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Minimum qualifications:

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

Preferred qualifications:

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

8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with an advanced degree.

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.

Google Play offers music, movies, books, apps and games for devices, powered by the cloud. It syncs across devices and on the web. As part of the Android and Mobile team, Googlers working on Google Play do everything from engineering our backend systems, to shaping product strategy, to forming great content partnerships. They make it possible for people to do things like buy an ebook or song on their Android phone, then have it instantly available on their laptop. The Google Play team enhances the Android ecosystem by giving developers and partners a premium store where they can reach millions of users.

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.

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.

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, and advocate 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":"Mountain View, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":2,"item":{"@type":"JobPosting","title":"Senior Data Scientist - Ads Modeling","datePosted":"2025-08-02","description":"

About Faire

Faire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants.

By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

About this role

Faire is using machine learning to change wholesale and help local retailers compete with Amazon and big box stores. Our experienced data scientists and machine learning engineers are developing solutions related to discovery, ads & monetization, ranking, search, recommendations, logistics, underwriting, and more - all with the goal of helping local retail thrive.

The Data Science team owns a wide variety of algorithms and models that power the marketplace. We care about building machine learning models that help our customers thrive.

As a member of the Data Science team you’ll develop machine learning-powered ads ranking models while contributing and adding impact and personalization to our search and discovery system functions. You’ll determine answers to questions like, how relevant is this ad/product to this retailer and how can we infer that in real-time? Can we create real-time embeddings of users' interests and use them to power rankings? How can we improve the ads purchase flow? What techniques can we use to enable our A/B tests to more quickly converge when dealing with low sample sizes?

Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, Netflix and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there!

What you’ll do

You’ll build best-in-class models to solve various problems at the intersection of Ads Modeling domain and Search and Recommendation.
You’ll be able to develop vision and execution plan for the Ads team and actively participate in the long-term roadmap as we monetize the platform.
Collaborate with Data Scientist and ML Engineers across the Data organization to implement tools for ads experimentation.
Develop key metrics for ads performance evaluation; design dashboards to track them.

Qualifications

3.5 years of industry experience in ads/ads modeling domain (ads ranking, auction design, bidding, targeting, etc.) and using machine learning to solve real-world problems
Experience with search/query processing for ads product development
Strong programming skills
An excitement and willingness to learn new tools and techniques
Lead model development without supervision
Strong communication skills and the ability to excel in a closely collaborative team environment

Great to Haves

Highly recommended: Master’s or PhD in Computer Science, Statistics, or related STEM fields
Ability to quickly implement innovative algorithms from an academic paper

Salary Range

Canada: the pay range for this role is $168,000 to $231,000 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Effective January 2025, Faire employees will be expected to go into the office 2 days per week on Tuesdays and Thursdays. Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.

Applications for this position will be accepted for a minimum of 30 days from the posting date.

Why you’ll love working at Faire

We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process.
We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners.
We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy.
We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality.

Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.

Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)

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About Faire

About this role

The Data Science team owns a wide variety of algorithms and models that power the marketplace. We care about building machine learning models that help our customers thrive.

What you’ll do

You’ll build best-in-class models to solve various problems at the intersection of Ads Modeling domain and Search and Recommendation.
You’ll be able to develop vision and execution plan for the Ads team and actively participate in the long-term roadmap as we monetize the platform.
Collaborate with Data Scientist and ML Engineers across the Data organization to implement tools for ads experimentation.
Develop key metrics for ads performance evaluation; design dashboards to track them.

Qualifications

3.5 years of industry experience in ads/ads modeling domain (ads ranking, auction design, bidding, targeting, etc.) and using machine learning to solve real-world problems
Experience with search/query processing for ads product development
Strong programming skills
An excitement and willingness to learn new tools and techniques
Lead model development without supervision
Strong communication skills and the ability to excel in a closely collaborative team environment

Great to Haves

Highly recommended: Master’s or PhD in Computer Science, Statistics, or related STEM fields
Ability to quickly implement innovative algorithms from an academic paper

Salary Range

San Francisco: the pay range for this role is $192,000 to $264,000 per year.

Why you’ll love working at Faire

We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process.
We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners.
We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy.
We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality.

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Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games.

At Discord, we're building something special - a place where hundreds of millions of people connect, play, and belong. Our ads business is entering an exciting growth phase, and we need a Senior Data Scientist who's passionate about building advertising technology that respects our users while delivering real value to brands. We are establishing the groundwork for advanced advertising capabilities that uphold user privacy and simultaneously achieve outstanding results for advertisers - now that’s true win-win-win!

You'll be the data science lead on a nimble cross-functional squad, working alongside Product, Sales, and Engineering to shape the future of ads on Discord. We're looking for Data Scientists to join our GTM team and our Ads Product team. This role reports to the Director of Data Science, Analytics for Ads. If using data to build world-class advertising experiences that enhance rather than interrupt the magic of Discord communities sounds exciting, we'd love to hear from you!

What you'll be doing

Lead data science strategy and execution on our ads product or GTM squad, partnering directly with PM, Sales, and Engineering leadership
Build the analytical foundation for Discord's next-generation ad products using our rich first-party data from 200M+ monthly active users, combined with strategic third-party partnerships
Collaborate with product and sales teams to develop learning agendas, experimentation plans, and solutions that drive product-market-fit and advertiser performance
Lead cross-functional data projects to deepen our understanding of users, communities, and advertiser performance that directly inform better ad products
Build plans to evaluate product or vertical performance, run experimentation, identify improvement opportunities, and share these learnings with cross-functional peers and executives
Apply 80/20 thinking to prioritize the highest-impact initiatives while championing user privacy and data governance standards across the company

What you should have

5+ years of data science experience in ads tech, with preference for gaming, social media, or community platforms
Deep understanding of the ads tech ecosystem, including auction-based delivery systems, real-time bidding, audience data integrations, and data partners.
4+ years of experience building performant dashboards using Looker, or similar software with proficiency in designing intuitive visualizations
4+ years experience writing excellent SQL with proficiency in big data platforms
Experimentation expertise: 3+ years designing, running, and analyzing A/B tests for large-scale consumer products
Visualization and Dashboards: Proven experience building executive-level dashboards and reports using Looker, Tableau, or similar tools
Cross-functional collaboration: Track record of working effectively with cross-functional teams to drive business outcomes and advertiser performance
Strong Communication skills: Ability to translate complex technical concepts into actionable insights for both technical and business stakeholders
Attribution and measurement: Experience with incrementality testing, multi-touch attribution, and campaign effectiveness measurement in privacy-first environments
Experience working with first-party and third-party data, as well as attribution partners
Curiosity and collaboration: You thrive in ambiguous environments and love solving complex problems with amazing teammates

Bonus Points

Discord passion: You're an active Discord user or have deep knowledge of gaming and creator communities
Privacy-first measurement: Background in privacy-preserving technologies and ethical advertising practices
Leadership experience: Background mentoring junior data scientists or leading technical initiatives
Sales partnership: Direct experience translating technical capabilities into compelling sales narratives
Experience with analytics for social media, gaming platforms, or community-driven products, including familiarity with social graphs, community dynamics, and user-lifecycle analysis

The US base salary range for this full-time position is $196,000 to $220,500 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

Why Discord?

Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away!

Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.

","hiringOrganization":{"@type":"Organization","name":"Discord","sameAs":"https://discordapp.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco Bay Area","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":5,"item":{"@type":"JobPosting","title":"Senior Data Scientist, Ads Planning Metrics","datePosted":"2025-08-12","description":"

Minimum qualifications:

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field or equivalent practical experience.
8 years of experience in using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree.
Experience with methods of statistical data analysis (e.g., linear models, hypothesis testing, multi-level models, Bayesian methods, etc.).
Experience with A/B testing or other experimental design methodologies.

Preferred qualifications:

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
Experience in Mathematical programming and modeling and statistics.
Experience with Bayesian Statistics.

About the job

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

Responsibilities

Design and analyze experiments, including randomized controlled trials, to measure and guide the impact of Ads Planning initiatives.
Define key performance indicators and their associated value for advertisers and Google across various Ads Planning initiatives.
Formulate metrics that capture the impact of Ads Planning tools on advertiser spend, reach, Google business growth, and agreement value.
Develop methodologies for conducting impact studies for agencies and third-party tools.
Collaborate with cross-functional teams to ensure the accuracy and feasibility of measurement strategies.

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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":7,"item":{"@type":"JobPosting","title":"Senior Data Scientist, Product","datePosted":"2025-08-09","description":"

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

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.

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":8,"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":9,"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

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About Moloco:

Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising. While the largest technology companies have proven the speed and scale of ad-targeting utilizing data— the same robust performance powered by machine learning has previously been unavailable beyond their platforms.

That's where Moloco steps in. With Moloco's powerful combination of cutting-edge machine learning technologies, we play a unique and visible role in shaping the digital economy, all while allowing companies to stay independent and scale.

An industry leader at the nexus of machine learning, performance marketing, and visionary product infrastructure, Moloco is advancing the advertising technology industry. We ranked in the top 10% of the Inc. 5000 fastest-growing private companies for 2023. Recognized as one of 46 leading Cloud Computing companies, receiving the Stratus Award for 2023. In 2023, we received Google’s Cloud DevOps Dreamers Award, a recognition given to companies that are implementing DevOps practices to drive organizational success and high performance. Lastly, Moloco is a 2024-certified Great Place to Work! Check us out on Glassdoor and be sure to get an inside look at working at Moloco on Instagram, Twitter, and YouTube.

Moloco is headquartered in Silicon Valley, with offices in San Francisco, New York, Los Angeles, Seattle, London, Berlin, Seoul, Singapore, Beijing, Gurgaon, Bangalore, Tel Aviv and Tokyo.

Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging will allow us the greatest opportunity to carry out our mission -- to empower businesses of all sizes to grow through operational machine learning.

Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

The Impact You’ll Be Contributing to Moloco:

The MSM Data Science team tackles the most critical problems in the MSM business through a data-driven approach.
As a senior data scientist, you will drive business growth by identifying opportunities, diagnosing issues, and shaping product direction through analytical thinking and scientific expertise.

The Opportunity:

Data Analysis and Research: Analyze large-scale ad delivery and performance datasets to extract meaningful insights, separate signal from noise, and uncover opportunities to improve campaign effectiveness and targeting within Moloco’s MSM ecosystem.
Scientific Approach to Problem Solving: Use data-driven hypotheses and structured analysis to understand system behavior and improve campaign performance and delivery outcomes.
Experimentation and Causal Inference: developing a robust experiment design and metric framework and providing reliable and unbiased insights for product and business decision-making.

How Do I Know if the Role is Right For Me?

Minimum Requirements:\n
- Bachelor’s degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering).
- 5+ years of work experience in data science-related fields or an advanced degree such as a Master’s or Ph.D. in a quantitative discipline with 3+ years of experience
- Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets, and using statistics to arrive at a recommendation.
- Excellent verbal and written communication skills, with the ability to present information and analyze results effectively.
- Ability to build positive relationships within DSA and with our stakeholders and work effectively with cross-functional partners in a global company.
- Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models.
- Machine Learning: must have a deep understanding of ML algorithms (i.e., deep learning, random forest, gradient boosted trees, k-means clustering, etc.) and their development, validation, and evaluation.
- Programming: experience with Python, R, or other scripting languages, and database language (e.g., SQL) or data manipulation (e.g., Pandas, Dplyr) are required.
\n
Preferred:\n
- Advanced degree such as Master’s or PhD in a quantitative discipline.
- Ability to manage multiple projects at the same time while paying attention to detail and translating analysis results into business recommendations.
- Proven ability to own projects end-to-end, even when you have to get creative: you do more than complete delegated tasks.
- Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.
\n

Moloco Thrive: Benefits and Well-Being:

We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives. For an overview of our global benefits, click here.

Moloco Values

Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.

Additional Resources:

Equal Opportunity:

Moloco is an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression, and gender identity, sexual orientation, marital status, ancestry, physical or mental disability, military and veteran status, or any other characteristic protected by law.

Candidate Privacy Notice:

Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.

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Are you passionate about building intelligent systems that respond to users in real time? Do you thrive in environments where data-driven experimentation and product analytics are core to the product development process?

At Xbox Gaming AI, we are tapping into the power of generative AI to power the next generation of Xbox experiences. We are venturing beyond the horizon and charting a course forward with players and creators at the center. Our goal is to define the future of Xbox by advancing our mission of bringing joy and community to every player on the planet.

We’re looking for a Senior Data Scientist, AI Product Performance with a deep focus on end-to-end AI product analytics who can help us rapidly and iteratively unlock the power of real-time user signals to drive retention, product quality & success. This role will drive instrumentation strategy through deep, causal insights – so our team can ship smarter, faster and build higher value experiences.

This role is for someone who is comfortable working across the full data lifecycle—from designing metrics and pipelines to performing detailed analysis and delivering insights that directly shape product decisions.
You’ll work closely with product, engineering, and design teams to define how people interact with and play games. We’re looking for someone with analytical rigor, high quality technical skills, and a deep understanding of user behavior—paired with a creative mindset and high ownership.

Your charter: turn event streams, A/B tests, logs and user research into the signals that shape roadmap, model iterations and growth loops.

Responsibilities

Establish standardized scorecard evaluation metrics for AI products, covering user engagement, model performance, and product quality, to enable consistent tracking across teams and disciplines
Implement robust data pipelines and evaluation calculations by leveraging tools such as Python, C#, SQL/KQL, Power BI, and LLM prompting techniques; partner with engineering teams to ensure solutions are scalable, reliable, and seamlessly integrated into product workflows for both real-time and offline testing scenarios
Deliver actionable and compelling insights by deep diving into analytics to measure user acquisition, activation, engagement, retention, churn, and overall ecosystem health; identify key patterns and feedback loops to inform product and model improvements, and drive prioritization.
Analyze conversational product interactions—including language content, semantics, and dialogue structure—to uncover user intent and behavior; apply topic clustering, semantic embedding techniques, and build lightweight classifiers to model usage patterns
Effectively present and communicate product data insights through dashboards, written reports, and stakeholder discussions, enabling teams to understand user behavior and product performance through both qualitative and quantitative lenses
Transform ad hoc analyses into scalable, maintainable pipelines and reusable analytics functions; automate data preparation workflows and support ML experimentation by generating high-quality training and evaluation datasets
Develop and apply offline and online evaluation methods—including model regression tests, A/B testing, and real-world usage tracking; train and deploy classifiers or scoring models to evaluate AI output quality (e.g., relevance, helpfulness, coherence) at scale

Qualifications

Required Qualifications (RQs) 

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.

3+ year(s) building or supporting a consumer product and Experience guiding product roadmaps with data.
3+ Proficiency in SQL and Python (or R), with experience using common data science libraries and tools
3+ Experience with real-time data systems and large-scale product data (e.g., Kafka, Azure Data Explorer), ML infrastructure for evaluation and deployment, and building lightweight classifiers or recommendation components (e.g., retrieval, ranking, embeddings, personalization) to support AI product performance

Preferred Qualifications (PQs)

Ability to work in ambiguous problem spaces and design analytical frameworks from the ground up
Experience supporting or building evaluation systems for language models, recommendation engines, or personalization systems
Experience with analytics in digital consumer products, particularly AI/LLM-driven features, including experiment design and casual inference analysis

Data Science IC4 - The typical base pay range for this role across Canada is CAD $114,400 - CAD $203,900 per year.

Find additional pay information here:

https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Microsoft will accept applications for the role until August 19, 2025

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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Company Overview

At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. Our critical communications, video security and command center technologies support public safety agencies and enterprises alike, enabling the coordination that’s critical for safer communities, safer schools, safer hospitals and safer businesses. Connect with a career that matters, and help us build a safer future.

Department Overview

The Design & Tools (D&T) team is a strategic component of Centralized Managed Support Operations (CMSO), responsible for providing exceptional Service Design & innovative technology solutions to enable and empower MSI Centralized Managed Support Operations to meet and exceed customer's expectations. In this role, you will fit in the AI & Architecture team within D&T.

Job Description

We are looking for a Senior Data Scientist who will also serve as a subject matter expert in the AI and ML domain, and build analytical and statistical machine learning models that will drive business decisions. In this role You will understand user requirements and translate them into AI solutions that turbocharge internal and external user experiences. Many of these AI solutions will be enabled within the core technologies used within CMSO, including Salesforce and ServiceNow. In other instances, you will also be responsible for building custom predictive and prescriptive ML models for preventative system health checks, system log analytics, automated root cause analysis etc.

