience and a Bachelor's degree in Computer Science or its equivalent
Have experience with data analysis for security applications
Have practical knowledge of application security products such as WAF and bot detection
Have experience in SQL and familiarity with Python or similar programming languages
Demonstrate familiarity with Internet protocols including TCP/IP, HTTP, DNS, TLS/SSL
Have great verbal and written communication skills

Work in a way that works for you

FlexBase, Akamai's Global Flexible Working Program, is based on the principles that are helping us create the best workplace in the world. When our colleagues said that flexible working was important to them, we listened. We also know flexible working is important to many of the incredible people considering joining Akamai. FlexBase, gives 95% of employees the choice to work from their home, their office, or both (in the country advertised). This permanent workplace flexibility program is consistent and fair globally, to help us find incredible talent, virtually anywhere. We are happy to discuss working options for this role and encourage you to speak with your recruiter in more detail when you apply.

Learn what makes Akamai a great place to work

Connect with us on social and see what life at Akamai is like!

We power and protect life online, by solving the toughest challenges, together.

At Akamai, we're curious, innovative, collaborative and tenacious. We celebrate diversity of thought and we hold an unwavering belief that we can make a meaningful difference. Our teams use their global perspectives to put customers at the forefront of everything they do, so if you are people-centric, you'll thrive here.

Working for you

At Akamai, we will provide you with opportunities to grow, flourish, and achieve great things. Our benefit options are designed to meet your individual needs for today and in the future. We provide benefits surrounding all aspects of your life:

Your health
Your finances
Your family
Your time at work
Your time pursuing other endeavors

Our benefit plan options are designed to meet your individual needs and budget, both today and in the future.

About us

Akamai powers and protects life online. Leading companies worldwide choose Akamai to build, deliver, and secure their digital experiences helping billions of people live, work, and play every day. With the world's most distributed compute platform from cloud to edge we make it easy for customers to develop and run applications, while we keep experiences closer to users and threats farther away.

Join us

Are you seeking an opportunity to make a real difference in a company with a global reach and exciting services and clients? Come join us and grow with a team of people who will energize and inspire you!

#LI-Remote

","hiringOrganization":{"@type":"Organization","name":"Akamai Technologies","sameAs":"https://www.akamai.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":35,"item":{"@type":"JobPosting","title":"Data Scientist","datePosted":"2025-07-21","description":"

Description

Shape the Future of Cybersecurity with Us

Are you driven by curiosity, innovation, and the desire to turn cutting-edge research into real-world impact?

Join Cynet, an established but rapidly growing cybersecurity startup, where you'll be part of a small, elite team building groundbreaking AI-powered security products from the ground up. Work alongside top minds in security research, R&D, product, and data engineering to drive innovation and create real value for global customers.

This is your chance to contribute to a foundational mission - developing AI technology that proactively protects against today’s most sophisticated cyber threats.

What will you do

As a Data Scientist at Cynet, you’ll play a central role in shaping our future technology. You’ll:

Own AI product creation end-to-end - from the initial concept through building prototypes to full-scale production.
Drive innovation by developing and integrating ML and Generative AI solutions into Cynet’s core cybersecurity products: Endpoint, XDR, Network Detection, and Posture Management.
Analyze massive volumes of security data to uncover hidden patterns, threats, and insights.
Develop and fine-tune models with state-of-the-art optimization strategies and performance metrics.
Contribute to and expand our AI infrastructure, including data pipelines, evaluation tools, and deployment frameworks.
Conduct rigorous experimentation, explain and monitor the real-world performance of your models.
Write production-ready code that makes it into our deployed AI systems.

Requirements

We’re looking for someone who’s not just a great engineer, but a passionate innovator who puts their soul into solving tough problems and delivering value.

3+ years of experience in researching, developing and delivering ML solutions in production-scale environments.
Solid foundation knowledge of data science, machine learning, and statistics.
Demonstrated analytical thinking and a deep understanding of data - its structure, context, and the insights it can unlock.
Strong Python programming skills with fluency in AI/ML frameworks: Scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain, etc.
Expertise in working with large-scale datasets using SQL, Spark, or similar tools.
Proven success translating product or business needs into working AI systems.
Fast learner, creative, and comfortable working in a dynamic startup environment.
Good communication skills, able to explain complex ideas and findings to both technical and business audiences.

Bonus Points (Preferred)

Experience with cybersecurity-related data or product domains.
Hands-on knowledge in working with LLMs and building AI agents.
Familiarity with AWS cloud environment and MLOps (ML Orchestration, Docker, Kubernetes, MLflow, etc.).

Ready to Empower the Future?

At Cynet, you won’t just be another Data Scientist. You’ll be a thought leader. A builder. An innovator. This is a unique opportunity to envision and shape how AI defends tomorrow’s digital landscape.

If you're ready to dive deep, move fast, and create meaningful impact - we’d love to meet you.

Apply now and let’s build the future of cybersecurity together.

You are

\nNone\n

About Us

\nNone","hiringOrganization":{"@type":"Organization","name":"Cynet","sameAs":"https://www.cynet.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tel Aviv-Yafo, Tel Aviv District, IL","addressCountry":"Israel","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":36,"item":{"@type":"JobPosting","title":"Data Scientist","datePosted":"2025-07-20","description":"

Overview

What do you get when you bring together a team of bright individuals and place them into an environment where “work” means making a difference in the lives of people across the globe?

You get Sciolex Corporation, a fast-growing defense contractor focused on providing the U.S. Government a level of service that surpasses the epitome of excellence. Our core services include systems engineering technical advice, technical support, and administrative assistance. From our humble beginning as a small Service Disabled, Veteran Owned Small Business in Chantilly, VA, Sciolex Corporation is now the home for over 1,000 employees across the U.S.

Over the past 18 years, Sciolex Corporation has constructed an environment that celebrates diversity and encourages a positive work/life balance, all while supporting government missions that our employees are proud to be a part of. When you work for Sciolex Corporation, you are working for a stable company that values you and is committed to ensuring you receive the utmost employee care.

Responsibilities

We are seeking a highly motivated acquisition that will provide specialized technical and engineering expertise supporting the acquisition of computer vision (machine learning automated target recognition) software services. The client is tasked with leading the integration of mission-focused tools to foster increased efficiency, automation, and information sharing. You will also assist and advise Government managers responsible for the complete end-to-end life cycle of the customer's Ground Enterprise.