Responsibilities include:

Drive requirements for AI related projects, work with internal customers and with ServiceNow and Salesforce Product Managers for features planning, prioritization and implementation
Understand and apply various statistical methods for data analysis, EDA, hypothesis testing, and drawing meaningful conclusions.
Apply GenAI, ML and DL concepts, NLP, computer vision, sentiment analysis, topic modeling and graph theory in real world applications to solve business problems
Develop application-specific interfaces that leverage GenAI capabilities and LLMs to enhance the associate and customer experience.
Design APIs for performance, real-time applications, scale, ease of use and governance automation.
Leverage Python, PyTorch, NLTK etc. libraries and frameworks such as Langchain to build AI solutions.
Training ML models to effectively communicate complex data insights through clear and informative visualizations
Serves as thought leader in data science and applies deep expertise to drive novel customer experiences
Adaptive and the desire to learn new technologies.

Technical Experience

Extensive knowledge of AI supervised, unsupervised and reinforcement methods, GenAI LLM and Python libraries to perform data analysis, building advanced machine learning models and data integrations with source systems and systems of record
Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, or spaCy
Very good knowledge and experience with Databases like Postgres, Redshift, MSSQL
Knowledge and experience in Cloud Environments (Azure, AWS, GCP)
Experience to read data from multiple sources and cleanse, enhance and analyze the data.
Ability to integrate data, sourcing data from several Sources including databases, files, API and Server logs.

Preferred Qualifications

Minimum of 4+ years experience in data analytics, data mining, machine learning, and has employed predictive, prescriptive, conversational or generative AI to solve business problems
Minimum of 4+ years experience in hands-on design, coding, development and deployment using data science tools such as Python, Tensorflow etc. to build AI solutions
Minimum 2+ years experience leading teams to deliver solutions and results
Deep knowledge of ML streams, e.g., natural language processing, computer vision, statistical learning theory and their application in real world situations
Knowledge of ServiceNow and Salesforce products and features
Experience working with one of the leading public clouds (AWS, Google, Azure)
Excellent written and oral communication skills. Be able to work under pressure
Ability to Multitask, Prioritize and Manage time effectively.
Strong interpersonal skills and ability to work effectively across teams, functional groups

Basic Requirements

Bachelor's degree in Data Science, Computer Science, or an IT related field
Minimum of 4+ years experience in a Data Science related role

Travel Requirements

None

Relocation Provided

None

Position Type

Experienced

Referral Payment Plan

EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.

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About NCR Atleos

NCR Atleos, headquartered in Atlanta, is a leader in expanding financial access. Our dedicated 20,000 employees optimize the branch, improve operational efficiency and maximize self-service availability for financial institutions and retailers across the globe. NCR Atleos was ranked #12 in Newsweek’s prestigious 2025 Top 100 Global Most Loved Workplaces® list.

Position: Senior Data Scientist

Location: Belgrade, Hybrid

Responsibilities

We are on the lookout for a Senior Data Scientist who is passionate about data and problem-solving. The ideal candidate is someone who is eager to learn, can work collaboratively with various teams, and is committed to staying updated with the latest developments in data science and machine learning. We value individuals who are proactive, detail-oriented, and ready to contribute their expertise to our diverse analytical projects. If you are someone who thrives in a challenging environment and is looking for a role where you can make a significant impact, we would love to hear from you.

Key Expectations

Formulate and manage data-driven projects to advance the business’s interests
Work closely with senior leadership to drive strategic decisions based on data insights
Guide and support less experienced team members
Assess the effectiveness of predictive models
Explore new techniques and contribute to data science advancements
Take charge of end-to-end data science initiatives
Communicate impactful insights to senior management

Minimum Qualifications

Bachelor’s degree in a technical discipline with 10+ years of experience or advanced degree with commensurate level of work experience
Mastery of several programming languages and deep understanding of machine learning principles
Extensive experience with big data technologies and cloud platforms
Expertise in designing, developing, and implementing machine learning solutions
Deep understanding of neural networks and deep learning techniques
Experience with reinforcement learning and evolutionary algorithms
Proficiency in advanced statistical analysis and mathematical modeling
Experience with GPU programming for machine learning

Preferred Qualifications

Effective communication skills to articulate technical information
Problem-solving skills to tackle data-related challenges
Ability to work well in a team environment
Time management skills to handle multiple tasks and deadlines
Attention to detail to ensure accuracy in data analysis and modeling
Adaptability to learn new data analysis tools and techniques

Work Conditions

Must work in office 3 days per week

Offers of employment are conditional upon passage of screening criteria applicable to the job.

Company Benefits:

Private Health Insurance
Employee Referral Bonus Program
Wellbeing Resources
Baby Bonus
Life, Accident & Disability Insurance
Numerous opportunities for internal career pathing and advancement
Discounts for employees at NCR Atleos partners

EEO Statement
NCR Atleos is an equal-opportunity employer. It is NCR Atleos policy to hire, train, promote, and pay associates based on their job-related qualifications, ability, and performance, without regard to race, color, creed, religion, national origin, citizenship status, sex, sexual orientation, gender identity/expression, pregnancy, marital status, age, mental or physical disability, genetic information, medical condition, military or veteran status, or any other factor protected by law.

Statement to Third Party Agencies

To ALL recruitment agencies: NCR Atleos only accepts resumes from agencies on the NCR Atleos preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Atleos employees, or any NCR Atleos facility. NCR Atleos is not responsible for any fees or charges associated with unsolicited resumes.

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Role: Senior Data scientist

Location: Bengaluru

What you’ll do

We’re MiQ, a global programmatic media partner for marketers and agencies. Our people are at the heart of everything we do, so you will be too. No matter the role or the location, we’re all united in the vision to lead the programmatic industry and make it better.

As a Senior Data scientist in our data science department, you’ll have the chance to:

Be accountable for end-to-end project delivery. Able to independently own and pitch/execute new analytics capabilities. Have a continuous communication with Solutions Engineering, Sales Engineering on accounts, deliverable timelines and progress of tasks.
Seek opportunities for understanding client’s challenges and actively pitching custom or existing data science capabilities having business impact
Ability to provide recommendations and actionable outcomes from the outputs generated and create a narrative to be shared with the market. Should be able to visualize the outputs easily understood by stakeholders and stitch a story linking to other media aspects being presented
Drive growth of generalised capabilities over MiQ’s or open-source data sources. Able to identify, infer and evaluate capabilities to enhance current solutions or create new ones
Scale strategic accounts by improving over existing solutions or able to build over existing capabilities
Drive new initiatives for operational excellence within the team within data science, coding, product and tech
Working with local leads to align to respective regional strategies. Identify opportunities and provide updates on teams capabilities and support on account where needed
Able to generalize capabilities and workflows increasing team’s efficiency
Initiatives to research and come up with new ideas to experiment and leading up to new capabilities creating business impact
Research new developments across data science and educate team members by trying new POCs
Should be able to mentor and guide new hires or interns
Active participation in recruitment, designing and managing assignments and interviews
Committed to delivers the best towards organization's goals and values
Provide constructive feedback to counterparts and work on received feedback
Drive brainstorming sessions/ Hackathons/sharing best cases within the team or externally

Who are your stakeholders?

Account managers, traders, sales and analysts: you’ll build solutions that are used primarily by internal customers through our proprietary platforms like Lab and Hub. Usually, the requirements and any feedback will go through our project management team.
Product management: you’ll build solutions as part of the product roadmaps, and these will be used by advertisers and agencies. Any feedback will come through our client-facing product management team.

What you’ll bring

Experienced coder in Python/R
Strong understanding of ML algos and applications
Experienced in SQL and good hands on Excel
Experience working in cloud environments preferably AWS. Ability to write and productionize data pipelines and ML models in a cloud based environment
Experience with working at scale using (Pyspark/Rspark)
Strong hands on experience of applying ML techniques to business problems. Should have a good understanding of statistics.
Good measurement mind frame for measuring impact of ML models
4+ years of experience in applying machine learning, statistical pattern recognition, and data mining algorithms to prediction problems
Maintaining code versions and experience working in an agile mode
A can-do attitude, with a dream to grow alongside us.

We’ve highlighted some key skills, experience and requirements for this role. But please don’t worry if you don’t meet every single one. Our talent team strives to find the best people. They might see something in your background that’s a fit for this role, or another opportunity at MiQ.

If you have a passion for the role, please still apply.

What impact will you create?

Everything you do will help us lead the programmatic industry and make it better. Your passion for cutting-edge techniques and technologies means you’ll build incredible solutions that are able to scale. Plus, you’ll get involved in innovation and research, representing MiQ through thought leadership and at industry events. All your work and efforts will help our teams find valuable insights, optimize campaigns, and measure success.

What’s in it for you?

MiQ is incredibly proud to foster a welcoming culture. We do everything possible to make sure everyone feels valued for what they bring. With global teams committed to diversity, equity, and inclusion, we’re always moving towards becoming an even better place to work.

Values

Our values are so much more than statements. They unite MiQers in every corner of the world. They shape the way we work and the decisions we make. And they inspire us to stay true to ourselves and to aim for better. Our values are there to be embraced by everyone, so that we naturally live and breathe them. Just like inclusivity, our values flow through everything we do - no matter how big or small.

We do what we love - Passion
We figure it out - Determination
We anticipate the unexpected - Agility
We always unite - Unite
We dare to be unconventional - Courage

Benefits

Every region and office have specific perks and benefits, but every person joining MiQ can expect:

A hybrid work environment
New hire orientation with job specific onboarding and training
Internal and global mobility opportunities
Competitive healthcare benefits
Bonus and performance incentives
Generous annual PTO paid parental leave, with two additional paid days to acknowledge holidays, cultural events, or inclusion initiatives.
Employee resource groups designed to connect people across all MiQ regions, drive action, and support our communities.

Apply today!

Equal Opportunity Employer

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Job Description:

Job Title: Senior Data Scientist

The Purpose of this Role

Are you interested in joining a fast paced and cutting-edge organization where you can make an immediate impact on the business?  Do you want to be an AI/ML advocate, using data to answer important questions and shape strategy for leadership?  You can be a part of the Artificial Intelligence Center of Excellence (AI CoE) within Fidelity Workplace Investing (WI) that constantly pushes the potential of data to drive the business forward! At Fidelity Workplace Investing Artificial Intelligence Center of Excellence (WI AI COE), you won’t be just tinkering around the edges, you’ll be building critical solutions that will benefit our clients and internal stakeholders for years to come.

The Value you Deliver

The WI AI COE is seeking a Senior Data Scientist with experience in AI/ML, Natural Language Processing (NLP), Search, virtual assistants/chatbots, large language models (LLMs), Agents/ Agentic flows, deep learning related technologies, predictive and prescriptive analytics.

The Expertise and Skills You Bring

Bachelor’s/ Master’s Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields
8+ years of prior relevant work experience as a data scientist
Hands on experience in most of the following: AI/ML Projects, Developing Supervised and Unsupervised Machine Learning Algorithms, Deep Learning Models & Techniques, NLP, LLMs, RAG, Reinforcement Learning, Knowledge Graphs
Experience in working with finetuning Large Language Models (LLMs), Prompt Engineering, RAG Applications, Vector Databases, Transformer Architectures is a desirable.
Experience in Multivariate Statistics, Experimentation Setup (hypothesis testing, measurements) is also an added advantage.
Proficiency in the entire Predictive Modelling life cycle – From exploratory data analysis, data cleaning, Feature Engineering to Model Building and Validation, Operationalization and Scalability and establishing decision strategies.
Programming skills in Python, SQL, and hands on experience on using cloud technology platforms like AWS, Azure or GCP.
Exposure to AI-centric tools like PyTorch, Langchain, Langgraphis required.
Comfort with Git source control and repo-driven development.
Ability to partner closely with a diverse set of business stakeholders to identify needs and deliver AI/ML solutions.
Demonstrated expertise in synthesizing and presenting research and technical findings to diverse audiences, with a strong ability to quickly acquire new knowledge and a passion for continuous learning.
Implement new technologies in a production environment with product, IT, and data engineering teams.

How your Work Impacts the Organization

The Team

The Fidelity Workplace Investing AI COE is a team of data scientists developing advanced analytics and artificial intelligence solutions to support a variety of different applications for a host of clients, both internal and external, across WI. The team occupies a unique position, able to understand the business problems that both our clients and internal partners face, while applying advanced analytics, machine learning, and visualization to solve problems and provide results-oriented solutions to market. Our team of high caliber scientists, mathematicians and statisticians use rigorous quantitative approaches to ensure that we are efficiently building algorithms and technology relevant to the business or customer experience issue at hand.

The Purpose of this Role

The Value you Deliver

The Expertise and Skills You Bring

Bachelor’s/ Master’s Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields
8+ years of prior relevant work experience as a data scientist
Hands on experience in most of the following: AI/ML Projects, Developing Supervised and Unsupervised Machine Learning Algorithms, Deep Learning Models & Techniques, NLP, LLMs, RAG, Reinforcement Learning, Knowledge Graphs
Experience in working with finetuning Large Language Models (LLMs), Prompt Engineering, RAG Applications, Vector Databases, Transformer Architectures is a desirable.
Experience in Multivariate Statistics, Experimentation Setup (hypothesis testing, measurements) is also an added advantage.
Proficiency in the entire Predictive Modelling life cycle – From exploratory data analysis, data cleaning, Feature Engineering to Model Building and Validation, Operationalization and Scalability and establishing decision strategies.
Programming skills in Python, SQL, and hands on experience on using cloud technology platforms like AWS, Azure or GCP.
Exposure to AI-centric tools like PyTorch, Langchain, Langgraphis required.
Comfort with Git source control and repo-driven development.
Ability to partner closely with a diverse set of business stakeholders to identify needs and deliver AI/ML solutions.
Demonstrated expertise in synthesizing and presenting research and technical findings to diverse audiences, with a strong ability to quickly acquire new knowledge and a passion for continuous learning.
Implement new technologies in a production environment with product, IT, and data engineering teams.

How your Work Impacts the Organization

The Team

Certifications:

Category:

Data Analytics and Insights","hiringOrganization":{"@type":"Organization","name":"Fidelity Investments","sameAs":"https://www.fidelity.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Off Embassy Golf Links Business Park, Bangalore India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":16,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-07-21","description":"

Job Description

Purpose of the role

To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.

Accountabilities

Identification, collection, extraction of data from various sources, including internal and external sources.
Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.
Development and maintenance of efficient data pipelines for automated data acquisition and processing.
Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.
Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.

Assistant Vice President Expectations

To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
Take ownership for managing risk and strengthening controls in relation to the work done.
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join us as a Data Scientist at Barclays, where you'll be responsible for transforming complex data into actionable insights that drive strategic growth and innovation. You'll harness AI and advanced machine learning techniques to transform raw data into strategic insights that drive business decisions and competitive advantage.

To be successful as a Data Scientist, you should have experience with:

Statistical analysis and modelling - Proficiency in applying statistical methods / modelling to data
Programming in Python - Ability to code in python and contribute to codebases
Data Manipulation - Experience querying large datasets (SQL / Pyspark)

Some other highly valued skills may include:

Machine learning / AI expertise - Advanced knowledge of ML / AI algorithms and their applications
Financial domain knowledge - Understanding of banking products, risk frameworks, and regulations
Data visualization - Ability to create compelling visual representations of complex data insights

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

This role can be based in either London, Glasgow, Manchester or Northampton.

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Job Description

About the job

Help our clients-internal and external-understand and use RMS services better by understanding their requirements, queries, and helping address the same through knowledge of data science and RMS.

Responsibilities

Building knowledge of Nielsen suite of products and demonstrating the same
Understanding client concerns
Able to put forth ways and means of solving client concerns with supervision
Automation and development of solutions for existing processes
Taking initiative to understand concerns/problems in the RMS product and participating in product improvement initiatives

About the job
Help our clients-internal and external-understand and use RMS services better by understanding their requirements, queries, and helping address the same through knowledge of data science and RMS.

Responsibilities
Building knowledge of Nielsen suite of products and demonstrating the same
Understanding client concerns
Able to put forth ways and means of solving client concerns with supervision
Automation and development of solutions for existing processes
Taking initiative to understand concerns/problems in the RMS product and participating in product improvement initiatives

Qualifications

Professionals with degrees in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets
2-3 years of experience in market research or relevant field

Mindset and Approach to work:

Embraces change, innovation and iterative processes in order to continuously improve the products value to clients.
Continuously collaborate & support to improve the product.
Active interest in arriving at collaboration and consensus in communication plans, deliverables and deadlines
Plans and completes assignments independently within an established framework, breaking down complex tasks, making reasonable decisions. Work is reviewed for overall technical soundness.
Participates in data experiments and PoCs, setting measurable goals, timelines and reproducible outcomes. Applies critical thinking and takes initiative.
Continuously reviews the latest industry innovations and effectively applies them to their work
Consistently challenges and analyzes data to ensure accuracy.

Functional Skills:

Ability to manipulate, analyze and interpret large data sources
Experienced in high-level programming languages (f.e. Python, R, SQL, Scala), as well as with data visualization tools (e.g. Power BI, Spotfire, Tableau, MicroStrategy)
Able to work in virtual environment. Familiar with git/Bitbucket processes
People with at least some experience in RMS, NIQ, will have an advantage
Can use a logical reasoning process to break down and work through increasingly challenging situations or problems to arrive at positive outcomes.
Identify and use data from various sources to influence decisions
Interpret effectively the data in relation to business objectives

Soft Skills

Ability to engage/communicate with team and extended team members
Can adapt to change and new ideas or ways of working.

Exhibits emotional intelligence when partnering with internal and external stakeholders

Additional Information

Our Benefits

Flexible working environment
Volunteer time off
LinkedIn Learning
Employee-Assistance-Program (EAP)

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

Want to keep up with our latest updates?

Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

","hiringOrganization":{"@type":"Organization","name":"NielsenIQ","sameAs":"https://nielseniq.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mumbai, MH, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":18,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-07-21","description":"

We Put the World on Vacation

Travel + Leisure Co. is the world’s leading vacation ownership and travel membership company, with a dynamic and growing portfolio of resort, travel club, and lifestyle travel brands. Our dedicated associates help the company achieve its mission to put the world on vacation. Innovation and growth keep our work interesting and fun. Every day is a chance to learn something new and turn vacation inspiration into exceptional experiences for millions of travelers worldwide.

The role of the Senior Data Scientist is to identify and capitalize on opportunities to improve business performance through development of algorithms and decision support systems that provide recommendations for business decisions. Some of the areas of focus include Sales/Marketing, Revenue Management, Inventory Management and Operations. The Senior Data Scientist develops solutions that must integrate with applications developed within the broader Enterprise Data Analytics team. Successful integration often requires collaboration with various partners and stakeholders in the business including Sales/Marketing, Revenue Management and IT.

How You'll Shine:

Development of new models and associated reporting – the Senior Data Scientist will use programming languages and data science techniques including machine learning, technical forecasting and optimization to develop descriptive, predictive and prescriptive algorithms and decision support systems. They will follow a process that includes business requirement development and data analysis, solution design and development, and solution testing and implementation. The Senior Data Scientist will require some supervision but generally work on relatively complex parts of projects.
Maintenance of existing models, reports, processes and environments – the Senior Data Scientist will use programming languages and data science techniques to handle standard operational maintenance of models and associated reports, as well as troubleshooting, fixing issues and user support.
Consultation with clients and management – the Senior Data Scientist will work with clients to discuss business needs and potential solutions, gather requirements for solutions, and provide advice around solution implementation and usage.
Business Analysis – the Senior Data Scientist will utilize programming languages and data science techniques to develop business analyses, data extracts, forecasts, information graphics and reporting to answer questions and drive actions for the business.
Other duties as required– the Senior Data Scientist will spend time learning new technologies, conducting job-related training and performing administrative duties.

Travel Requirements:

Very occasional travel (approx. 1x / year) may be required

What You'll Bring:

M.S. or Ph.D. in Data Science/Statistics or related fields
Strong analytical and problem-solving skills as related to data science
Basic to strong understanding of multiple business knowledge domains and the ability to apply technical knowledge to them
Ability to take direction from Manager and more senior analysts
Ability to assist and mentor more junior analysts as required
Strong programming skills including data extraction and preparation
Detail orientation and organizational skill for model production and statistical analyses
Good communication skills for day-to-day operations with team/clients and business partners
Strong R and/or Python skills, including general understanding of common analytics-oriented packages/libraries
Strong experience with SQL and experience working with databases
Training and substantial experience in predictive modelling/machine learning (logistic regression, decision trees, random forests, time series analysis and forecasting, clustering techniques, etc.) and/or mathematical optimization techniques including linear programming, integer programming, MIP, etc.
Familiarity with AWS/SPARK or other advanced analytics environment is preferred
Five (5) years’ experience with data science/predictive modeling, system development and testing

Experience equivalent to the education requirement may be accepted in lieu of the education requirement

How You'll Be Rewarded:

We offer a diverse range of comprehensive health and welfare benefits to associates who work 30 or more hours per week to meet your needs and support you throughout your career with us. Travel + Leisure Co. benefits include:

Note: Temporary and/or seasonal associates are ineligible for Paid Time Off.

Medical
Dental
Vision
Flexible spending accounts
Life and accident coverage
Disability
Depending on position, paid time off, parental leave and holidays (speak to your recruiter for additional information)
Wish day paid time to volunteer at an approved organization of your choice
401k with employer match (subject to eligibility requirements, including tenure - speak to your recruiter for additional information)
Legal and identify theft plan
Voluntary income protection benefits
Wellness program (subject to provider availability)
Employee Assistance Program

Where Memories Start with You

Hospitality is at the heart of all we do at Travel + Leisure Co. Here, you’ll find an inclusive environment where we deliver excellence and take time to have fun, celebrate together, and support one another. We're always looking ahead to what’s next and how we can strengthen our business, its neighboring communities, and the customer experience. Join our global team and build a career where memories start with you.

We are an equal opportunity employer, and all applications will be considered for employment without attention to their membership in any protected class. If you require any reasonable accommodation to complete your application or any part of the recruiting process, please email your request to MyCareer@travelandleisure.com, including the title and location of the position for which you are applying.

","hiringOrganization":{"@type":"Organization","name":"Travel + Leisure Co.","sameAs":"https://www.travelandleisureco.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Florida, USA (work from home), United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":19,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-07-21","description":"

A new transformational adventure awaits you… 

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How does 5 weeks of annual leave, a fulfilling career you'll genuinely enjoy, and working for a reputable organization that promotes wellbeing and drives digital transformation sound to you?

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As one of Forbes 2024 ‘World’s Best Employers’ and Fortune’s ‘World’s Most Admired Companies’ for 2025, Zurich - a leader in the insurance industry, is on a journey towards a brighter future… A brighter future for you - focused on your career, your wellbeing, and your community - as well as our customers and the planet.

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Join us on this thrilling journey as we work towards our vision of becoming Australia's leading digital insurer. If you're eager to be part of a values-driven global organisation that's experiencing real growth and transformation, and if you share our commitment to making a tangible difference and taking continuous steps towards a sustainable future for our people, customers, communities, and our planet, then keep reading!

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Let’s create a brighter future together, let’s make a difference  

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It’s important to know, what you do matters. At Zurich, we don’t just cover, we care.

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As a Senior Data Scientist within Zurich Life’s Data & Analytics team, you will play a pivotal role in shaping the future of AI-driven innovation across the business. Embedded in the AI Platforms team, you’ll be responsible for designing and delivering scalable, intelligent solutions that enhance operational efficiency and customer outcomes. This role offers the opportunity to work at the forefront of data science, applying advanced techniques in machine learning, NLP, and cloud-native technologies to solve complex business challenges.

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You’ll collaborate closely with cross-functional teams and stakeholders to develop and deploy AI capabilities that integrate seamlessly into Zurich’s core data platforms. Your work will contribute directly to the strategic direction of our data and analytics initiatives, helping to build a resilient, insight-driven organisation.

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You will also be responsible for the following:

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Build and optimize scalable Generative AI and machine learning solutions to automate workflows and deliver business value.
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Collaborate with cross-functional teams—including architects, engineers, and business stakeholders—to translate business requirements into practical, data-driven solutions.
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Apply advanced language modeling, NLP, and data extraction techniques to analyze unstructured data and generate actionable insights.
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Ensure all developed solutions meet high standards of scalability, reusability, and performance, proactively seeking opportunities for improvement and innovation.
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Uphold ethical data practices and ensure strict adherence to data privacy and governance requirements.
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Important to your success – let’s grow together

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We’re looking for a strategic thought leader who can also be hands on when needed, with strong background in enterprise architecture and insurance transformation.

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In order to be successful, you will have the following:

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8–10 years of experience in data science, AI, or related fields, ideally within financial services or insurance.
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Strong proficiency in Python, with hands-on experience in model development, data manipulation, and API creation.
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Proven expertise in AWS tools including Sagemaker, Textract, Comprehend, and Lambda.
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Solid background in NLP and machine learning, with experience in language modeling and predictive analytics.
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Proven expertise in building GenAI solutions, especially Agentic AI solutions.

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Familiarity with Snowflake and cloud-based data warehousing is advantageous.
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Belong. Zurich is here to support you 

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There are so many reasons why Zurich is a great place to be and the right choice for you, but here are just a few.

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Enjoy 5 weeks of annual leave for permanent staff through our Z leave initiative, along with 15 days of personal/carer’s leave as we empower our people to manage their own wellbeing. Plus, access to Family Care (parental leave).
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Benefit from a hybrid working arrangement – 3 days in the office and 2 days working from home per week for full-time employees.
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Access programs to stay healthy and feel healthier, receive an AUD$500 wellbeing payment per year, and a AUD$295 new starter e-voucher for your work-from-home setup (flex work - hybrid working), along with other great benefits through our Shine portal.
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Grow and thrive in your career with our award-winning training programs. We support and encourage your development because our strength lies in our people, and we value your individuality.
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Work with global, diverse, and inclusive teams; explore your passions, fuel innovation, drive equity, collaborate, and make a positive difference beyond your role.
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Take advantage of global mobility opportunities across more than 200 countries worldwide.
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Volunteer and work in our state-of-the-art Green Star rated offices (when you are in the office) and dress for your day.
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We plant a tree for every new employee.
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Not to mention our various employer of choice awards/memberships – WGEA; Family Inclusive Workplace; Gold AWEI Employer, Pride in Diversity… to name a few.
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We could go on, but the main point is that Zurich is a great place to be, where you can truly belong, be yourself, maintain work/life balance, and thrive in a supportive environment.

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Zurich is an equal opportunity employer.  We are committed to ensuring that our recruitment process is fair and accessible for all candidates. If you require any special accommodations to participate in our recruitment process, we encourage you to please let us know at the time of your application.  

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So, if you want to come on an adventure that will build a brighter future together, and feel a sense of togetherness, then please apply today to start your adventure!

","hiringOrganization":{"@type":"Organization","name":"Zurich Insurance","sameAs":"https://www.zurich.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"North Sydney, AU","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":20,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-07-20","description":"About OkendoWe believe happy customers make the best marketers.That’s why we built Okendo – the customer marketing platform that creates stronger connections between consumers and the brands they love.Using Okendo, Shopify brands can grow faster and more efficiently by cultivating brand advocacy and maximizing lifetime value.Our unified platform and unique suite of products for Reviews, Referrals, Quizzes, Loyalty, and Surveys is trusted by 16,000+ Shopify brands to turn one time shoppers into revenue-driving Superfans.
Position SummaryAs a Senior Data Scientist, you’ll play a pivotal role in shaping how we use data to drive growth, improve product performance, and deliver intelligent features to our users. You’ll collaborate with cross-functional teams to design models, uncover insights, and scale analytics across the business. This is a high-impact role for someone who thrives in fast-paced environments, loves solving complex problems, and wants to make a tangible difference in a growing product-led company.
How you'll create impact:- Partner with product, engineering, and go-to-market teams to identify high-impact opportunities to leverage data.- Build predictive models, customer segmentation, and recommendation systems to enhance product experiences- Drive experimentation and A/B testing across the platform and marketing channels- Develop scalable analytics frameworks and self-service tools to democratize data across the organization- Perform exploratory data analysis to inform product strategy and feature development- Support data-driven decision-making through dashboards, reporting, and ad-hoc analyses- Contribute to the development of our data platform and ML infrastructure in collaboration with data engineering
What we need from you:- 8+ years of experience in data science, with a strong background in statistical analysis, experimentation, and machine learning- Proficient in Python and SQL, with hands-on experience using tools like Pandas, scikit-learn, dbt, or similar- Comfortable working with large datasets and cloud-based data warehouses (e.g., BigQuery, Snowflake, Redshift)- Strong understanding of experimentation design (A/B testing, uplift modeling, etc.)- Experience working cross-functionally with product, engineering, and business stakeholders- Strong business acumen and ability to translate data into actionable insights- Excellent communication skills—you can explain complex ideas clearly and concisely- Experience in SaaS, e-commerce, or martech
Workplace Benefits:- Work remotely in the AU- 12 weeks of Paid Family Leave at 100%- Exposure to the most influential eCommerce brands globally- Office stipend setup- Opportunities for training + development- Data backed and competitive compensation strategy- 4 weeks of annual leave- 11 paid public holidays- Sick & carer’s leave- Compassionate & bereavement leave
What We Value:One TeamWe are one team committed to the same mission. We trust, respect, and value each other. We recognize the unique skills, experiences, and perspectives each of us has to offer. We continually look for ways to support and enable our teammates.Champion the customerOur customers are the heart of our business and the pursuit of their success is our north star, At every step, we prioritize their interests in our thinking and actions.Strive for ExcellenceWe commit to excellence as our standard. We set and achieve ambitious goals. We maintain a bias for action, tackle the hard problems, and continually work to improve.Extreme OwnershipWe own the outcomes. We take the necessary action to get things done. We don’t blame others or find excuses. We proactively look for solutions and solve problems.Integrity AlwaysWe are always honest, trustworthy, and professional. We treat others fairly and with respect. We are transparent and forthright. We take our commitments seriously and deliver what we promise.Always Day OneIt’s always Day 1 at Okendo. If we’re not growing, we’re dying. We prioritize agility over bureaucracy. Velocity over perfection. Outcomes over process. We move fast, learn, iterate, and adapt.
Follow Us:Instagram Linkedin Twitter Facebook","hiringOrganization":{"@type":"Organization","name":"Okendo","sameAs":"https://okendo.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-07-16","description":"

We are looking for a Data Scientist to design and develop Machine Learning (ML) models in different domains to find patterns from wide-variety types and large amounts of datasets. You will use mainly Deep Learning techniques (and other ML techniques) to solve different problems in Recommendation Engines, Chatbots, Natural Language Processing (NLP) and other domains. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions.

Responsibilities

Analyze raw data: assessing quality, cleansing, preprocessing, structuring for downstream processing.
Conduct research and development activities, data exploration and discovery using Data Science and Machine Learning (ML) practices.
Develop, apply, test and implement Data Science and ML models for a wide variety of datasets gathered from different data sources such as Online market places, e-commerce platforms, social media, and web sources.
Design and develop accurate and scalable ML models in different domains and applications, which include, but not limited to, Recommendation engines, Chatbots, NLP, text mining, text-based feature selection/representation, optimization and predictive modeling.
Utilize a variety of tools and approaches to solve complex business objectives, from Recommendation Engines, Chatbots, Natural Language Processing (NLP), Machine Learning/ Deep Learning, Image Processing, Speech Processing, Rule-Based Learning and Knowledge Graphs.
Design new service offerings and solutions in E-Commerce and different fields.
Keep up to date with latest trends and technologies in the data science and ML fields.
Work closely with Data Engineers in data related requests, and Data Quality Assurance Officers in data integrity issues.
Work closely with Business Analysts and product development teams to understand and implement their requirements.
Collaborate with big data and software developers to translate ideas, models and prototypes into full-fledged solutions.
Work closely with cross-functional teams to identify challenges and problems and suggest potential AI solutions.

Requirements

Bachelor's degree in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.); graduate degree in Data Science or other quantitative field is preferred.
At least 4 - 5 years' of experience as a data scientist (quantitative analytics and data modeling).
Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms.
Experience in ML applications and domains (Recommendation Engines, NLP, Language Models and Chatbots experience is preferred).
Strong knowledge and hands-on experience with large language models (LLMs), including model selection, fine-tuning, deployment, and prompt engineering for real-world applications.
Experience in Deep Learning algorithms and techniques.
Proficiency in Python (other languages such as Shell Scripts, C++, .Net, Java, Matlab, R,...etc are preferred).-
Experience in Python libraries (Tensorflow, Keras, Pandas, Sklearn).
Excellent in Algorithms and Object-Oriented programming.
Familiarity with database technology (design and implementation) and query language.
Familiarity with Big Data frameworks and visualization tools (ElasticSearch, Cassandra, Hadoop, Spark) is preferred.
Strong organizational and project management skills.
Good problem-solving skills.
Excellent communication and presentation skills

Benefits

Medical Health Insurance
Performance Bonus
Others

","hiringOrganization":{"@type":"Organization","name":"Salla","sameAs":"https://salla.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Jeddah, Makkah Province, Saudi Arabia","addressCountry":"Saudi Arabia","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-07-16","description":"

At PitchBook, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. 

Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence.

If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. 

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! 

PitchBook’s Data Science and Machine Learning team has a clear mission: leverage cutting-edge machine learning and cloud technologies to automatically research private markets and improve the navigability of our platform. The Senior Data Scientist is responsible for using machine learning, deep learning, GenAI and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for our users. This role requires a strong desire to learn and deliver value through scalable machine learning/AI systems. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team.

Primary Job Responsibilities:

Leverage a sound understanding of data to improve decision-making, and deliver insights through various data analysis techniques, including advanced skills in acquiring, processing, and wrangling data from multiple sources using tools and techniques like ETL, APIs, and data visualization.

Apply various modeling techniques, while fusing data sources using pre-processing methods like transformation and normalization including employing data cleaning techniques for both structured and unstructured data, conducting exploratory data analysis, and extracting insights to inform business decisions through iterative exploration and hypothesis testing.

Source additional information and solutions through research and relevant libraries, including assisting in applying best practice model fit testing, tuning, and validation techniques to assess model performance, considering data attributes like dataset size and partitioning.

Develop and optimize machine learning & deep learning models such as regression, classifiers, ensemble techniques (bagging, boosting, stacking etc.), transformers based Open Source LLMs and Chat GPT including prompt engineering for NLP tasks such as Summarization, Sentiment Analysis, Information Extraction and collaborate with cross-functional teams to integrate solutions into products, besides staying updated with AI/ML advancements especially in GenAI.

Proficiency in advanced statistical analysis and methods like regression analysis, time series analysis, and hypothesis testing.

Creatively solve problems and develop effective solutions, along with an understanding of business goals and industry trends to align data projects with strategic objectives.

Strong verbal and written communication skills to convey complex data insights to stakeholders, combined with efficient project management to ensure timely and within-budget completion.

Familiarity and practical skills with various data science and analytics tools, programming skills in languages like Python, and the ability to interpret moderately complex scripts.

Skills and Qualifications:

Bachelor's/Master's degree in Computer Science, Machine Learning, Statistics, or related fields

4+ years of experience building predictive models (Classical ML models, Neural Network based Deep Learning models, Transformer based GenAi models etc.) using Python in a production environment

4+ years of demonstrated experience with natural language processing (NLP)

4+ years of demonstrated experience with Python

Demonstrate experience using complex SQL queries for data extraction and transformation

Strong communication and data presentation skills

Strong problem-solving ability

Ability to communicate complex analysis in a clear, precise, and actionable manner

Experience working closely with software development team(s) is a plus

Experience building scalable systems in production is a plus

Knowledge of financial services, investment, banking, venture capital, or private equity is desired but not required

Working Conditions

This employee will work in a standard office setting. Some flexibility with work-from-home is a possibility. Employees in this position use a computer on an ongoing basis throughout the day.

Morningstar is an equal opportunity employer.

Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We’ve found that we’re at our best when we’re purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues.

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Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Senior Data Scientist

Job Title - Senior Data Scientist – Data & Analytics

Our Purpose
We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Who is Mastercard?
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Our Team
As consumer preference for digital payments continues to grow, ensuring a seamless and secure consumer experience is top of mind. Optimization Solutions team focuses on tracking of digital performance across all products and regions, understanding the factors influencing performance and the broader industry landscape. This includes delivering data-driven insights and business recommendations, engaging directly with key external stakeholders on implementing optimization solutions (new and existing), and partnering across the organization to drive alignment and ensure action is taken.
• Are you excited about Data Assets and the value they bring to an organization?
• Are you an evangelist for data-driven decision-making?
• Are you motivated to be part of a team that builds large-scale Analytical Capabilities supporting end users across 6 continents?
• Do you want to be the go-to resource for data science & analytics in the company?

The Role
You will be part of AI Centre of Excellence, in Core Products Mastercard working hands on ML and AI projects.
The candidate, will be the technical lead on solving and identifying Merchant Localization across various global markets. In this role, you will be required to build new ML models to catch merchant localization and scale existing models for recurring inference.
You will be required to work closely in collaboration with multiple internal business groups across Mastercard. You are also responsible for creating design documents, including data models, data flow diagrams, and system architecture diagrams.

All about You
•\tMajors in Computer Science, Data Science, Analytics, Mathematics, Statistics, or a related engineering field or equivalent work experience
•\t6+ Years of experience in using Python and SQL with knowledge of distributed data systems like Data Warehouses
•\t4+ Years of experience on building, deploying and maintaining ML models
•\tDemonstrated success interacting with stakeholders to understand technical needs and ensuring analyses and solutions meet their needs effectively.
•\tAble to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor.
•\tAbility to easily move between business, analytical, and technical teams and articulate solution requirements for each group.
•\tExperience with Enterprise Business Intelligence Platform/Data platform i.e. Tableau, PowerBI, Streamlit will be a plus.
•\tExperience with cloud-based (SaaS) solutions, ETL processes or API integrations will be a plus.
•\tExperience on Cloud Data Platforms Azure/AWS/Databricks will be a plus.

Additional Competencies
• Excellent English, quantitative, technical, and communication (oral/written) skills
• Analytical/Problem Solving
• Strong attention to detail and quality
• Creativity/Innovation
• Self-motivated, operates with a sense of urgency
• Project Management/Risk Mitigation
• Able to prioritize and perform multiple tasks simultaneously

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

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Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization. Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives through the use of cutting-edge data science. Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization. Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Intermediate professional within field; requires moderate skill set and proficiency in discipline.

Design, develop, and evaluate moderately complex predictive models and advanced algorithms
Identifies meaningful insights from large data and metadata sources
Test hypotheses/models, analyze, and interpret results
Exercise sound judgment and discretion within defined procedures and practices
Develop and code moderately complex software programs, algorithms, and automated processes
Use modeling and trend analysis to analyze data and provide insights
Develop understanding of best practices and ethical AI
Transform data into charts, tables, or format that aids effective decision making
Build working relationships with team members and subject matter experts
Lead small projects and initiatives
Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders

3-5 years of experience in exploratory data analysis
Basic understanding of business and operating environment
Statistics
Programming, data modeling, simulation, and advanced mathematics
SQL, R, Python, Data Bricks, Hadoop, SAS, SPSS, Scala, AWS
Model lifecycle execution
Technical writing
Data storytelling and technical presentation skills
Research Skills
Interpersonal Skills
Working knowledge of procedures, instructions, and validation techniques
Model Development
Communication
Critical Thinking
Collaborate and Build Relationships
Initiative with sound judgement
Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
Sound Judgment
Problem Solving (Responds as problems and issues are identified)
Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields

Desired Qualification(s)

Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering

Hours: Monday - Friday, 8:00AM - 4:30PM

Location: 820 Follin Lane, Vienna, VA 22180

Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.

Our approach to careers is simple yet powerful: Make our mission your passion.

Best Companies for Latinos to Work for 2024
Computerworld® Best Places to Work in IT
Forbes® 2025 America’s Best Large Employers
Forbes® 2024 America's Best Employers for New Grads
Forbes® 2024 America's Best Employers for Tech Workers
Fortune Best Workplaces for Millennials™ 2024
Fortune Best Workplaces for Women ™ 2024
Fortune 100 Best Companies to Work For® 2025
Military Times 2024 Best for Vets Employers
Newsweek Most Loved Workplaces
2024 PEOPLE® Companies That Care
RippleMatch Recruiting Choice Award
Yello and WayUp Top 100 Internship Programs

From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.

Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team’s discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position.

Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

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About the team

As part of the New Construction Data Science team, you will be an integral partner to the New Construction Product & Business Teams. Through organizing, analyzing, and visualizing large datasets, you’ll have the unique opportunity to empower both short and long-term decision-making for a better customer experience.

Our team’s structure is very flat and you will soon find yourself working directly with Senior Leadership. You’ll also be part of the broader Data Science, Engineering, and Analytics team to learn from your peers and collaborate on various interesting projects.

About the role

As a Senior Data Scientist, you will analyze how customers interact with new construction listings, how builders and customers interact with each other, and how builders work with Zillow. You will provide thought leadership in optimizing customer/builder experience and Zillow revenue.

In this role, you will:

Analyze, interpret, and visualize large, complex datasets to identify trends, patterns, and insights that support Zillow’s New Construction business.
Effectively communicate complex analytical findings to diverse stakeholders, translating technical concepts into actionable insights and recommendations, and getting stakeholders buy-in.
Collaborate with product and business stakeholders to define key metrics, goals, and objectives, and develop data-driven strategies to track and achieve them.
Utilize causal inference techniques and novel experimental designs to evaluate the launches of pilot programs.
Understanding revenue attributes using various modeling techniques.
Effectively manage prioritization and planning with key stakeholders.
Mentor and coach junior team members on executing analytic requests and help unblocking through code reviews & best practice sharing.
Collaborate with data engineering teams to design and optimize data pipelines and workflows to support efficient data collection, storage, and processing.

This role has been categorized as a teleworker position. Teleworkers do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any part of Mexico, but preferably in Mexico City, as we would encourage attendance for occasional in-office events.

In addition to a competitive base salary and benefits, this position is also eligible for equity awards based on factors such as experience, performance and location.

Who you are

You are ready to bring your data and analytics expertise to transform what it means to dream, search, and find a home. You seek to understand the many needs of our customers and advocate for them at every turn. You have an appreciation of the unique challenges posed by a multi-platform experience. Additionally, you are:
Creative and enthusiastic about seeking new solutions to problems and opportunities.
Have an undergraduate or Master’s degree in a quantitative field (e.g. mathematics, engineering, statistics, finance, or similar).
4+ years of work experience involving quantitative data analysis, experimentation and sophisticated problem-solving, preferably in a consumer-facing product.
A strong understanding of statistical concepts, measurement issues, and inference techniques.
Experience articulating and translating business questions and using statistical techniques to arrive at answers.
Proficiency in SQL, Python/R, along with some experience with visualization tools and working with terabyte sized clickstream data.
Experience with ETL pipelines, scheduling and productionalizing. (Airflow, Spark, or similar experience is a plus)
Ability to think creatively and provide thoughtful, agile insights
Superb verbal and written communication skills with the ability to distill sophisticated issues and detailed analysis into simple, structured frameworks with concrete action plans
Able to work across silos and influence business partners to set realistic goals and focus on data-driven solutions

Here at Zillow, we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply if you have transferable skills or related experiences.

Get to know us

Zillow is reimagining real estate to make it easier to unlock life’s next chapter.

As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting — and no matter what job you're in, you will play a critical role in making this vision a reality.

Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, and a fundamental commitment to Equity and Belonging. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees’ Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME 100 Most Influential Companies list.

Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, and gender identity. If you have a disability or special need that requires accommodation, please contact your recruiter directly.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.

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It's fun to work in a company where people truly BELIEVE in what they're doing!

‎

Job Description

Our data science team is responsible for solving complex problems and optimizing various aspects of Traveloka’s business. You will get a wide range of exciting opportunities to bring impact by helping to make decisions at scale across our various business lines, and get to work with the brightest minds in the industry. Join us in revolutionizing the travel industry through data!

Key Responsibilities:

Collaborate with multiple marketing domains to understand their challenges and goals in optimizing marketing spend to get maximum return
Translate business problem to data science problem or ML problem
Develop, implement, and maintain data-driven solutions and systems
Oversee and manage multiple data science projects, ensuring they meet objectives and are delivered on time

‎

Requirements

Bachelor’s degree in Computer Science, Data Science, Statistics, or related fields. Master's degree or higher preferred
5 or more years of experience in data science or related roles
Excellent understanding of business operations and the ability to translate business requirements into technical specifications.
Experience/familiarity with some of the following:
- Experimentation
- Marketing Measurement
Strong expertise in Python and experience with ML/Stats libraries (scikit-learn, LightGBM, CatBoost, etc) and OR libraries (OR-Tools, etc).
Proficient in data manipulation and analysis using SQL.
Experience with cloud-based tech stack and containerization. GCP will be preferred.
Proven experience in managing data projects from inception to completion.
Exceptional interpersonal and communication skills, including the ability to describe complex technical concepts to non-technical stakeholders.
Proactive, self-motivated, and able to work independently.
Experience in implementing MMM, MTA, Propensity Models, CLV etc are plus
Candidates with knowledge on digital marketing channels like SEM and GHA will be given higher preference

‎

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Collecting, processing, and cleaning data from multiple sources for analysis.
Developing, validating, and implementing predictive models and machine learning algorithms.
Developing scalable, financial forecasting models, delivered to multiple end users.
Performing statistical analysis to understand and visualize data trends.
Designing and developing generative AI algorithms and agentic solutions.
Creating data-driven solutions to address business needs.
Collaborating with cross-functional teams to implement models and monitor outcomes.
Presenting information using data visualization techniques.
Proposing solutions and strategies to business challenges.
Collaborating with engineering and product development teams.
Have built models deployed and used in production environments.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Basic Qualifications
\n• 8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.
\n
\nPreferred Qualifications
\n• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. A Master's degree or Ph.D. is preferred.
\n• Proficiency in Python, TensorFlow, and PyTorch for developing AI models.
\n• Experience with containers and docker files is preferred.
\n• Experience with database languages (SQL or NoSQL).
\n• Real world experience in creating financial forecasting models for external customers.
\n• Deep understanding of statistical and predictive modelling concepts.
\n• Advanced knowledge of generative AI.
\n• Knowledge of data management and visualization techniques.
\n• Experience with Hadoop, Hive and Spark.
\n• Strong problem-solving skills with an emphasis on product development.
\n• Excellent written and verbal communication skills.
\n• Ability to work in a team-oriented, collaborative environment.

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

","hiringOrganization":{"@type":"Organization","name":"Visa","sameAs":"https://visa.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Auckland, NEW ZEALAND, New Zealand","addressCountry":"New Zealand","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":28,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-07-15","description":"

Hey there! Thanks for stopping by. We’re Airtasker, the tech company that connects people who need to get things done with those who have the skills to do it.

Our mission is to empower people to realise the full value of their skills. This doesn’t just apply to those who use our product. It’s also for our whooooooole team of go-getters who bring the product to life and deliver impact to our community on a daily basis. Because we believe work (and life) is always better when you truly know and appreciate your strengths and skills.

We're on the hunt for a Senior Data Scientist to significantly shape our data-driven future at Airtasker. You'll work closely with our Staff Data Scientist and directly with our product and marketing teams , identifying, developing, and implementing innovative data science solutions that directly enhance the user experience. Over the next year, expect to dive into exciting projects, including optimising our search algorithms using ElasticSearch and building advanced classification models to categorise tasks.

What you'll do:

Lead ML/NLP model development - from identifying opportunities to deploying real-time models that align with product and business goals.
Turn data into impact - transform complex structured and unstructured data into actionable insights that enhance product features and user engagement.
Collaborate cross-functionally - work closely with product managers, marketers, and engineers to integrate and optimise ML models across the product ecosystem.
Communicate clearly and confidently - present complex insights to technical and non-technical stakeholders, making research outcomes understandable and actionable.
Scale data science operations - improve workflows and automation tools, and help the team scale through reusable frameworks and libraries.
Champion best practices - set the bar for coding standards, automation, and ML productisation using modern cloud platforms (AWS preferred).
Mentor and uplift others - support junior data scientists and analysts, encouraging growth and knowledge-sharing within the team.

What it takes to be successful in this role:

Strong applied data science experience, especially in product-focused roles, with a deep understanding of the digital product lifecycle.
Proficiency in developing search and recommendation algorithms, with a strong grasp of user intent and behaviour.
Solid knowledge of statistical methods, experimentation design, and interpreting test results to guide product decisions.
Hands-on experience deploying ML/NLP models at scale in real-world environments, with a focus on performance and robustness.
Proficiency in Python and data science libraries (e.g. TensorFlow, PyTorch, Scikit-learn, NLTK), plus experience with tools like Pandas, Polars, and SQL.
Familiarity with ElasticSearch and search optimisation techniques, including ranking and relevance tuning.
Experience with CI/CD, MLOps, and infrastructure-as-code tools (e.g. Terraform, CloudFormation).
Comfort working with cloud platforms (AWS preferred) and monitoring tools like Datadog for end-to-end model and system observability.
Ability to write clean, well-tested, and scalable code with strong documentation and code quality practices.
Excellent communication skills with the ability to collaborate across engineering, product, and data teams to drive strategic outcomes.