Provide technical and engineering support to the Government customer to manage computer vision machine learning analytics programs; apply knowledge and experience to develop and scale automatic target recognition models in multiple phenomenologies.
Provide software architecture and other technical expertise to support the planning of future systems and architectures, and oversight of development contractors.
Apply systems analysis and design methodology assessments to identify technical debt, architectural runway, and efficiency trade-offs against current and proposed/desired cloud-based software system design.
Develop briefings and documentation material to illustrate features, capabilities, and mission use cases for the computer vision tool portfolio, including developing technical roadmaps and the acquisition strategies/documentation to implement them.
Facilitate technical and programmatic interchanges; identify and resolve issues; and provide engineering and technical advice to the customer to achieve innovative capabilities for automated machine learning analytics.
Work side-by-side with the other LANDMARK AOS staff comprised of world class System Engineers, Acquisition Engineers, and Domain Experts to lead the customer in acquiring modern processing applications.

Qualifications & Physical Requirements

Active Top Secret/SCI Clearance with Polygraph.
Bachelor's and five (5) years or more experience; relevant experience to be substituted in lieu of degree.
Strong engineering background with knowledge of software architectures and machine learning approaches for computer vision applications.
Domain knowledge in Agile software development practices and Cloud computing architectures.
Experience in applying modern techniques in artificial intelligence (AI), data science, machine learning (ML), or statistics.
Demonstrated high level of initiative, creative problem-solving, and critical thinking.
Demonstrated capability and success working in team environments.
Strong oral and written communications ability on significant technical matters often requiring coordination within a high tempo environment.
Good working knowledge of MS Office applications.

","hiringOrganization":{"@type":"Organization","name":"Sciolex Corporation","sameAs":"https://www.sciolex.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chantilly, VA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":37,"item":{"@type":"JobPosting","title":"Data scientist","datePosted":"2025-07-21","description":"

Comfort level in following Python project management best practices (use of setup.py, logging, pytests, relative module imports,sphinx docs,etc.,)
Familiarity in use of Github (clone, fetch, pull/push,raising issues and PR, etc.,)
High familiarity in the use of DL theory/practices in NLP applications
Comfort level to code in Huggingface, LangChain, Chainlit, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas
Comfort level to use two/more of open source NLP modules like SpaCy, TorchText, fastai.text, farm-haystack, and others
Knowledge in fundamental text data processing (like use of regex, token/word analysis, spelling correction/noise reduction in text, segmenting noisy unfamiliar sentences/phrases at right places, deriving insights from clustering, etc.,)
Have implemented in real-world BERT/or other transformer fine-tuned models (Seq classification, NER or QA) from data preparation, model creation and inference till deployment
Use of GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI,
Good working knowledge on other open source packages to benchmark and derive summary
Experience in using GPU/CPU of cloud and on-prem infrastructures
Skillset to leverage cloud platform for Data Engineering, Big Data and ML needs.
Use of Dockers (experience in experimental docker features, docker-compose, etc.,)
Familiarity with orchestration tools such as airflow, Kubeflow
Experience in CI/CD, infrastructure as code tools like terraform etc.
Kubernetes or any other containerization tool with experience in Helm, Argoworkflow, etc.,
Ability to develop APIs with compliance, ethical, secure and safe AI tools.
Good UI skills to visualize and build better applications using Gradio, Dash, Streamlit, React, Django, etc.,
Deeper understanding of javascript, css, angular, html, etc., is a plus.

Design NLP/LLM/GenAI applications/products by following robust coding practices,
Explore SoTA models/techniques so that they can be applied for automotive industry usecases
Conduct ML experiments to train/infer models; if need be, build models that abide by memory & latency restrictions,
Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools
Showcase NLP/LLM/GenAI applications in the best way possible to users through web frameworks (Dash, Plotly, Streamlit, etc.,)
Converge multibots into super apps using LLMs with multimodalities
Develop agentic workflow using Autogen, Agentbuilder, langgraph
Build modular AI/ML products that could be consumed at scale.

Data Engineering:

Skillsets to perform distributed computing (specifically parallelism and scalability in Data Processing, Modeling and Inferencing through Spark, Dask, RapidsAI or RapidscuDF)
Ability to build python-based APIs (e.g.: use of FastAPIs/ Flask/ Django for APIs)
Experience in Elastic Search and Apache Solr is a plus, vector databases.

Education: Bachelor’s or Master’s Degree in Computer Science, Engineering, Maths or Science

Performed any modern NLP/LLM courses/open competitions is also welcomed.

","hiringOrganization":{"@type":"Organization","name":"Ford Motor Company","sameAs":"https://corporate.ford.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chennai, Tamil Nadu, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":38,"item":{"@type":"JobPosting","title":"Data Scientist","datePosted":"2025-07-21","description":"

Company Description

With roots dating back to 1913, ALDI is proud to make a real difference to people across the world by offering top quality products for low prices. ALDI first entered the Australian grocery market in 2001 and has since grown to have almost 600 stores and 8 distribution centres in 5 states.

If you’ve ever shopped at ALDI you know we are not your average supermarket. We’re also not your average employer. ALDI is a place where you’ll find good people, good purpose and great opportunities. So, you can work with a great team, feel great for making a real difference for everyday Australians and enjoy a rewarding career.

It’s that simple. ALDI Good Different.

Job Description

A high impact opportunity for a Data Scientist has become available within the National Data & Analytics (NDA) department of ALDI stores, based in Minchinbury, NSW. This is a permanent full-time position.
\n
\nThis pivotal role will see you immersing yourself in machine learning and statistical modelling, employing advanced techniques to dissect and understand complex data sets. As a part of our Data Analytics team, you'll be instrumental in creating and maintaining tools which provide valuable insights that guide our decision-making to optimise both time and costs.

What does the role look like?

Build, test, and deploy machine learning models using Python, SQL, Spark, and Databricks on Azure to solve problems in forecasting, operations, and automation
Design and maintain scalable data pipelines and architectures to ensure reliable access for analytics and ML use cases
Apply advanced software architecture and software design patterns to produce scalable, maintainable and reliable code
Implement robust MLOps practices, including model versioning, automated retraining, and performance monitoring
Prototype solutions in advanced domains such as computer vision, optimisation, and generative AI
Translate complex analyses into clear, actionable recommendations through presentations, dashboards, and documentation

And the best part? Every single day at ALDI, you'll know you're making a difference, supporting our mission to help everyday Australians live richer lives for less.