Our People Experience:

Our people team at Airtasker are dedicated to designing an industry leading people experience. This means creating an environment where you are empowered to do your best work and realise the full potential of your skills.

Thriving

Hybrid working - when it comes to working, there’s no “one size fits all” approach, with Airtasker you choose the environment that helps you do your best work.
Airtime - welcome to no Slack and meeting-free Fridays! Airtime is designed so we regularly have dedicated focus time for work and personal growth.
Recharge days - each quarter we have a company-wide Recharge Day, equivalent to 4 additional days of leave per year. It’s a day for everyone when the world can wait and self-care takes centre stage.
Wellbeing support - our Employee Assistance Program provides confidential access for our people to GPs, dieticians, counselling and mental health specialists, providing essential support whenever needed.
Airpowerment Fund - we provide a $200 allowance to spend on anything that supports your health & wellbeing.

Rewarding

Airtasker credits - it’s a great feeling to get things done. Even greater when you get $800 worth of credits every year to help you check off your to-do list and connect with our community of Taskers.
Fair and equitable pay - this is a core commitment to our people. Every year we review industry data to ensure our compensation framework supports everyone to be recognised for the full value of their skills.
Tenure leave - To celebrate our people’s commitment to Airtasker, we offer tenure leave starting from your 3rd anniversary with the company. This begins with 3 extra days of leave per year, gradually increasing to a maximum of 5 days per year.

Belonging

DAREtasker - join our Diversity, Equity and Inclusion committee! Every month we meet to create meaningful and impactful programs of work that embrace belonging at Airtasker.
Celebration swap - not everyone celebrates the same things. That’s why, at Airtasker, you can swap national, state or territory public holidays for the ones that matter to you.

Growing

Learning and development - learning at Airtasker is on the job, guided by managers, enhanced by peers and led by ourselves. We deliver learning programs and budget allowances to invest in your growth.
360 performance reviews - feedback is a gift. Every year we run 360 reviews across the business to recognise achievements and promote personal growth.
Volunteer leave - Our team members can take a day each year to lend a helping hand and support a cause they are passionate about.

Celebrating

Awards - and the winners are… our go-getters! Whether it’s our peer-nominated quarterly Values Awards or our periodic Go-Getter Spirit Award, we love celebrating our people and spreading good energy.
Vibe committee - good vibes only! Our Vibe Committee delivers events that hit the sweet spot of bringing us all together to enjoy each other’s company whether you’re local or remote.
Birthday leave - All of our people get an extra day of leave during their birthday week to take time away from work to celebrate.

At Airtasker we believe in culture add - that each person is different and has their own background, learnings and unique experiences that can add to the Airtasker cultural tapestry. We pride ourselves on our inclusive culture, and encourage applications from people of all backgrounds.

To all recruitment agencies and talent suppliers: Airtasker does not accept unsolicited resumes. Airtasker is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to our job postings or directly to our managers. If you are on our supplier list and have terms in place, ensure you work alongside our internal TA team and do not send resumes directly to managers.

#LI-TR1 #LI-Hybrid

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Company Description

Entain India is the engineering and delivery powerhouse for Entain, one of the world’s leading global sports and gaming groups. Established in Hyderabad in 2001, we’ve grown from a small tech hub into a dynamic force, delivering cutting-edge software solutions and support services that power billions of transactions for millions of users worldwide.

Our focus on quality at scale drives us to create innovative technology that supports Entain’s mission to lead the change in global sports and gaming sector. At Entain India, we make the impossible possible, together.

Job Description

As our Senior Data Scientist you will be building high quality (normally deployed to a production environment) systems that align with our strategic goals, and are fully integrated with our products and processes. You will work with stakeholders around the globe to scope our solutions, help them understand, test and adopt our solutions.

You will operate both as an individual contributor as well as a part of a larger delivery team, with a need to task manage more junior DS as needed. You will have a broad technical background to help shape and deliver cutting edge machine learning solutions across a wide functional landscape including CRM, Responsible Gambling, churn modelling, customer lifetime value, cross sell, player protection, as well as clustering and forecasting.

Are you ready to launch a winning career?

What you will do

Build models and machine-learning algorithms, taking the opportunity from ideation through to deployment in our live production environment
Analyse large amounts of information to discover trends and patterns, presenting the results in a commercial impactful manner
Extract and interpret the business insights and provide recommendations based on those insights
Apply mathematical rigor and a highly refined sense of both \"where to look next\" and \"what todo instead\" when performing your analysis
Undertake pre-processing of structured and unstructured data for your analytics
Conduct research and development activities, data exploration and discovery, develop prototypes, algorithms and proof of concepts, leveraging leading data science and technology solutions – bring in the best of the wider community to the team.
Communicate data collection and statistical methodologies and their results, to both technical and non technical audiences

Qualifications

The candidate should have minium 5+ years of experience
Proficient in the application of data science concepts to commercial problems
Strong data science, predictive modelling, Machine Learning and AI understanding and experience
Exposure to SQL, Python, Spark, GitHub, Airflow, docker technology, and Kubernetes
Experience in working with vast amounts of data to detect trends and patterns
Proficient in translating business needs into technical data science requirements
Analytics mind-set skill with the ability to turn a business question / problem into an analytics plan, deciding on what data to use, how to transform it, what methods / models to apply, how to turn the outcome into usable, actionable output
Strong understanding of A/B testing techniques

Additional Information

We know that signing top players requires a great starting package, and plenty of support to inspire peak performance. Join us, and a competitive salary is just the beginning. Working for us you can expect to receive great benefits like:

Safe home pickup and home drop (Hyderabad Office Only)
Group Mediclaim policy
Group Critical Illness policy
Communication & Relocation allowance
Annual Health check

And outside of this, you’ll have the chance to turn recognition from leaders and colleagues into amazing prizes. Join a winning team of talented people and be a part of an inclusive and supporting community where everyone is celebrated for being themselves.

At Entain India, we do what’s right. It’s one of our core values and that’s why we're taking the lead when it comes to creating a diverse, equitable and inclusive future - for our people, and the wider global sports betting and gaming sector. However you identify, across any protected characteristic, our ambition is to ensure our people across the globe feel valued, respected and their individuality celebrated.

We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate, ensuring ethical and compliant hiring practices globally.

Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.

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\n\n\n\n\n\n Location\n \n\n London, Reading\n \n\n\n\n Job Family\n \n\n Digital & Technology\n \n\n\n\n Job Type\n \n\n Full Time\n \n\n\n\n Posted Date\n \n\n 06-May-2025\n \n\n\n\n Ref #\n \n\n 66720\n \n\n\n\n\n\n\n\n\n

We have an amazing opportunity for a Senior Data Scientist to join our amazing team here at Virgin Media O2.

You'll play a major part in designing and implementing predictive models along with conducting detailed data exploration to improve business value & growth through the application of data science techniques. These predictive models created will feed critical business infrastructure, offering a fantastic platform to hone your machine learning skills with direct impact on business objectives. You will work as part of a high-performing data science and insight team with ownership of models and the modelling process in the wider modelling eco-system.

To be successful in this role, you'll be experienced in running and leading a team, but also hands-on and passionate about building the latest machine learning predictive models. You will also want to drive the end of goal of each project to ensure the application of each model is efficient for current business objectives. You'll also have strong skills in data manipulation which will enable you to navigate and leverage our significant data assets to build the optimal production models.

\n\n\n\n\n Who we are\n \n\n

The UK’s fastest broadband network. The nation’s best-loved mobile brand. And, one of the UK's biggest companies too.

Diverse, high performing teams - jam packed with serious talent. Together, we offer the UK more choice and better value, through our boundary-pushing, customer-championing values and ambitions.

Together, we are Virgin Media O2, and we can't wait to see what you can do.

Accessible, inclusive and equitable for all

Virgin Media O2 is an equal opportunities employer and we're working hard to remove bias and barriers for our people and candidates. So, we build equity and inclusion into everything we do, from the policies we craft to the relationships we shape. We support and encourage you to be your authentic self throughout your application journey with us.

\n\n\n\n\n The must haves\n \n\n

In order to be considered, you must have the following experience;

Extensive demonstrable experience in applying knowledge in statistics and machine learning to real world commercial problems
Experience bringing live services using machine learning and python to production.
Expert knowledge of Python and relevant libraries (numpy, pandas, matplotlib, Scikit-learn, tensorflow, etc…) knowledge in other programming languages is valuable, but this is primarily a Python shop.
Experience with things like CI/CD pipelines, Docker or similar, cloud hosting, good software engineering practices – we have an ML Ops team you'll need to be familiar with why these things are good and how to use/do them
Experience working in an agile software development environment
Strong maths or computer science background gained through MSc/PhD education in scientific field / computer science
Ability to translate consumer business problems into data science use cases and requirements

\n\n\n\n\n The other stuff we are looking for\n \n\n

We'd also love you to bring;

Good interpersonal skills offering ability to explain complex techniques to non-technical audience
Focus on implementation and business impact of modelling through commercial acuity
Proactive and creative while considering approaches to use data to solve problems.
Advanced data preparation and munging skills with ability to transform data into suitable formats and outputs.
Ability to visualise and communicate findings in an understandable manner to non-technical users

\n\n\n\n\n What's in it for you\n \n\n

Our goal is to celebrate our people, their lives and everything in-between. We aim to create a culture that empowers everyone to bring the best versions of themselves to work each and every day. We believe the most inclusive and diverse culture makes for a better business and a brighter world.

Working at Virgin Media O2, you get a bumper reward package bursting with benefits, and loads of extras you can add if you’d like to. These are designed to support both you and your loved ones, making sure that you’re covered no matter what life throws your way.

\n\n\n\n\n Next steps\n \n\n

If we feel like a place where you can belong, we'd love to learn more about you as a person and your experience to date. Once you've submitted an application the next steps of the process, if successful, are likely to include an initial call with the hiring manager followed by a 3 part technical interview.

When you apply, you'll be asked about any adjustments you might need to support the recruitment process. Let us know, and we'll be sure to discuss it with you. Thanks for your patience in the meantime and for showing an interest in joining the Virgin Media O2 family.

\n\n\n\n\n #LI-POST","hiringOrganization":{"@type":"Organization","name":"Virgin Media O2","sameAs":"https://www.virginmediao2.co.uk/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, Reading","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":31,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-07-02","description":"

The Opportunity

As an ambitious and talented Senior Data Scientist joining our growing team, you will have previous experience of deploying machine learning solutions to solve complex business problems, ideally within a SAAS product focused environment. You will be adept working through the full development pipeline from exploratory analysis to deployment, and comfortable working in a start-up like environment, where agility and resourcefulness are essential. You will have the opportunity to work in a culture that values autonomy and encourages novel and creative solutions to problems - not just the same old model development process.

You are a team player working within the data science team and in collaboration with the product and engineering teams to develop innovative analytical solutions. You’ll ship a product that delivers the best value for our customers in line with a clear company strategy with data science innovation as a core pillar of the product. You will be focused on external and internal facing Data Science projects - product facing features to provide insight, value & automation for our customers and models that make our internal processes more efficient and robust.

You will work in classical machine learning tasks (classification, regression) as well as innovative Generative Ai applications.

What You Will Be Doing

Own the full model development process from initial exploratory analysis and proof of concept through to deployment in production
Develop classification, regression and clustering models as appropriate to solve business problems
Apply generative models to generate text, reports and insights as part of exciting new product features
Analyse natural language text to uncover insights and transform data
Develop proof of concepts to business problems including research of novel machine learning techniques and libraries to solve business problems
Deploy models in our cloud infrastructure and design and implement MlOps pipelines
Deploy models to production in the Brightflag app, working with engineering and product teams

Skills & Experience

To be successful in the role, you need:

5+ Years developing and deploying machine learning models and solutions, ideally in a software product focused environment
Strong programming skills in Python
Strong skills in NLP, foundational representations like TFIDF matrices and topic modelling as well familiarity with Word2vec, Transformers etc... Experience working with text embeddings for data extraction, classification etc..
Some familiarity with generative ai text based applications and frameworks, in particular applying generative ai models to product application development. Knowledge of frameworks such as langchain or llamaindex may be useful but not essential. Similarly familiarity with patterns like RAG would be beneficial but not essential
Application of classification techniques to multiclass and multi label classification.
Familiarity with base Python stack such as Numpy,SciPy, Sklearn and experience developing Neural Network models in Keras/Tensorflow/PyTorch.
Application of regression techniques to predict continuous outcomes. Some familiarity with Time Series forecasting is also a plus.
Clustering and segmentation analysis is also beneficial, familiarity with core algorithms like KMeans, DbScan etc..
Comfortable working with ambiguity in a fast-paced product environment
A passion for building product-focused solutions that solve customer problems
A track record of shipping product by working collaboratively with product and software engineering teams
Ability to work autonomously

The following are a bonus!

Experience deploying machine learning systems to the cloud is beneficial In particular experience working with AWS machine learning stack as well as some familiarity with CI/CD tools such as Jenkins/AWS Codebuild/Bitbucket pipelines
Experience working with docker and containerised environments is a plus ; also some bash scripting experience and Linux shell knowledge is advantageous. Experience working in a shared code repository with version control using git
Some experience of dashboard tools such as PowerBi/Qlik/Tableau a plus but not necessary

Life @ Brightflag

We’re growing fast and so is the experience we can offer you:

A huge opportunity to make a real impact, to shape what we do and where we are going.
The exposure and challenge you need to learn, grow and progress your career in a high growth environment.
Complex technical and business problems to solve and the trust and autonomy you need to go and solve them.
A sound, helpful team, in a friendly, values-driven and inclusive environment.
Competitive salary.
25 days holidays + 4 company ‘Reset’ days throughout the year.
Comprehensive health insurance, life insurance and long term illness/income protection.
Fully flexible work location and work patterns so you can balance life at home with life at work - come to the office, work at home… or enjoy a blend of both at your discretion.
Learning subsidy of €2,000 annually, to spend as you wish, plus study and examination leave where applicable. Our ‘bookworm’ program also enables you to order a book a month.. on us!
Access to Pluralsight - the on demand learning platform for tech teams.
The Tax-Saver or Cycle-to-Work Scheme.
Wellbeing program & stipend.
Home office set-up supports.

We are a diverse and inclusive bunch of people. We welcome diverse perspectives and people who make every day count and strive for constant improvement. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

Location & Eligibility

This role offers a flexible work location across Ireland. Whether that be in the office, remote from anywhere in Ireland, or a mix of office/remote work in Ireland, you choose what works best for your lifestyle.

Your time is valuable. To help with your application, we advise that regrettably we cannot offer work permit sponsorship/ self sponsorship for this role.

About Brightflag

Hi, we’re Brightflag, the AI-powered, enterprise legal management platform that helps corporate legal departments operate with greater clarity, efficiency, and control.

Powered by our patented AI, which was developed with over 100,000 hours of legal and engineering expertise, and supported by our best-in-class Customer Success teams, Brightflag enables in-house legal teams to streamline operations, manage matters and spend, and collaborate more effectively with outside counsel.

Today, Brightflag is trusted by leading global organizations and forms part of the Legal & Regulatory division of Wolters Kluwer, a global provider of professional information, software solutions, and services. You can learn more about Brightflag here.

","hiringOrganization":{"@type":"Organization","name":"Brightflag","sameAs":"https://brightflag.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ireland","addressCountry":"Ireland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":32,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-08-02","description":"

Senior Advisor Data Science

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.

Join us to do the best work of your career and make a profound social impact as a Senior Advisor Data Science on our Data Science Team in Bangalore/Hyderabad

What you’ll achieve
As a Senior Advisor Data Science, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.

You will:

Solve business and customer problems utilizing LLM//Agents and traditional AI/ML
Build prototypes and scalable AI/ML solutions that will be integrated into software products C
Lead more junior data scientist and Collaborate with software engineers, business stakeholders and product owners in an Agile environment
Have complete ownership of model outcomes and drive continuous improvement

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

Proficient with writing sophisticated, clean, and object oriented Python code
Strong background in math, statistics, and machine Learning knowledge (deep learning, NLP, classification, forecasting, regression)
Professional experience in ML model deployment in production
Ability to work with internal stakeholders to transfer business questions into data science problem statements
Ability to effectively communicate data science progress to non-technical internal stakeholders

Desirable Requirements

Master’s or PhD in a quantitative discipline.
Professional experience with LLM/Agentic technologies

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Application closing date: 30-August-25

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.

","hiringOrganization":{"@type":"Organization","name":"Dell Technologies","sameAs":"https://www.delltechnologies.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-08-02","description":"

Data Science Advisor

Join us to do the best work of your career and make a profound social impact as a Data Science Advisor on our Data Science Team in Bangalore/Hyderabad

What you’ll achieve
As a Data Science Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.

You will:

Solve business and customer problems utilizing LLM//Agents and traditional AI/ML
Build prototypes and scalable AI/ML solutions that will be integrated into software products C
Collaborate with software engineers, business stakeholders and product owners in an Agile environment
Have complete ownership of model outcomes and drive continuous improvement

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

Proficient with writing sophisticated, clean, and object oriented Python code
Strong background in math, statistics, and machine Learning knowledge (deep learning, NLP, classification, forecasting, regression)
Professional experience in ML model deployment in production
Ability to work with internal stakeholders to transfer business questions into data science problem statements

Desirable Requirements

Master’s or PhD in a quantitative discipline.
Professional experience with LLM/Agentic technologies

Who we are

Application closing date: 30-August-25

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ECS is seeking a Senior Data Scientist to work in our Fairfax, VA office.

ECS seeks a Senior Data Scientist to support a project team responsible for managing an Artificial Intelligence initiative. The work is performed in a multidisciplinary and collaborative team environment. This role will report to a project lead and will focus on developing and applying methods to analyze data for Artificial Intelligence development across multiple classification levels and environments.

Position Responsibilities:

Participate in technical exchange meetings and discussions with our customers, vendors, and internal team to help coordinate, prioritize, and track datasets supporting AI efforts.
Work in person at the required office and, as needed, classified locations with team members and customer stakeholders.
Help cultivate an environment that promotes customer service, excellence, innovation, collaboration, and teamwork.
Mentor and train junior data scientists to learn and correctly apply data science skills.
Develop and apply methods to identify, collect, process, and analyze large volumes of data to build and enhance GEOINT processes, and systems.
Perform mathematical and statistical analysis of data to identify trends and generate observations that will be placed in reports for leadership.
Document and visualize data both temporally and spatially to assist in data integrity checks, analyze data, and display analytical assessments.
Understand and interpret data from a variety of geospatial data sources and disparate datasets.
Develop and document data workflows, assisting stakeholders with data management tasks, procedures, and best practices across multiple environments and classification levels.
Independently identify, document, and address technical challenges.
Automate analytic workflows using python or other coding languages
Provide advanced data visualization to convey findings and communicate insights utilizing GIS or visualization software capabilities.

We are a rapidly growing company that considers our employees and teams to be our most important assets. Our team environment provides opportunities for growth to individuals who are motivated to excel. Our growing program works with the most forward-leaning technologies and extraordinary customers who are thought and action leaders within the AI/ML domain. We offer a highly competitive compensation and benefits package to the right person for this key position.

\nQualifications\n

Must be a US Citizen
Active Secret Clearance and ability to obtain a TS/SCI Clearance
Minimum of a Bachelor’s Degree or 4+ years of experience.
Minimum 7+ years of overall relevant experience.
Demonstrated advanced experience with Python (i.e. numpy, pandas, matplotlib libraries).
Demonstrated advanced experience in SQL and NoSQL technologies.
Demonstrated advanced proficiency of database principles and technology.
Demonstrated advanced experience with mathematical, statistical, or scientific data science techniques
Demonstrated advanced data transformation skills.
Demonstrated advanced data processing and analytic skills.
Demonstrated experience with cloud-based database solutions.
Demonstrated advanced experience text parsing.
Demonstrated advanced experience in metadata tagging (data storage, processing and & analyzing).
Demonstrated advanced experience in work with a variety of geospatial data formats.

","hiringOrganization":{"@type":"Organization","name":"ECS","sameAs":"https://ecstech.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"FAIRFAX, VA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":35,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-08-01","description":"We are looking for an experienced Senior Data Scientist with a strong foundation in Python and extensive expertise in Large Language Models (LLMs) and prompt engineering. This role requires someone who can quickly adapt and make meaningful contributions by focusing on model prompting, data exploration, and optimization, rather than traditional predictive modeling. As a senior member of the team, you’ll be expected to lead key initiatives, collaborate with cross-functional teams, and guide the development of innovative solutions.

Key Responsibilities:

Model Development: Lead the design and development of NLP and other models to enhance LLM capabilities.
Data Analysis: Drive data exploration and analysis to uncover actionable insights that inform model development and performance improvements.
Feature Engineering: Identify, create, and optimize features that enhance model accuracy and performance.
Model Evaluation: Conduct comprehensive testing, validation, and performance evaluation of models to ensure high reliability and effectiveness.
LLM Development: Collaborate closely with team members to build, refine, and optimize the LLM to meet evolving project requirements.
Leadership & Collaboration: Work cross-functionally with data engineers, developers, and stakeholders to integrate models into applications and systems.
Mentorship: Provide guidance and mentorship to junior data scientists and other team members, helping to develop best practices and ensure technical excellence.

Requirements

Required Skills & Experience:

Strong proficiency in Python and key data science libraries .
Extensive experience with LLMs, including prompt engineering, fine-tuning, and model optimization.
Expertise in data exploration and feature engineering for model improvement.
Proven track record of model evaluation, performance optimization, and validation.
Ability to thrive in a fast-paced environment and contribute effectively in a senior role.
Excellent problem-solving skills and the ability to implement innovative solutions.
Strong communication and collaboration skills to work with cross-functional teams.
Preferred Skills (Not Essential):

Experience with graph-based processing and graph algorithms.
Familiarity with advanced NLP techniques and language model fine-tuning.
Education & Experience:

Master's degree or PhD in Computer Science, Data Science, or a related field, or equivalent practical experience.
At least 5 years of experience in a Data Scientist role, with a proven ability to work at a senior level and contribute to complex projects.

","hiringOrganization":{"@type":"Organization","name":"Blue Pearl","sameAs":"https://www.bluepearl.co.za/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cape Town, South Africa","addressCountry":"South Africa","addressRegion":"Africa"}}}},{"@type":"ListItem","position":36,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-07-16","description":"

Company Description

At Shift, we’re business specialists dedicated to helping Australian SMEs take control of their cashflow, streamline trade terms and choose the right financial products.

We believe Australian businesses are the driving force behind our economy and are core to our communities. That’s why our business expertise, focus on relationships, and market-leading technology is at the core of everything we do.

Our unique approach to product innovation combined with our collaborative culture means you can build your career in a supportive environment. You’ll be joining a diverse team of over 250 people who are always looking to deliver better outcomes for Australian businesses.

Job Description

Join Shift as a Senior Data Scientist and play a key role in shaping our analytical capabilities. You’ll collaborate closely with executives, product teams, and risk experts to design and deliver powerful statistical and machine learning models focused on credit risk, fraud detection, and profitability. Your work will directly influence business strategy, ensuring data quality and strong model governance.

What You’ll Do:

Partner with executive, product, risk, and frontline teams to define analytical goals and project scope
Manage modelling projects end-to-end, ensuring alignment with business benefits and executive buy-in
Translate complex statistical concepts and model outcomes into clear, actionable business insights
Design, develop, and validate a broad suite of models including credit risk (PD, LGD, EAD), provisioning, fraud, and profitability
Optimise credit strategies through robust modelling and insightful reporting
Continuously improve machine learning architecture and research new modelling techniques to drive innovation
Develop and deploy models using Python, working closely with technology teams to maintain production quality
Validate and manage the integrity of diverse data sources such as bank statements, credit bureaux, and financial reports
Oversee model monitoring and governance systems for internal and executive use
Coach and mentor junior data scientists, facilitating knowledge sharing and team growth

Qualifications

What You'll Bring:

4+ years experience developing predictive models in a business environment
Proficiency in Python and SQL
Strong background in credit risk modelling (scorecards, behavioural models, provisioning, collections)
Excellent communication and presentation skills, capable of building trust and translating analytics into business value
Proven project management skills to define, communicate, and deliver analytical projects aligned with strategy
Collaborative mindset with strong problem-solving abilities

Bonus points if you have:

Experience in business or commercial finance industries
Exposure to credit/product strategy design and optimisation
Expertise in validating predictive models and provisioning models (IFRS9)
Experience deploying Python models/microservices or working in clustered computing environments (e.g. Databricks)

Additional Information

Key Benefits:

Collaborative teams – a flat structure means everyone can learn from colleagues and senior leaders around the business.
Be involved – come together with all of your colleagues every 100 days to share the product and technology roadmap and business strategy.
Flexible working environment – we’re headquartered in North Sydney with state-based workplaces and offer a flexible work policy.
Family support – industry leading 26 weeks paid parental leave.
Varied workspaces – our office enables areas for collaboration, brainstorming and socialising as well as focus zones.
Range of benefits – supporting your physical, psychological and financial wellbeing.

#LI-Hybrid

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Job Description

About the job

Help our clients-internal and external-understand and use RMS services better by understanding their requirements, queries, and helping address the same through knowledge of data science and RMS.

Responsibilities

Building knowledge of Nielsen suite of products and demonstrating the same
Understanding client concerns
Able to put forth ways and means of solving client concerns with supervision
Automation and development of solutions for existing processes
Taking initiative to understand concerns/problems in the RMS product and participating in product improvement initiatives

About the job
Help our clients-internal and external-understand and use RMS services better by understanding their requirements, queries, and helping address the same through knowledge of data science and RMS.

Responsibilities
Building knowledge of Nielsen suite of products and demonstrating the same
Understanding client concerns
Able to put forth ways and means of solving client concerns with supervision
Automation and development of solutions for existing processes
Taking initiative to understand concerns/problems in the RMS product and participating in product improvement initiatives

Qualifications

Professionals with degrees in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets
2-3 years of experience in market research or relevant field

Mindset and Approach to work:

Embraces change, innovation and iterative processes in order to continuously improve the products value to clients.
Continuously collaborate & support to improve the product.
Active interest in arriving at collaboration and consensus in communication plans, deliverables and deadlines
Plans and completes assignments independently within an established framework, breaking down complex tasks, making reasonable decisions. Work is reviewed for overall technical soundness.
Participates in data experiments and PoCs, setting measurable goals, timelines and reproducible outcomes. Applies critical thinking and takes initiative.
Continuously reviews the latest industry innovations and effectively applies them to their work
Consistently challenges and analyzes data to ensure accuracy.

Functional Skills:

Ability to manipulate, analyze and interpret large data sources
Experienced in high-level programming languages (f.e. Python, R, SQL, Scala), as well as with data visualization tools (e.g. Power BI, Spotfire, Tableau, MicroStrategy)
Able to work in virtual environment. Familiar with git/Bitbucket processes
People with at least some experience in RMS, NIQ, will have an advantage
Can use a logical reasoning process to break down and work through increasingly challenging situations or problems to arrive at positive outcomes.
Identify and use data from various sources to influence decisions
Interpret effectively the data in relation to business objectives

Soft Skills

Ability to engage/communicate with team and extended team members
Can adapt to change and new ideas or ways of working.

Exhibits emotional intelligence when partnering with internal and external stakeholders

Additional Information

Our Benefits

Flexible working environment
Volunteer time off
LinkedIn Learning
Employee-Assistance-Program (EAP)

About NIQ

For more information, visit NIQ.com

Want to keep up with our latest updates?

Our commitment to Diversity, Equity, and Inclusion

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Job Summary

As a Senior Data Scientist, you will leverage cutting-edge technologies and methodologies to deliver data-driven insights and solutions for complex customer needs. You will work on end-to-end solutions, including building Proof of Concepts (POCs), professional services, and integrating third-party technologies with client systems. This role is pivotal to ensuring the successful implementation of data science-driven products and capabilities, with a key focus on AI, machine learning, and Natural Language Processing (NLP). You will collaborate closely with cross-functional teams, delivering innovative solutions to customers in highly dynamic, data-intensive environments.

Role & Responsibilities

Lead and execute complex customer engagements, utilizing specialized expertise in AI, Machine Learning, and NLP, including building POCs, integrations, and deployments with customer workflows.
Apply a combination of technical, product, and data science expertise to co-create solutions that address specific customer needs, including ideation, clarification, technical design, and documentation.
Lead detailed customer presentations for complex technical propositions, focusing on explaining advanced data science concepts and AI/ML solutions in an accessible way.
Manage relationships with internal and external stakeholders, ensuring that project and customer-specific technical requirements are captured, refined, and translated into actionable solutions.
Oversee and contribute to the development of Proof of Concepts, ensuring integration with customer workflows and systems.
Lead the technical design and implementation of AI and machine learning solutions that integrate with existing client infrastructure.
Drive the adoption of advanced data science and AI technologies to deliver high-value solutions.
Develop and present strategies for scaling AI solutions, utilizing cloud platforms (Azure, AWS, GCP) for production-ready deployments.
Lead and mentor junior team members, fostering a collaborative environment for continuous learning and technical growth.

Qualifications and Experience Required

10+ years of experience in data science or a related field, with a focus on AI, machine learning, and NLP, preferably in a senior technical or leadership role.
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. A Ph.D. in a relevant field is a plus.
Expertise in Natural Language Processing (NLP) with a deep understanding of the latest NLP stack, including transformer-based architectures such as BERT, GPT, T5, and newer models like GPT-4, PaLM, and other state-of-the-art large language models (LLMs) that are driving the evolution of NLP applications.
Extensive experience with advanced machine learning and deep learning frameworks such as TensorFlow 2.x, PyTorch, Hugging Face, and JAX for NLP and other advanced AI tasks.
Deep knowledge of cloud services (AWS, GCP, Azure) and their use in data science workflows, particularly for deploying machine learning models at scale.
Expertise in Python, with advanced knowledge of modern data science and machine learning libraries such as Pandas, NumPy, SciPy, scikit-learn, spaCy, as well as cutting-edge NLP frameworks like Hugging Face Transformers, Datasets, and NLTK for efficient model training, fine-tuning, and data preprocessing.
Strong programming skills in Python, R, and SQL, with advanced proficiency in handling large-scale data using distributed data systems like Apache Spark, cloud-native NoSQL databases such as MongoDB, Cassandra, and DynamoDB, as well as search engines like Elasticsearch and vector databases for semantic search (e.g., Pinecone, Weaviate).
Hands-on experience with data ingestion, data wrangling, and data pipeline orchestration using tools like Apache Kafka, Apache Spark, Airflow, and distributed computing frameworks like Dask and Ray.
Experience with advanced data science methodologies, including ensemble learning, deep reinforcement learning, transfer learning, and deploying large pre-trained models for real-time inference and production.
Ability to design, prototype, and deploy NLP models for a range of applications, from information retrieval to sentiment analysis, chatbots, and question answering systems.
Demonstrated success in delivering solutions in complex, fast-paced environments with a focus on customer satisfaction and technical excellence.
Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
Proven experience in customer-facing roles is highly valued, particularly in the enterprise tech or financial sectors.
Familiarity with AI-powered product development in industries such as finance, healthcare, or e-commerce.
Experience with data visualization tools like Tableau, Power BI, or Plotly to present data science findings effectively.
Knowledge of regulatory requirements in finance, including experience working with financial data feeds and APIs.

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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You thrive in a hyper-growth tech company. You are creative in your thinking and tactical in how we execute. You love numbers and users.
Note: This job is not meant for recent graduates\n

Responsibilities

Embed in the product, growth and research teams to uncover ways to drive growth
Set up the data science infrastructure and dashboards in a way so all teams can answer most questions in a self-serve way
Establish a data driven culture by identifying, communicating and socializing our north-star-metrics
Define and answer tests for impact of growth tests, product changes and model changes on the end users

Background

7+ years of experience in a data science role. Ideally a founding data scientist or lead analyst at a hyper growth product or research company.
While you are not a software engineer you are comfortable building and maintaining a modern data stack
Push to define and implement metrics
Push to design and analyze experiments with clear insights and recommendations
You are a self-starter who gets the job done
Have superb communication skills with the ability to communicate cross functionality
You have outstanding interpersonal skills and can build great relationships
You have a sense of humor

Compensation

The pay range for this position in California is $200,000 - $250,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.

","hiringOrganization":{"@type":"Organization","name":"Luma AI","sameAs":"https://lumalabs.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, California","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":40,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-06-30","description":"

Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com

Job Description

We are seeking a highly skilled Senior Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modeling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes.

Key Responsibilities:

Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions.
Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share.
Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment.
Utilize Bayesian modeling to support decision-making processes, providing insights into uncertainty and model predictions.
Collaborate with cross-functional teams to integrate data-driven insights into business processes.
Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders.
Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions.