Qualifications

Proven experience building and deploying machine learning models in production environments
Proficient in Python, SQL, and Spark; experience with Databricks and Azure preferred
Strong foundation in statistics, machine learning, and optimisation methods for experimentation and operational decision-making
Familiarity with emerging techniques in computer vision, large language models, or causal inference
Ability to communicate technical findings effectively to business and technical stakeholders
Experience across the full data science lifecycle, including development, deployment, and MLOps practices

Additional Information

Enjoy 5 weeks annual leave for pursuing your passions outside of work.
Enjoy the flexibility of hybrid work options.
Support during life’s most important moments including paid parental leave, including superannuation on parental leave.
Complimentary access to free physiotherapy to treat non-work related aches, pains or niggles.
Work with a company who has been recognised as an Employer of Choice every year since 2018 - 2024.
Access to wellness programs such as discounted health insurance and much more!

Remuneration

Transparent tiered salary range of $139,200 - $158,800 including Superannuation.

Ready to embark on a good different career? To learn more about what it is like to work at ALDI visit our careers website www.aldicareers.com.au

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Title:

Data Scientist

Belong. Connect. Grow. with KBR!

KBR’s National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country’s most critical role – protecting our national security.

Why Join Us?

Innovative Projects: KBR’s work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions.

Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace.

Impactful Work: Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense.

Position Summary:

KBR is seeking a Data Scientist to join our team in Dayton, OH. This position can be onsite or remote. KBR solves the toughest problems for our clients by extracting insight from data, delivering greater decision confidence, and improving processes. Our analysts are involved in a wide range of activities that range from understanding and transforming data, applying state of the art analytic techniques, and driving business impact through insight visualization. Our analysts are leveraged across of range of projects, such as artificial intelligence, advanced analytics, business process improvement, and application development. KBR analysts collaborate with Operations Research Analysts, Software Development Professionals, Data Architects, and Subject Matter Experts.

Key Responsibilities:

Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries
Research and apply state-of-the-art artificial intelligence methods and innovative statistical models
Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
Process, cleanse, and verify the integrity of data used for analysis
Develop code for predictive/prescriptive models with applied machine learning and other modeling techniques
Clearly document and present methodology, assumptions, and findings to stakeholders
Working with a wide range of stakeholders and functional teams to improve business outcomes
Deliver in a fast-paced, team-oriented work environment
Adapt quickly to changing needs across several core areas, including data wrangling, data exploration, data analysis, and data visualization
Articulate trade-offs between analytic techniques, recommend a course of action to clients, and provide effective updates on project outcome uncertainty to leadership.
Hands on experience performing analysis to solve problems
Discovering insights hidden in large data sets
Using a variety of advanced analysis methods, data tools, and models
Using/creating algorithms and/or creating/running simulations
Testing the effectiveness of different courses of action

Work Environment:

Location: Onsite or Remote
Travel Requirements: Minimal
Working Hours: Standard

Qualifications:

Required:

Bachelor's degree in Data Science or related field
2+ yrs experience in Data Science or Data analysis
Proficiency in programming languages like Python or R
Experience with AI frameworks like TensorFlow or PyTorch
Familiarity with Retrieval Augmented Generation (RAG) architectures and Large Language Models (LLM)
Developing data pipelines to support Analytics
Applying advanced analytics and machine learning techniques
Documenting and communicating results of analysis
Familiarity with SQL and BI Tools (Tableau, Qlik etc.)
Strong analytical and problem-solving skills
Hands on experience with driving analytic insights and workflow automation.
Must have the ability and motivation to self-teach in order to stay current with leading best practices in analytics.
Candidates must be able to tackle difficult problems, specifically working with artificial intelligence.
Expected to have data wrangling skills.

Desired:

Solid understanding of applied machine learning methods and algorithms
Exploratory Data Analysis and Workflow Improvement
Applied statistics skills, such as distributions, statistical testing, regression, etc.
Data-oriented personality with proficiency in using data query languages such as SQL and ability to understand various data structures and common methods in data transformation
Ability to use data visualization to communicate value of insights
Designing and developing AI agents, implementing agentic workflows
Agentic AI frameworks such as LangGraph and standards such as Model Context Protocol (MCP)
Text mining and Natural Language Processing techniques such as Named Entity Recognition and Text Classification
Graph Analysis tools such as Neo4J and Cypher
Databricks, Azure AI Foundry, Amazon Bedrock, Amazon SageMaker
Process Automation, Image Analysis, Predictive and Prescriptive analysis

Ready to Make a Difference?

If you’re excited about making a significant impact in the field of space defense and working on projects that matter, we encourage you to apply and join our team at KBR. Let's shape the future together.

KBR Benefits

KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development.

Belong, Connect and Grow at KBR

At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver – Together.

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

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Job Description

The IFRS 9 Model Developer will be responsible for developing, validating, and continuously monitoring IFRS 9 models (Expected Credit Loss) to ensure compliance with Broader African regulatory standards and internal risk management requirements. The role includes presenting model outcomes and methodologies to the Technical Committee and other relevant forums, while managing and mentoring junior model developers. It necessitates strong technical expertise in quantitative and credit risk modelling.

Hello, Future Data Scientist III

Welcome to FNB, the home of the #changeables. We design for the shapeshifters and deliver products and services that make us incredibly proud of the people who make it happen.

As part of our talent team, you will be surrounded by unique talents, diverse minds, and an adaptable environment that lives up to the promise of staying curious. Now’s the time to imagine your potential in a team where experts unite and ignite effective change.

Key Responsibilities:

Model Development

Design, develop, and implement IFRS 9-compliant models for Expected Credit Loss (ECL), including Probability of Default (PD), Loss Given Default (LGD), Significant Increase in Credit Risk (SICR), forward-looking models (FLI), and Exposure at Default (EAD).
Ensure models align with broader African countries' regulatory requirements and internal risk policies.
Utilise statistical and econometric techniques to build robust, predictive models.
Incorporate macroeconomic variables and forward-looking information into models.

Model Validation

Conduct rigorous validation of IFRS 9 models to ensure accuracy, reliability, and compliance.
Include actuals vs expected, population stability of the model variables, Gini of the model and the like.
Perform sensitivity analysis, stress testing, and back-testing of models.
Address model deficiencies and implement enhancements as needed.

Model Monitoring

Establish and maintain ongoing monitoring frameworks to assess model performance.
Identify and report model drift, recalibration needs, or performance issues.
Ensure timely updates to models in response to changes in economic conditions or regulatory guidelines.

Stakeholder Engagement

Present model methodologies, validation results, and performance metrics to the Technical Committee and other governance forums.
Engage internal and external auditors on topics related to broader Africa models.
Communicate complex technical concepts to non-technical stakeholders clearly and effectively.
Collaborate with internal teams (e.g., Risk, Finance, Audit) and external stakeholders (e.g., regulators, auditors).

Team Management

Manage, mentor, and develop two junior model developers, providing technical guidance and fostering professional growth.
Set clear objectives, conduct performance reviews, and ensure alignment with departmental goals.
Promote a collaborative and innovative team culture.

Regulatory and Compliance Oversight

Stay updated on IFRS 9, Basel, and other relevant regulatory changes impacting model development.
Ensure all models and processes comply with internal governance and external regulatory standards.
Support audits and regulatory inspections by providing documentation and technical expertise.

You will be an ideal candidate if you have:

Minimum of 3 years of experience in credit risk modelling, with expertise in scoring, IFRS 9 ECL, Basel models, or related quantitative modelling.
Strong knowledge of statistical modelling techniques, including Logistic Regression, Probability of Default (PD), Exposure at Default (EAD), Loss Given Default (LGD), and Survival Analysis.
Proven ability to engage with auditors and explain complex technical concepts clearly and concisely.
Experience with model calibration, validation, monitoring, and stress testing processes.
Proficiency in programming languages/tools such as Python, R, SAS, or SQL is advantageous.
Excellent analytical skills and attention to detail.
Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications:

Advanced degree (e.g., master’s or PhD) in Statistics, Mathematics, Data Science, or a related field.
Prior experience in financial services or banking, particularly in credit risk.
Familiarity with Basel III/IV frameworks and their application to credit risk modelling.

You will have access to:

Opportunities to network and collaborate.
Challenging Working
Opportunities to innovate.

We can be a match if you are:

Curious & courageous - you are driven by always wanting to know more and learn more and you are brave enough to
Obsessed with mastery - you know what it takes to become good at what you do and are constantly pushing yourself to do it.

Are you interested to take the step? We look forward to engaging with you further. Apply now!

#POST

#FNB

#LI-SY1

Job Details

Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.

23/07/25

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Together we fight for everyone’s opportunity for a better financial future.

We will do this together — with customers, partners and colleagues. We will fight for others, not against: We will stand up for and champion everyone’s access to opportunities. The status quo is not good enough … we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future. We know that reaching this future depends on our actions today.

Like our Purpose Statement, Voya believes in being bold and committed to action. We are committed to a work environment where the differences that we are born with — and those we acquire throughout our lives — are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work. Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision.

Are you ready to join a company with a strong purpose and a winning culture? Start your Voyage – Apply Now

Note: The desired location for this role is in CT in a commutable distance from the Windsor CT office. It will be a hybrid role (2-3 days a week in office).

Note: at this time we are not considering candidates who will require sponsorship now or in the future.

About the Role

We’re looking for a versatile Data Scientist to join our growing analytics team. In this role, you'll partner closely with business stakeholders to unlock value from data—whether that’s predicting advisor behavior, identifying growth opportunities, or automating manual workflows. You’ll be hands-on across the entire data science lifecycle: wrangling data, building and deploying machine learning models, and supporting the MLOps and infrastructure needed to scale solutions across the organization.

This is a high-impact role for someone who blends deep technical skill with business curiosity—and who is passionate about deploying ML models and analytics into the real world.

Key Responsibilities

Data wrangling & feature engineering: Ingest, clean, and transform data from SQL, APIs, and data lakes (e.g., Snowflake, Databricks). Design robust pipelines that feed into analytics and ML workflows.
Data understanding & exploration: Work closely with domain experts to deeply understand the meaning, context, quality, and limitations of available datasets. Translate business questions into data requirements and analytics plans.
Machine learning development: Build, tune, and validate predictive models using scikit-learn, SparkML, XGBoost, or TensorFlow.
Cross-functional partnership: Collaborate with marketing, sales, and product teams to scope business use cases, define success metrics, and integrate models into operational workflows.
Model deployment & MLOps: Deploy and manage models using MLflow, docker and CI/CD pipelines. Implement versioning, testing, performance monitoring, and retraining strategies as part of a robust MLOps practice.
Infrastructure support: Work with data engineering and DevOps teams to maintain and improve model training and deployment infrastructure, including compute resources, workflow orchestration and environment configuration.
Insight delivery: Build clear, actionable reporting and visualizations using tools like Power BI or Tableau. Focus on impact, not just analysis.

Minimum Qualifications

Bachelor’s degree in Data Science, Computer Science, Engineering, or a related quantitative field.
5+ years of experience in a data science, ML engineering, or analytics role.
Strong SQL, Python and ML Techniques programming skills.
Experience with Azure Cloud, Databricks, and/or Snowflake.

Experience building and deploying machine learning models in production environments. Hands-on experience with Databricks, including SparkML, and MLflow integration.

Familiarity with MLOps best practices, including version control, model monitoring, and automated testing.
Experience with tools such as Git, MLflow, Docker and workflow schedulers.
Ability to communicate complex technical work to non-technical stakeholders.
Experience with scalable model training environments and distributed computing.

Preferred Qualifications

Master’s degree in a quantitative or technical discipline.
Experience in financial services, fintech, or enterprise B2B analytics.
Knowledge of A/B testing, causal inference, and statistical experimentation.
Familiarity with GenAI, LLM pipelines, and vector-based retrieval is a plus and platform like Snowflake Cortex.

Compensation Pay Disclosure:

Voya is committed to pay that’s fair and equitable, which means comparable pay for comparable roles and responsibilities.

The below annual base salary range reflects the expected hiring range(s) for this position in the location(s) listed. In addition to base salary, Voya offers incentive opportunities (i.e., annual cash incentives, sales incentives, and/or long-term incentives) based on the role to reward the achievement of annual performance objectives. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Voya Financial is willing to pay at the time of this posting.