Qualifications

Bachelor’s or Master’s degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred.
5+ years of hands-on experience in data science, with a focus on pricing optimization and elasticity modeling.
Expertise in Bayesian modeling and machine learning techniques.
Proven experience working with AWS SageMaker for model development, deployment, and monitoring.
Familiarity with AWS Certified Data Analytics – Specialty certification is a plus.
Strong programming skills in Python (preferred) or R.
Experience with cloud platforms (AWS preferred), including SageMaker.
Proficiency in statistical analysis tools and libraries (e.g., NumPy, Pandas, PyMC3, or similar)
Excellent problem-solving and analytical thinking skills.
Ability to work in a fast-paced environment and manage multiple projects.
Strong communication skills with the ability to explain complex concepts to non-technical audiences.

Preferred Qualifications:

Experience with A/B testing, econometrics, or other statistical experimentation methods.
Familiarity with other cloud computing platforms (e.g., Azure, GCP).
Experience working in cross-functional teams and client-facing roles.

Additional Information

Opportunity to work with cutting-edge technology in a dynamic environment.
Exposure to a diverse range of industries and projects.
Collaborative and inclusive work culture with opportunities for growth and professional development.

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Descrição da empresa

Você conhece a LDC? A LDC é uma das principais comercializadoras e processadoras global de produtos agrícolas, com um portfólio diversificado, que abrange toda a cadeia de valor, da originação à distribuição. Com atividades no centro da produção agrícola e de alimentos e guiados pelos nossos fortes valores, por um legado rico e uma visão clara, estamos comprometidos em trabalhar por um futuro seguro e sustentável. Ajudamos a alimentar e vestir cerca de 500 milhões de pessoas todos os anos, originando, processando e transportando aproximadamente 81 milhões de toneladas de produtos. Estruturada como uma organização matricial de 6 regiões geográficas e 10 plataformas, a LDC está ativa em mais de 100 países e emprega cerca de 18.000 pessoas em todo o mundo. Somos guiados por valores que norteiam todos os públicos em nosso trabalho. A ética e integridade fazem parte de todas as relações de negócio, assim como a humildade, comprometimento e diversidade.

Descrição da vaga

Desenvolver modelos de oferta e demanda de commodities, incluindo contribuições para modelos de produção agrícola;
Traduzir cenários de oferta e demanda em alterações de preços de commodities e estratégias de negociação;
Projetar e implementar automação de software robusto em Python, com foco em escalabilidade, desempenho e confiabilidade, adequado para negociações sistemáticas;
Garantir a qualidade e a manutenção do código e dos dados, aproveitando os princípios de observabilidade dos dados, o controle de versão do código, os testes automatizados;
Desenvolver e implementar verificações da qualidade dos dados.

Qualificações

Ensino suprior completo em Ciência da Computação, Engenharia, Economia, ou cursos correlatos;
Sólida experiência profissional em engenharia de dados e/ou desenvolvimento de software;
Proficiência em programação Python e experiência com práticas recomendadas de desenvolvimento de software;
Sólidos conhecimentos de processos de ETL e familiaridade com modelagem e armazenamento de dados;
Conhecimento dos princípios de armazenamento de dados e experiência com SQL;
Experiência com tecnologias e serviços em nuvem, de preferência no Azure;
Inglês avançado/fluente.

Informações adicionais

Conhecimento em Google Earth Engine será considerado um diferencial.

Diversidade, Inclusão e Equidade

A diversidade é parte do nosso DNA. A LDC busca sempre criar um ambiente de trabalho diversificado e inclusivo, onde todas as pessoas possam prosperar. Respeitamos e valorizamos talentos de todos os gêneros, idades, raças, etnias, sexualidades, religiões e deficiências. Diversidade é um de nossos valores! Essa oportunidade destina-se também às pessoas com deficiências (PcD).

Sustentabilidade

O valor sustentável está no centro de nosso propósito como empresa.

Somos apaixonados pela criação de valor justo e sustentável, tanto para nossos negócios quanto para outros stakeholders da cadeia de valor: nosso pessoal, nossos parceiros comerciais, as comunidades e o meio ambiente ao nosso redor.

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Company Description

Fortune Brands Innovations, Inc. is an industry-leading innovation company focused on creating smarter, safer and more beautiful homes and improving lives. Our driving purpose is that we elevate every life by transforming spaces into havens. We believe our work and our brands can have incredibly positive impacts for not just our business and shareholders, but for people and the planet, too. When you join Fortune Brands, you become part of a high-performing team who are empowered to think big, learn fast and make bold decisions. We support an inclusive and diverse culture where everyone is encouraged and empowered to be their authentic selves, and where our differences and unique perspectives are a key strength. Explore life at Fortune Brands here

Job Description

Are you a passionate and talented AI and Data Scientist looking for an opportunity to make your mark? Leverage your expertise in data science and AI to develop solutions that tackle complex, real-world problems for both internal and external customers. If you thrive in a dynamic environment and want to take ownership over your work, in a mission-driven organization, we would love to hear from you.

Position location: Hybrid onsite in Deerfield, IL
\n
\nHow You'll Make an Impact

Lead and drive the development and implementation of AI/ML models and algorithms to drive innovation across the AI within our water products
Create the technical strategic vision for data science within water products
Collaborate with business stakeholders and cross-functional teams across the organization to identify and prioritize high-impact use cases for AI/ML applications
Drive rapid prototyping efforts, focusing on learning from experiments, iterating on solutions
Demonstrate innovative and creative thinking to develop novel AI/ML approaches and solutions
Partner with product teams in order to embed AI/ML model solutions into physical and digital products
Conduct in-depth data analysis and feature engineering to extract valuable insights and improve model performance
Identify key insights from large data sources; interpret and communicate insights from data and analysis to product, service, and business managers
Partner with our ML engineering team to design, develop, and deploy scalable and robust AI/ML solutions to solve complex business problems and improve operational efficiency
Continuously monitor and optimize AI/ML models to ensure their accuracy, reliability, and performance in production environments
Stay up-to-date with the latest advancements in AI/ML technologies and apply them to drive innovation and maintain a competitive edge
Lead projects with both hands-on coding/analysis and thought leadership with a minimum viable product and minimum lovable product mindset leveraging the best technologies and methodologies appropriate for the business need and maturity
Proactively identify and communicate the challenges, opportunities, risks, and threats associated with project work to ensure the timely completion of the entire product

What We Offer

A dynamic, innovative, and collaborative work environment that fosters creativity and encourages out-of-the-box thinking
Opportunity to work on cutting-edge AI/ML projects that make a measurable impact on our products and to our customers
Access to state-of-the-art technology, tools, and resources to support your work and professional development
Mentorship from experienced AI/ML professionals who are leaders in their field and dedicated to helping you grow and succeed
Collaborative opportunities with cross-functional teams, allowing you to expand your skills and knowledge across various domains
Continuous learning and development opportunities, including workshops, conferences, and training programs to keep you updated with the latest advancements in AI/ML
Flexible work arrangements that promote work-life balance and support your personal and professional well-being
Competitive compensation package
Be part of a collaborative, inclusive, and supportive team that values diversity, integrity, and excellence
Enjoy a culture that promotes work-life balance, fosters continuous learning, and celebrates individual and collective achievements
A diverse and inclusive workplace that values and celebrates individual differences and fosters a sense of belonging

Qualifications

Experience You'll Bring

Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field (we will consider exceptional candidates without advanced degrees)
8+ years of hands-on experience in developing and deploying AI/ML models in a production environment
Experience operating as a technical lead
Strong expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and statistical modeling techniques
Extremely experienced in programming languages such as Python, R, and SQL for data manipulation and analysis
Experience with end-to-end feature development (owning feature definition, roadmap development, and experimentation)
Experience distilling informal customer requirements into problem definitions, dealing with ambiguity, and competing objectives
Experience with big data technologies (e.g., Snowflake, Google BigQuery) and cloud computing platforms (e.g., AWS, GCP, Azure)
Excellent problem-solving skills and ability to think creatively to develop innovative AI/ML solutions
Strong communication and collaboration skills to effectively work with cross-functional teams and stakeholders
Proven track record of delivering high-impact AI/ML projects in a fast-paced and dynamic environment
Demonstrated ability to persevere and iterate through solutions in the face of technical challenges and setbacks
Hands-on experience in building solutions leveraging the latest AI capabilities and advancements, including large language models, generative AI, and other state-of-the-art techniques

Additional Information

Fortune Brands believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is Hiring Pay Range: $130,000 USD - $175,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based sales incentive plan.

At Fortune Brands, we support the overall health and wellness of our associates by offering comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates’ unique needs. This includes robust health plans, a market-leading 401(k) program with a company contribution, product discounts, flexible time off benefits (including half-day summer Fridays per policy), inclusive fertility / adoption benefits, and more. We offer numerous Employee Resource Groups to support inclusivity and our associates’ feeling of belonging at work.

Fortune Brands is a brand, innovation and channel leader focused on exciting, supercharged categories in the home products, security and commercial building markets. Our portfolio of brands includes Moen, House of Rohl, Aqualisa, SpringWell, Therma-Tru, Larson, Fiberon, Master Lock, SentrySafe and Yale residential.

Fortune Brands is headquartered in Deerfield, Illinois and trades on the NYSE as FBIN

Equal Employment Opportunity:

FBIN is an equal employment opportunity employer and does not discriminate against any applicant based on race, color, religion, sex, gender identity or expression, national origin, ancestry, age, disability, marital status, protected veteran status, sexual orientation, genetic history or information, or any other legally protected characteristic.

We are committed to a diverse and inclusive workplace and encourage applicants from all backgrounds to apply. To support our efforts, we invite you to voluntarily share your gender, ethnicity, and veteran status. This information is confidential and helps us ensure an inclusive hiring process and improve our diversity initiatives.

Reasonable Accommodations:

FBIN is committed to working with and providing reasonable accommodation to applicants with disabilities. If you need a reasonable accommodation for any part of the application or interview process, please contact us at fbinleave.fbhs@fbin.com and let us know the nature of your request along with your contact information. Resumes submitted to this email address will not be responded to.

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Company mission

In the future, almost everything we consume will simply materialise on our doorsteps – what we call “e-commerce” today will simply be “commerce” tomorrow. But if we continue on today’s trajectory, the growth of e-commerce risks damaging the environment, alienating our communities, and straining the bottom-line for small businesses.

Relay is an e-commerce-native logistics network built from the ground up for environmental, social, and economic sustainability. Our mission is to reduce the number of miles driven per parcel, lower carbon emissions, and reduce delivery costs — all while reinvesting into local communities.

About the role

As a highly operational business, we rely on data science to power every part of our network. From day one, we’ve built Relay around a deep understanding of our supply chain, using our best-in-class data assets to set strategy, improve quality, and optimise performance across every layer of the network. Our high-impact data team works across forecasting, optimisation, pricing, geospatial modelling, infrastructure planning, and more. Whether it’s planning courier capacity, guiding pitstop expansion, or improving the economics of delivery, our work directly shapes how Relay scales.

We are looking for Senior Data Scientists to join our growing data team; these are hands-on roles with wide scope and strong exposure to decision-making. You’ll partner closely with operations, product, and commercial teams to solve practical problems with real-world impact, often working from messy datasets and complex systems, where the answers don’t sit neatly in one model. You’ll be embedded in cross-functional teams, helping drive cost, quality, and reliability across the network. If you’re motivated by fast feedback loops, strong ownership, with strong exposure to leadership, and the chance to shape a growing system from the inside out, we’d love to hear from you.

Open Roles

Senior Data Scientist - Relay Network

The Network Data Science team is responsible for modelling, forecasting, and optimising how parcels, couriers, and costs flow through Relay’s delivery network. We work across the business to guide operational decisions, shape commercial strategy, and ensure the network scales sustainably. Example projects include:

Forecasting parcel volumes at multiple horizons to inform hiring, shift allocation, pitstop scaling, and pricing
Building operational and financial models to simulate trade-offs between cost, quality, and growth across the network
Structuring fragmented datasets into usable insight using AI and programmatic approaches
Embedding forecasting and planning models into live tooling used by operators, analysts, and finance teams
Supporting strategic planning for new zone launches, infrastructure investment, and client expansion
Acting as a thought partner to operations, commercial, and finance leads to bring a scientific lens to high-stakes planning and investment decisions

Senior Data Scientist - Attribution & Explainability

The Attribution & Explainability team acts as Relay’s internal detective squad, uncovering hidden inefficiencies, guiding smarter decisions, and driving meaningful impact across the business. Positioned at the centre of Relay’s operations, we partner with teams across logistics, finance, commercial, and beyond to bring clarity to complex problems and identify opportunities for improvement.

Our work helps illuminate which parts of the network are operating effectively and where bottlenecks, losses, or misalignments are occurring. Example projects include:

Developing frameworks to identify where parcels are delayed or lost in the network, and designing interventions to resolve these bottlenecks
Modelling the impact of future network expansion on operational constraints, helping to shape Relay’s long-term growth strategy
Analysing marketplace dynamics to better understand the cost structures and incentives for last-mile couriers
Collaborating with the broader data team to build forecasting models that inform high-level strategic planning
Acting as a thought partner to operations, commercial, and finance leads, bringing a scientific, data-driven perspective to critical planning and investment decisions

You Will Thrive in This Role If You:

6+ years of experience in data science, with a strong record of delivering models into production
Deep experience with Python and SQL
Strong foundations in statistics and probability, with experience applying them in operational and/or financial contexts
Comfort working in ambiguity and navigating messy or incomplete data
Effective communication skills — you can explain technical results clearly to non-technical audiences
Comfortable having strategic conversations with senior stakeholders, working across functions and disciplines to drive impact

Nice to haves

Experience working in logistics, marketplaces, or similarly complex operational businesses
Experience using LLMs or AI tools to structure and extract meaning from unstructured data
Experience automating workflows and deploying model pipelines (e.g. MLFlow, GCP Vertex, Airflow, dbt or similar)
Exposure to business planning, pricing, or commercial decision-making
Familiarity with geospatial data
Experience in fast-scaling startups or operational teams

We're flexible on experience – if you’re an experienced and pragmatic data scientist, with a track record of driving impact, we’d love to hear from you.

What Relay Offers:

Generous equity package
25 days annual leave, plus bank holidays
Bupa Global Business Premier health plan – including mental, dental, and optical cover
Enhanced Parental Leave:
- 20 weeks of fully paid maternity leave
- 4 weeks of fully paid paternity leave
Contributory pension scheme
Friday office lunches
Access to cutting-edge AI tooling
Hybrid working from our dog-friendly Shoreditch office
Free gym membership via our co-working spaces
Cycle-to-work scheme
Regular team socials, events, and offsites!!

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A Keyrus acredita na diversidade e na inclusão. Encorajamos a todos a participarem em nosso processo de contratação, não importando o gênero, idade, raça, religião. Não permitimos nenhum tipo de discriminação. Isto é reforçado no processo de contratação e vivido dessa forma na empresa.

Sabemos que grandes resultados só são alcançados com uma grande equipe, por isso procuramos pessoas talentosas e apaixonadas, com desejo de crescer profissionalmente e criar uma trajetória de carreira conosco.

Papéis e Responsabilidades:

Estruturar e manter bancos de dados para análise, garantindo a integridade, organização e disponibilidade das informações.
· Realizar processos de ETL (extração, transformação e carregamento de dados), data cleansing e criação de features para preparação de dados.
· Extrair, tratar e analisar grandes volumes de dados provenientes de diferentes fontes, promovendo estudos analíticos ad hoc.
· Desenvolver e implementar modelos preditivos utilizando técnicas avançadas de machine learning, de acordo com as necessidades do negócio.
· Trabalhar de forma colaborativa com equipes multidisciplinares para identificar oportunidades de análise e propor soluções baseadas em dados.

Qualificações Essenciais:

Experiência avançada em estruturação e tratamento de bancos de dados relacionais.
Domínio de processos de ETL, data cleansing e feature engineering.
Sólidos conhecimentos em SQL e Python.
Vivência com análise e manipulação de grandes volumes de dados.
Experiência comprovada em desenvolvimento e implementação de modelos preditivos utilizando técnicas de machine learning.
Capacidade de traduzir necessidades de negócio em análises e estudos de dados eficazes.
Necessário ter disponibilidade para eventuais visitas ao cliente na região da Faria Lima/SP.

Serão considerados Diferenciais:

Conhecimento em prevenção e detecção de Fraude Transacional.

Nossa missão é Auxiliar as empresas a extrair todo o potencial de Dados e Digital objetivando aumentar seu desempenho, ajudando na transformação, gerando novas alavancas de crescimento e competitividade.