Actual compensation offered may vary from the posted salary range based upon the candidate’s geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

$97,160 - $152,880 USD

Be Well. Stay Well.

Voya provides the resources that can make a difference in your lives. To us, this means thriving physically, financially, socially and emotionally. Voya benefits are designed to help you do just that. That’s why we offer an array of plans, programs, tools and resources with one goal in mind: To help you and your family be well and stay well.

What We Offer

Health, dental, vision and life insurance plans
401(k) Savings plan – with generous company matching contributions (up to 6%)
Voya Retirement Plan – employer paid cash balance retirement plan (4%)
Tuition reimbursement up to $5,250/year
Paid time off – including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day.
Paid volunteer time — 40 hours per calendar year

Learn more about Voya benefits (download PDF)

Critical Skills

At Voya, we have identified the following critical skills which are key to success in our culture:

Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations.
Critical Thinking: Thoughtful process of analyzing data and problem solving data to reach a well-reasoned solution.
Team Mentality: Partnering effectively to drive our culture and execute on our common goals.
Business Acumen: Appreciation and understanding of the financial services industry in order to make sound business decisions.
Learning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage.

Learn more about Critical Skills

Equal Employment Opportunity

Voya Financial is an equal-opportunity employer. Voya Financial provides equal opportunity to qualified individuals regardless of race, color, sex, national origin, citizenship status, religion, age, disability, veteran status, creed, marital status, sexual orientation, gender identity, genetic information, or any other status protected by state or local law.

Reasonable Accommodations

Voya is committed to the inclusion of all qualified individuals. As part of this commitment, Voya will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please reference resources for applicants with disabilities.

Misuse of Voya's name in fraud schemes

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You could be a data scientist anywhere. Why us?

Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size)
Partner with our VP of Data Science & Analytics, Armando La Rocca (ex-BCG, Better)
Disrupt a massive market and take us to a $10B business in the next few years
Be immersed in a talent-dense environment and greatly accelerate your career growth

About the opportunity:

Here's what an ex-BCG teammate has to say about joining Jerry:

How you will make an impact:

Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies
Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies
Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth
Identify opportunities to automate manual processes and optimize operational efficiency

Preferred experience:

Bachelor’s degree in a quantitatively or intellectually rigorous discipline
1-3 years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis
High level of comfort with SQL or Python

Who you are:

You have a framework for problem solving and live by first principles
You are comfortable communicating with audiences varying from front-line employees to the company’s C-suite
You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence

While we appreciate your interest and application, only applicants under consideration will be contacted.

About Jerry.ai:

Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.

We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started.

Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.

Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.

","hiringOrganization":{"@type":"Organization","name":"Jerry","sameAs":"https://getjerry.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta, Georgia","addressCountry":"Georgia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Data Scientist","datePosted":"2025-07-18","description":"

You could be a data scientist anywhere. Why us?

Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size)
Partner with our VP of Data Science & Analytics, Armando La Rocca (ex-BCG, Better)
Disrupt a massive market and take us to a $10B business in the next few years
Be immersed in a talent-dense environment and greatly accelerate your career growth

About the opportunity:

Here's what an ex-BCG teammate has to say about joining Jerry:

How you will make an impact:

Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies
Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies
Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth
Identify opportunities to automate manual processes and optimize operational efficiency

Preferred experience:

Bachelor’s degree in a quantitatively or intellectually rigorous discipline
1-3 years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis
High level of comfort with SQL or Python

Who you are:

You have a framework for problem solving and live by first principles
You are comfortable communicating with audiences varying from front-line employees to the company’s C-suite
You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence

While we appreciate your interest and application, only applicants under consideration will be contacted.

About Jerry.ai:

Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.

We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started.

Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.

Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.

","hiringOrganization":{"@type":"Organization","name":"Jerry","sameAs":"https://getjerry.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas, Texas","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"Data Scientist","datePosted":"2025-07-18","description":"

You could be a data scientist anywhere. Why us?

Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size)
Partner with our VP of Data Science & Analytics, Armando La Rocca (ex-BCG, Better)
Disrupt a massive market and take us to a $10B business in the next few years
Be immersed in a talent-dense environment and greatly accelerate your career growth

About the opportunity:

Here's what an ex-BCG teammate has to say about joining Jerry:

How you will make an impact:

Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies
Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies
Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth
Identify opportunities to automate manual processes and optimize operational efficiency

Preferred experience:

Bachelor’s degree in a quantitatively or intellectually rigorous discipline
1-3 years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis
High level of comfort with SQL or Python

Who you are:

You have a framework for problem solving and live by first principles
You are comfortable communicating with audiences varying from front-line employees to the company’s C-suite
You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence

While we appreciate your interest and application, only applicants under consideration will be contacted.

About Jerry.ai:

Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.

We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started.

Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.

Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.

","hiringOrganization":{"@type":"Organization","name":"Jerry","sameAs":"https://getjerry.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco Bay Area","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Data Scientist","datePosted":"2025-07-18","description":"

Headquartered in New York City, Take-Two Interactive Software, Inc. is a leading developer, publisher, and marketer of interactive entertainment for consumers around the globe. We develop and publish products principally through Rockstar Games, 2K, and Zynga. Our products are designed for console gaming systems, PC, and mobile, including smartphones and tablets. We deliver our products through physical retail, digital download, online platforms, and cloud streaming services. The Company’s common stock is publicly traded on NASDAQ under the symbol TTWO. For more corporate and product information please visit our website at http://www.take2games.com.

While our offices (physical and virtual) are casual and inviting, we are deeply committed to our core tenets of creativity, innovation and efficiency, and individual and team development opportunities. Our industry and business are continually evolving and fast-paced, providing numerous opportunities to learn and hone your skills. We work hard, but we also like to have fun, and believe that we provide a great place to come to work each day to pursue your passions.

The Challenge:

Join our dedicated team as a Data Scientist where you will play a pivotal role in driving data-driven decisions that craft the future of interactive entertainment. This is an outstanding opportunity to work with world-class data sets and powerful machine learning techniques to make impactful changes. Collaborate with hard-working colleagues and contribute to our proven success in delivering flawless gaming experiences.

What You’ll Take On:

Apply data science, machine learning, and AI to decrease costs and improve decision-making.
Collaborate with business partners to understand needs, formulate objectives, and implement actionable solutions.
Perform statistical analysis and data visualization to explore data and identify patterns.
Develop models to monitor key performance indicators across different segments.
Build optimization models predictive of profit throughout the product life cycle.

What You Bring:

2+ years of experience in DevOps/MLOps and machine learning pipelines.
3+ years of Python coding experience.
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience.
Strong experience with AWS or GCP cloud environments.
Passion for automation and working with large-scale data (e.g., Apache Spark, Snowflake, Databricks).

Great to Have:

Familiarity with Pytorch, Tensorflow, Sklearn, XGBoost.
Knowledge of time series analytics, text-processing, NLP, and analytical techniques applied to language.
Experience with Large Language Models and programmatic uses.
Skills in Pythonic dashboarding or web-application frameworks (e.g., Streamlit, Dash, Flask, Django).

What We Offer You:

Great Company Culture. Ranked as one of the most creative and innovative places to work, creativity, innovation, efficiency, diversity and philanthropy are among the core tenets of our organization and are integral drivers of our continued success.
Growth: As a global entertainment company, we pride ourselves on creating environments where employees are encouraged to be themselves, inquisitive, collaborative and to grow within and around the company.
Work Hard, Play Hard. Our employees bond, blow-off steam, and flex some creative muscles – through corporate boot camp classes, company parties, game release events, monthly socials, and team challenges.
Benefits. Medical (HSA & FSA), dental, vision, 401(k) with company match, employee stock purchase plan, commuter benefits, in-house wellness program, broad learning & development opportunities, a charitable giving platform with company match and more!
Perks. Fitness allowance, employee discount programs, free games & events and stocked pantries.

The pay range for this position in New York City at the start of employment is expected to be between $85,700 and $126,860 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses.

Please be aware that Take-Two does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Take-Two also does not engage in any financial exchanges during the recruitment or onboarding process, and the Company will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scam or phishing exercise. Take-Two’s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a take2games.com email domain). If you need to report an issue or otherwise have questions, please contact Careers@take2games.com

As an equal opportunity employer, Take-Two Interactive Software, Inc. (“Take-Two”) is committed to fostering and celebrating the diverse thoughts, cultures, and backgrounds of its talent, partners, and communities throughout its organization. Consistent with this commitment, Take-Two does not discriminate or retaliate against any employee or job applicant because of their race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, and genetic information (including family medical history), or on the basis of any other trait protected by applicable law. If you need to report a concern or have questions regarding Take-Two’s equal opportunity commitment, please contact Careers@take2games.com

","hiringOrganization":{"@type":"Organization","name":"Take-Two Interactive Software, Inc.","sameAs":"https://www.take2games.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"Data Scientist","datePosted":"2025-07-18","description":"

Company Description

At Jellyfish we believe that our individual differences are our greatest assets. We are passionate about empowering every employee to reach their full potential and contribute their unique perspectives to our collaborative environment. We are an equal opportunity employer and firmly believe that a diverse and inclusive workforce drives innovation and leads to better solutions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other personal characteristics that make them who they are.

Jellyfish is a global digital marketing agency; a unique fusion of tech enthusiasts, creative minds, and media and data experts all united to empower our clients along their digital journey. Our commitment to embracing diverse perspectives fuels our innovation and strategies that challenge the status quo, reinvent media activation, and craft influential stories for our global clients and their customers. Join us in shaping a future where business growth and personal fulfilment go hand in hand.

Job Description

Reporting to our Director of Data Science, Investment Analytics, you will create an impact within our Investment Analytics practice and help with the Paid Media data applications that Jellyfish uses to lead expertise, improve, and transform solutions and services for our clients.

You'll help lead complex data science solutions, guiding multi-capability presentations, and taking ownership of advanced measurement and testing for our clients. Join us in our mission to deliver data-inspired excellence!

Your primary responsibilities will include:

Analyse data to discover hidden trends; deliver insights and analysis with clear applicable recommendations.
Dedicate time to explaining and promoting the use of data science methodologies such as Geo-based Incrementality. Experiments, Media Mix Models, Causal Impact Studies, and other statistically sound testing approaches. Ensure these methodologies enhance campaign performance for existing clients, providing tangible improvements and insights.
Develop, and implement predictive models to improve and improve media performance, customer experiences, revenue generation, and other outcomes.
Work with platform partners to grow the suite of mathematical techniques for Incrementality Testing, Media Mix Modelling and Data Clean Rooms using both open-source and in-house code to create an excellent offering for clients.
Document analytics projects in a manner that ensures specific processes can be replicated and scaled across an organisation.

Qualifications

English and Spanish proficiency (upper-intermediate level at least)
Programming proficiency in Python and SQL.
3+ years of experience in a data role.
Proficiency in visualising data using Tableau, Looker, Matplotlib, or equivalents.
Knowledge of the marketing ecosystem and measurement framework, including paid display, search, social, video, organic, web, and app.
Experience analysing media and web data, such as Amazon Marketing Cloud, Google ADH, Campaign Manager, Meta, and Google Analytics, .
Familiarity with media measurement solutions, such as media mix modelling, incrementality, and attribution models.
You seek and implement solutions to improve and automate processes.
An understanding of machine learning concepts is great—hands-on experience is a bonus.
A collaborative mindset—you value diverse perspectives, work well in teams, and are motivated by shared goals.
Problem-solving skills—when faced with challenges, you work with others to explore options and identify practical solutions.

Note: We emphasise skills, expertise and behavioural attributes over years of experience and traditional degrees. If you want to join our collaborative team, please apply today with your resume in English.

Additional Information

Join Jellyfish and experience a workplace where we prioritise your growth, celebrate your contributions, and empower you to tailor your work environment to suit your needs.

💰 Savings fund: You'll save 5% of your monthly income and Jellyfish will contribute the same amount you save to your savings fund.

💫 Custom Work Environment: Work remotely for up to 60% of your days and shape your day between 8am. and 6:30pm with flexible working hours.

📈 Growth, Your Way: Accumulate one paid day each month (2 hours per week) for self-development and access to Jellyfish Learn with unlimited online courses

🏥 Health Insurance: We provide a private health insurance policy that includes visual and dental plan coverage.

Unfortunately, there has been an increase in fake recruiters impersonating Jellyfish and unlawfully using our brand name. If you are unsure if an email with a job offer you have received is genuinely from Jellyfish, or if you suspect any fraudulent activity, please report it to talentacquisition@jellyfish.com.

#LI-Hybrid

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Title:

Data Scientist

Belong, Connect, Grow, with KBR!

Program Summary

KBR is searching for an experienced Data Science Analyst to study design modeling utilizing data science methodologies to solve Intelligence problems. Leverage intelligence acumen, data and machine learning to produce valuable insights. We are looking for a skilled team player with strong analytical and communication skills.

Position Overview:

We are looking for a detail-oriented, motivated, and organized Data Scientist to work as part of a team to clean, analyze, and produce insightful reporting on government data. Qualified candidates will have familiarity with Structured Observation Management (SOM) and be able to gain insights from both structured and unstructured data. The ideal candidate is adept at using large data sets to find trends for intelligence reporting and will be proficient in process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and producing easily understood visuals to represent findings. Candidate will work closely with Data Managers and stakeholders to tailor their analysis to answer key questions. The candidate must have a strong understanding of Geographic Information Systems (GIS) and statistical analysis.

Responsibilities:

Use statistical research methods to analyze datasets produced through multiple sources of intelligence production.
Mine and analyze data from databases to answer key intelligence questions.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to produce reporting about future trends based on historical data.
Spatially analyze geographic data using GIS tools
Visualize findings in easily understood graphics and aesthetically appealing finished reports

Qualifications for Data Scientist:

Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Strong GIS knowledge, particularly with the Esri tool suite including ArcMap, ArcGIS Pro, and ArcGIS Online.
Experience in basic visualization methods, especially using tools such as Tableau, ggplot, and matplotlib. Further credit will be given to those with experience making interactive reports in R and Python or dashboards in Tableau or other government furnished tools.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

Education/Experience:

Bachelor’s Degree in Statistics, GIS, Mathematics, Computer Science, Engineering or related fields, and 3+ years experience.

Security Requirements:

Active TS/SCI Security Clearance

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About Us:

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services – and our open-access model – we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.

LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific.

Proud to share LSEG in Romania is Great Place to Work certified (Sept ’24 – Sept ’25). Learn more about life and purpose of our company directly from the Romanian colleagues’ video: Bucharest, Romania | Where We Work | LSEG

Key Responsibilities:

Work in a multidisciplinary team to develop data science and AI products and solutions for clients.

Support the existing suite of data science and AI models.

Conduct innovative research and construct the next generation of financial models.

Take responsibility for the Model Development Lifecycle, including coordination with key contributors from other functions.

Contribute to outreach geared toward client satisfaction, converting prospects to customers, and expanding the brand footprint.

Coordinate and collaborate with various partners within the broader researcher team as well as across the organization.

Candidate Profile / Key Skills:

1-3 years' experience in model building/data science;

Equity market expertise is preferred. However, a strong willingness to learn will be considered;

Exposure to data science, AI, machine learning, NLP, LLM is required;

Proficiency in Python;

Cloud experience (Azure, AWS or GCP) is desired;

Client interaction experience is a plus;

Self-reliant, resourceful, innovative and eager to learn;

Advanced degree in Computer Science, Data Science, AI, Mathematics, Engineering or Physics is preferred.

Benefits:

We are looking for intellectually curious people, passionate about the bigger picture of how technology industry is evolving, ready to ask difficult questions and deal with complicated scenarios! If you are creative and a problem solver, this is the place to be as will be supporting you to fast-forward your career!

We maximise each employee’s potential through personal development through a wide range of learning tools both formal and informal. We believe in remunerating our people with competitive salaries and a range of attractive benefits such as:

25 days’ holiday per year
1 additional day off for your Birthday
Annual wellness allowance
Share Purchase Plan
Medical Health Insurance
Medical Subscription (preventive medical services)
Dental Coverage
Life insurance
Pillar 3 Private Pension
Meal Vouchers
Flexible Benefits
Bookster
Volunteering Events
All LSEG colleagues with at least one year’s continuous service, who become parents, are now entitled to at least 26 weeks’ paid leave, and the option to return to work on a phased basis, in relation with specific company’s policy and guidelines

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

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ROLE OVERVIEW

Croud is a global, full-service digital marketing partner. Through a seamless combination of data, technology and creativity, our teams drive business performance and long-term growth for ambitious brands.

Our Global Analytics department was newly assembled and structured in June 2023. In a short time the team has already proven to be a key differentiator; delivering industry-leading, high-value services that create measurable business impact for our clients.

As a team with various different capabilities, Global Analytics services approximately 40 different clients. As a Data Scientist, this role will have the opportunity to work with some our largest clients at varying altitudes; managing the relationship, guiding the vision and roadmap for our clients to evolve the way they analyze and leverage data to deliver outcomes.

In fulfilling the responsibilities outlined below, the role will consult with our clients, and simultaneously with our internal cross departmental teams.

RESPONSIBILITIES

The Data Scientist will complement our team of analysts and engineers bringing increased knowledge and expertise with data science methodologies, working systematically to improve supervised machine learning performance and work directly with clients to ensure high business impact from our data science solutions.

At Croud we run a number of cloud hosted modeling services which apply predictive methods to client data about their customer behavior particularly in relation to marketing, website interactions and online conversions. We primarily use Python and classical ML techniques, although we have also used deep learning networks where appropriate. These methods require custom adaptations in terms of features, optimization methods, and ML algorithm selection, as well as robust training and evaluation.

You will help apply and improve the approaches we have developed, working collaboratively with the team. Additionally, you will enhance the overall data science analysis and modeling process. You will engage with data scientists and analysts at our client organizations, discussing optimal approaches to challenges, demonstrating expertise, and working to improve outcomes for all parties.

This is a great opportunity to work directly alongside world-class experts in a growing data science practice in a leading agency. You will develop your data science expertise and work on a variety of genuinely interesting client projects.

You will be expected to:

Manage data science and ML projects so that technical goals are met within a reasonable agreed timeframe.
Communicate clearly about your work with clients and to help other team members understand what you are doing and why.
Produce explanatory insights for non-technical users through visualizations, metrics and tabulations, in support of communication and collaboration.
Interface with our clients to ensure we get the data inputs we need and they fully understand how to apply our services
Explore and model large data sets using Python, SQL and related tools.
Take a leading role on tasks such as data exploration, model estimation and validation.
Write clean, efficient, robust and well commented code to produce high quality data science procedures.
Engage in depth discussions with both technical and commercial teams about the data science aspects of the projects you are working on.
Work with data engineers to ensure your algorithmic work can be scaled.
Understand, apply and communicate the wider Croud Analytics team’s work and methodologies to both clients and internal stakeholders.

REQUIRED KNOWLEDGE

You are someone who is both confident with data science and data analysis and also with communicating complex ideas and topics. You would prefer to work in a quickly growing company where you are directly engaged with client companies and can learn and develop fast. You are prepared to work hard on stimulating problems.

You have natural mathematical and analytical skills, good judgment, attention to detail and a passion for finding solutions. You have knowledge and training in statistical methods and in supervised machine learning. You have a proven aptitude in working with data, and a desire to further develop your career in data science.

You bring experience working in a professional role or project in applied machine learning. You can explain data science topics in written and verbal form, including to a group if necessary. You bring a positive attitude to your work, have the curiosity to explore new ideas, and respond well to feedback.

Skills required

Master's degree or relevant experience in a field emphasizing quantitative disciplines, with coursework in machine learning (or alternatively, a quantitative advanced degree complemented by extensive training in data science/ML).
Proven experience in applied machine learning through a prior full time role.
Knowledge and experience of using computer programming languages including Python and associated ML libraries.
Strong statistical knowledge.
Ability to communicate the results of data analysis and modeling.
High level of proficiency in English writing and speaking.
Strong client services skills, able to both explain complex concepts to clients and manager expectations on delivery and impact when necessary.
Strong time management and organizational abilities, capable of prioritizing tasks effectively and working autonomously.

Good to have

Experience with putting machine learning models into production in a cloud environment.
Knowledge and experience of marketing effectiveness measurement and marketing optimisation techniques.
Experience in web analytics, marketing analytics and digital marketing.
Experience using other analytical tools and with a range of AI and ML libraries.

COMPANY BENEFITS

Every employee is eligible for the benefits listed on our careers site which include:

Sales Commission
20 days vacation a year + 12 public holidays
Full Paid Medical Insurance (including dental and vision)
Annual performance bonus
401K Plan after 3 Months
Gym Membership contributions
Free fruit, breakfast cereals, snacks, soft drinks and tea & coffee
Free home office chair and screen
Quarterly team offsites / Regular socials
Free Citibike membership
Recruitment referrals bonus
Agile working policy (Hybrid 3x a week in office)

COMPENSATION

Salary Range for this position is $120,000 - $140,000 per year (DOE).

Where an employee or prospective employee is paid within this range will depend on; among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee’s/applicant’s skill set, level of experience, and qualifications.

Standard hours are from 9.00am to 5.30pm, there’s flexibility if agreed in advance with your line managers (it may also be necessary on occasions to work outside of these hours).

Croud is an equal opportunity employer and does not discriminate on the grounds of a person's gender, marital status, race, religion, ethnicity, age, disability or sexual orientation. All candidates will be assessed based on merit, qualifications and their ability to perform the requirements of the role.

","hiringOrganization":{"@type":"Organization","name":"Croud","sameAs":"https://www.croud.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":50,"item":{"@type":"JobPosting","title":"Data Scientist","datePosted":"2025-07-18","description":"

URUS is seeking a Data Scientist passionate about transforming complex data into actionable insights! This hybrid role is based in the Madison, WI area, offering a blend of remote and on-site collaboration. You’ll work closely with cross-functional teams to develop models, create visualizations, and deploy analytical solutions that support key business goals. If you enjoy collaborative problem-solving and driving data-driven decisions, this is the role for you.

As a Data Scientist you will work alongside other Data Scientists, Data Engineers, and Software Developers to develop, drive, and deliver value for a wide range of organizational objectives and stakeholders. Typical activities will include:

Analyzing complex data sets to derive actionable insights and support decision-making processes
Working with engineering and product teams to develop proof of concept features and product improvements
Productionizing analysis and visualization scripts for consumption via APIs, dashboards, and reports

Key Responsibilities:

Data Analysis

Collect, clean, and process data from a variety of internal and external sources for use in downstream activities.
Conduct directed and undirected exploratory analysis to identify trends, patterns, and opportunities.
Work closely with a variety of stakeholders to create reports, visualizations, and dashboards that facilitate their objectives.
Communicate findings and insights to stakeholders in a clear and concise manner, whether written, verbally, or visually.

Model Development

Design, implement, and evaluate machine learning or other statistical models to address specific business challenges.
Develop, validate, and optimize machine learning, analytical, and other computational models for performance and accuracy.
Collaborate with product teams and engineers to refine, package, and deploy computational models into production.
Provide support and improvements for deployed models via new features and bug fixes throughout their lifecycle.

Communication and Education

Stay current with industry trends and advancements in Data Science, providing expertise to the organization when needed.
Continually expand and improve your knowledge and mastery of Data Science tools and methodologies of all kinds.
Develop and present reports, articles, and presentations on Data Science-related topics as required.

Minimum Qualifications:

Must be legally authorized to work in the United States.
Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, or a related field.
Proficiency in programming languages such as Python or R.
Experience with data analysis tools and libraries like SQL, Pandas, Polars, etc.
Familiarity with machine learning libraries like Scikit-learn, TensorFlow, PyTorch, etc.
Strong analytical, problem-solving, and technical communication skills, both written and verbal.

Preferred Qualifications:

Experience developing, deploying, and testing models/scripts via Python microservice APIs (FastAPI, etc.).
Experience with Databricks data warehouse/lakehouse tools, particularly using DBT models, and the
Databricks AI/ML model development and deployment ecosystem.
Experience building dashboards or interactive data presentations for stakeholders (PowerBI, Tableau, Streamlit, etc.).
Developed or worked on custom models not available out-of-the-box in a package or library, ideally in a compiled language (C++, Rust, etc.).

As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry – Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS. Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 operating companies in 17 countries and employs approximately 2,400 people

","hiringOrganization":{"@type":"Organization","name":"URUS Group","sameAs":"https://urus.org/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Madison, WI, United States","addressCountry":"United States","addressRegion":"North America"}}}}]}

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