Vem fazer parte do Time Keyrus!

Se você quiser saber mais sobre nós, convidamos você a visitar nosso site: http://www.keyrus.com/br/

Desejamos boa sorte! 😊🚀

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Company Description

Who We Are

Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours.

We are feeding the world’s curiosity!

Job Description

The Opportunity

As a Senior Data Scientist at Cint, you will play a pivotal role in optimizing the Cint Exchange. Collaborating closely with product and engineering teams, you will deliver data-driven solutions to enhance the performance of existing products, inform the development of new offerings, and deepen our understanding of marketplace dynamics. This role involves advanced data mining and analytics, robust product and data validation, and the development of sophisticated statistical and machine learning-based methodologies.

The ideal candidate will have a strong ability to independently research, develop, and maintain high-impact solutions that align Cint’s capabilities with market needs, directly influencing strategic decisions for the Exchange.

What you will do

Lead the research, discovery, and full-cycle development of machine learning solutions, including model development, deployment, maintenance, and performance evaluation, ensuring seamless integration into production environments for the Cint Exchange.
Develop a comprehensive, predictive understanding of marketplace dynamics, including price elasticity, supply/demand balance, and their underlying mechanics within the Cint Exchange, providing deep analytical insights.
Independently and confidently carry out complex project planning, development, and maintenance end-to-end with minimal supervision.
Analyze large, diverse datasets to extract impactful insights that can guide Exchange product and pricing strategy.
Collaborate with cross-functional teams (Product, Engineering, Commercial, Operations, Finance) to design, implement, and test new and existing products, as well as to understand, analyze, explain, and predict the impact of platform algorithms on clients and partners.
Define, establish, and drive the development of advanced statistical and machine learning methods, setting modeling standards and best practices.
Conduct exploratory analyses to deepen insights into key metrics and trends, and lead the design and execution of A/B tests and other complex experiments to validate hypotheses for the Exchange.
Continuously evaluate and validate both internal and external products to ensure Cint's continued success and the health of the Exchange.
Create clear, effective deliverables that communicate complex insights and recommendations through compelling visualizations and presentations tailored to diverse technical and non-technical audiences.

Qualifications

What we are looking for

Minimum 5 years of solid working experience in a Data Science capacity, with demonstrated experience in leading projects or initiatives.
A Master's degree (or equivalent) in Statistics, Quantitative Sciences, Data Science, Operations Research, or a related quantitative field.
Strong ability to manipulate, analyze, and interpret large, complex datasets independently.
Deep understanding of advanced statistical techniques and concepts (e.g., properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, including multivariate testing, regression/predictive modeling, causal inference, and A/B testing).
Strong knowledge of various machine learning techniques (e.g., clustering, regression, decision trees, neural networks, etc.) and their real-world advantages and drawbacks.
Proven experience applying statistical and modeling techniques to solve complex business problems in real-world scenarios.
Proficiency in Python (for statistical and ML package tools).
Proficiency in SQL and working with large-scale databases.
Comfortable researching and adopting new methods, tools, and techniques, and able to mentor junior colleagues on their application.

Essential Qualities:

Highly accountable self-starter and quick learner, consistently motivated to deliver high-quality, impactful results.
Strong data-driven mindset with the ability to translate abstract business requests into actionable analytical initiatives and solutions.
Excellent written and verbal communication skills, with the ability to explain, defend, and present complex analytical techniques and findings to diverse audiences, including senior leadership and non-experts.
Ability to understand the big picture strategic objectives while ensuring meticulous attention to detail in execution.

Bonus points if you have

Experience in marketplace dynamics, matching algorithms, or supply/demand optimization.
Experience with survey exchange platforms.
Knowledge of dynamic pricing models.
Experience with Databricks and using it for scalable data processing and machine learning workflows.
Experience working with big data technologies (e.g., Spark, PySpark).
Experience with online market research methods/products.

Additional Information

#LI-Remote

#LI-JC1

Our Values

Collaboration is our superpower

We uncover rich perspectives across the world
Success happens together
We deliver across borders.

Innovation is in our blood

We’re pioneers in our industry
Our curiosity is insatiable
We bring the best ideas to life.

We do what we say

We’re accountable for our work and actions
Excellence comes as standard
We’re open, honest and kind, always.

We are caring

We learn from each other’s experiences
Stop and listen; every opinion matters
We embrace diversity, equity and inclusion.

More About Cint

We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth.

\nIn June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries.

Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. (www.cint.com)

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Company Description

Who We Are

We are feeding the world’s curiosity!

Job Description

The Opportunity

As a Senior Data Scientist at Cint you will have the opportunity to work alongside our Data Science and Analytics teams and collaborate with product and engineering teams to work on Media Measurement and Data Solutions products. This includes data analysis, design of statistical and machine learning model methodologies and codebases, and model validation. The ideal candidate is a self-starter with the ability to independently research, develop, validate and maintain products that align Cint capabilities with the market.

What you will do

Lead research, discovery and development phases for new and existing products/models relating to media measurement
Independently and confidently carry out project planning, development and maintenance - end to end with minimal supervision
Analyze a variety of large datasets to extract impactful insights that can drive product strategy
Collaborate with cross-functional teams to align on design and implementation of models.
Develop methodologies, validate, and maintain statistical and machine learning models.
Ongoing evaluation and validation of both internal and external products to ensure Cint’s success.
Communicate insights and recommendations through visualizations and presentations that will resonate with a wide range of audiences.

Qualifications

What we are looking for

Master’s degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research or other quantitative fields.
5 years of experience in a data science capacity, preferably in market research, or advertising analytics.
Ability to manipulate, analyze, and interpret large data sources independently.
Deep understanding of advanced statistical techniques and concepts (e.g. properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression/predictive modeling, stochastic modeling/simulation, and more).
Strong Knowledge of a variety of machine learning techniques (clustering, regression, tree-based models, etc.) and their real-world advantages/drawbacks.
Working knowledge in application of statistical and modeling techniques.
Strong analytical skills with a focus on data validation and accuracy.
Comfortable in researching and learning new methods, tools and techniques.
Self-starter that can independently and confidently carry out projects end to end with minimal supervision.
Proficiency in Python (as it relates to statistical analysis and implementing Machine Learning models)

Bonus points if you have

Experience in media measurement and digital attribution
Experience with multivariate testing
Experience with predictive modeling
Experience modeling and quantifying outcomes through linking attitudinal (survey) data to behavioral (purchase) data
Experience in online survey methodologies
Ability to write and optimize SQL queries
Experience working with big data technologies (e.g. Spark)

Additional Information

Anticipated Salary Range (US Only):

The anticipated pay range for this role is $140,800 to $211,200 annual base salary. This position is also eligible for the following benefits:

Medical, Dental, and Vision insurance options to suit you and your family’s needs
401K with company matching
PTO, unlimited sick days
Remote Work
Paid maternity and paternity leave
Annual bonus opportunity

#LI-Remote

#LI-JC1

Our Values

Collaboration is our superpower

We uncover rich perspectives across the world
Success happens together
We deliver across borders.

Innovation is in our blood

We’re pioneers in our industry
Our curiosity is insatiable
We bring the best ideas to life.

We do what we say

We’re accountable for our work and actions
Excellence comes as standard
We’re open, honest and kind, always.

We are caring

We learn from each other’s experiences
Stop and listen; every opinion matters
We embrace diversity, equity and inclusion.

More About Cint

We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth.

","hiringOrganization":{"@type":"Organization","name":"Cint","sameAs":"https://www.cint.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":47,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-08-08","description":"

Company Description

Who We Are

We are feeding the world’s curiosity!

Job Description

The Opportunity

What you will do

Lead the research, discovery, and full-cycle development of machine learning solutions, including model development, deployment, maintenance, and performance evaluation, ensuring seamless integration into production environments for the Cint Exchange.
Develop a comprehensive, predictive understanding of marketplace dynamics, including price elasticity, supply/demand balance, and their underlying mechanics within the Cint Exchange, providing deep analytical insights.
Independently and confidently carry out complex project planning, development, and maintenance end-to-end with minimal supervision.
Analyze large, diverse datasets to extract impactful insights that can guide Exchange product and pricing strategy.
Collaborate with cross-functional teams (Product, Engineering, Commercial, Operations, Finance) to design, implement, and test new and existing products, as well as to understand, analyze, explain, and predict the impact of platform algorithms on clients and partners.
Define, establish, and drive the development of advanced statistical and machine learning methods, setting modeling standards and best practices.
Conduct exploratory analyses to deepen insights into key metrics and trends, and lead the design and execution of A/B tests and other complex experiments to validate hypotheses for the Exchange.
Continuously evaluate and validate both internal and external products to ensure Cint's continued success and the health of the Exchange.
Create clear, effective deliverables that communicate complex insights and recommendations through compelling visualizations and presentations tailored to diverse technical and non-technical audiences.

Qualifications

What we are looking for

Minimum 5 years of solid working experience in a Data Science capacity, with demonstrated experience in leading projects or initiatives.
A Master's degree (or equivalent) in Statistics, Quantitative Sciences, Data Science, Operations Research, or a related quantitative field.
Strong ability to manipulate, analyze, and interpret large, complex datasets independently.
Deep understanding of advanced statistical techniques and concepts (e.g., properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, including multivariate testing, regression/predictive modeling, causal inference, and A/B testing).
Strong knowledge of various machine learning techniques (e.g., clustering, regression, decision trees, neural networks, etc.) and their real-world advantages and drawbacks.
Proven experience applying statistical and modeling techniques to solve complex business problems in real-world scenarios.
Proficiency in Python (for statistical and ML package tools).
Proficiency in SQL and working with large-scale databases.
Comfortable researching and adopting new methods, tools, and techniques, and able to mentor junior colleagues on their application.

Essential Qualities:

Highly accountable self-starter and quick learner, consistently motivated to deliver high-quality, impactful results.
Strong data-driven mindset with the ability to translate abstract business requests into actionable analytical initiatives and solutions.
Excellent written and verbal communication skills, with the ability to explain, defend, and present complex analytical techniques and findings to diverse audiences, including senior leadership and non-experts.
Ability to understand the big picture strategic objectives while ensuring meticulous attention to detail in execution.

Bonus points if you have

Experience in marketplace dynamics, matching algorithms, or supply/demand optimization.
Experience with survey exchange platforms.
Knowledge of dynamic pricing models.
Experience with Databricks and using it for scalable data processing and machine learning workflows.
Experience working with big data technologies (e.g., Spark, PySpark).
Experience with online market research methods/products.

Additional Information

#LI-Remote

#LI-JC1

Our Values

Collaboration is our superpower

We uncover rich perspectives across the world
Success happens together
We deliver across borders.

Innovation is in our blood

We’re pioneers in our industry
Our curiosity is insatiable
We bring the best ideas to life.

We do what we say

We’re accountable for our work and actions
Excellence comes as standard
We’re open, honest and kind, always.

We are caring

We learn from each other’s experiences
Stop and listen; every opinion matters
We embrace diversity, equity and inclusion.

More About Cint

We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth.

","hiringOrganization":{"@type":"Organization","name":"Cint","sameAs":"https://www.cint.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, England, United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":48,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-08-08","description":"

Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com 

We are seeking a Data Scientist to contribute to our next level of growth and expansion. 

Job Description

We’re growing our Data Science team to drive innovation in Generative AI. As a Data Scientist, you will design, build, and deploy LLM-powered solutions that directly impact our products and users. You’ll work hands-on with LLMs, transformers, retrieval-augmented generation (RAG), and AI agents, collaborating with Engineering to bring prototypes all the way to production and take ownership of their ongoing maintenance, enhancement, and evolution.

What's this position about?

Architect and implement production-ready AI solutions involving LLMs, transformer-based models, retrieval systems, agentic workflows, and AI agents for generative tasks and automation.
Design and iterate on prompts, workflows, and RAG pipelines to improve accuracy, cost-efficiency, latency, and safety.
Build multi-step agentic systems that break down complex tasks, invoke external tools or APIs, manage state, and handle reasoning chains robustly.
Deploy models and GenAI pipelines in production environments (API, batch, streaming), ensuring reliability and scalability.
Build and maintain evaluation frameworks to measure model grounding, factuality, latency, and cost.
Develop and integrate guardrails for safety, security, and output validation.
Collaborate cross-functionally with Product, Engineering, and ML Ops to deliver high-quality AI features end-to-end.

Qualifications

Required Skills:

3+ years of applied machine learning experience, with a focus on NLP, transformers, or generative AI systems.
Hands-on experience with LLM-related libraries (e.g., LangChain, LlamaIndex, OpenAI API, CrewAI) and services (Azure Prompt Flow, AWS Bedrock agents, or similar).
Experience designing multi-step agents that combine LLM reasoning with tool/API calls, with safeguards against errors, loops, and unsafe tool use.
Proven experience building and deploying machine learning models to production (API, batch, or streaming).
Proficient in Python, following clean, modular, production-grade code practices.
Strong ability to design and analyze ML experiments with metric-driven evaluation.
Experience developing and monitoring AI-powered applications in cloud environments (AWS, Azure, GCP) using APIs, batch, or streaming architectures.
Familiarity with containerization, version control, and CI/CD pipelines.
Experience implementing privacy, bias mitigation, safety guardrails, or related responsible AI practices.

Nice to Have Skills:

Experience with retrieval-augmented generation (RAG) optimization.
Knowledge of additional programming languages (e.g., R, Java, or Scala).
Background in optimization and cost-performance tradeoffs for large-scale AI systems.

Education:

Degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience).

Languages:

Excellent written and verbal English for clear and effective communication with the team.

Experience:

Minimum of 2 years in applied machine learning, with proven hands-on NLP or generative AI expertise.

Additional Information

Our Perks and Benefits:

📚 Learning Opportunities:

Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.

Access to AI learning paths to stay up to date with the latest technologies.

Study plans, courses, and additional certifications tailored to your role.

Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.

English lessons to support your professional communication.
\n

🛫 Travel opportunities to attend industry conferences and meet clients.

👩‍🏫 Mentoring and Development:

Career development plans and mentorship programs to help shape your path.

🎁 Celebrations & Support:

Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.

Company-provided equipment.
Flexible working options to help you strike the right balance.

Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.

","hiringOrganization":{"@type":"Organization","name":"Blend360","sameAs":"https://blend360.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Montevideo, URUGUAY, Uruguay","addressCountry":"Uruguay","addressRegion":"South America"}}}},{"@type":"ListItem","position":49,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-08-08","description":"Senior Data Scientist

- - - - - - - - - - - -

KEY EXPECTED ACHIEVEMENTS
Business understanding & Solution implementation
• The business need is understood and formalized in a descriptive datasheet or specifications
• The methods are identified through external researches and selected by their theoretical bases, advantages and drawbacks.
• The results of the analysis or the models are presented to the customers with data visualisation tools indicating the performances and the limits. The source code is delivered and explained if necessary.
Quality/Capitalization
• All stages of Machine learning project are implemented (pipeline, components, tests), respecting quality standards
• All valuable code is re-usabled by community
• Data Analysis models are monitored (technological watch) and partnerships are developed
Health of the metier
• The metier is well supported by the data scientist network with proposals for improvements to develop people, technos, processes.

","hiringOrganization":{"@type":"Organization","name":"Michelin","sameAs":"https://www.michelin.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pune, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":50,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-08-07","description":"

About FWD Group

FWD Group is a pan-Asian life and health insurance business that serves approximately 30 million customers across 10 markets, including BRI Life in Indonesia. FWD’s customer-led and tech-enabled approach aims to deliver innovative propositions, easy-to-understand products and a simpler insurance experience. Established in 2013, the company operates in some of the fastest-growing insurance markets in the world with a vision of changing the way people feel about insurance. FWD Group is listed on the Main Board of The Stock Exchange of Hong Kong Limited under the stock code 1828.

For more information, please visit www.fwd.com

Job Purpose

Communicate and provide stakeholders with business-focused findings or actionable insights for their decision making, this position organize and analyze large amounts of unstructured and structured data by utilizing various data science tools together with programming languages.

Key Responsibilities

Work collaboratively with data engineers and data architects to acquire new data from internal and external source systems.
Support business initiatives and projects by performing data wrangling and exploratory data analysis, discovering trends and patterns, building predictive models and machine learning algorithms, etc., based on the CRISP-DM methodology and agile approach.
Stay up to date with big data and analytical techniques, such as machine learning, deep learning and text analytics.
Provide analytics expertise, directions and guidance to business leads through turning insights into business action so as to improve sales and customer profitability.
Present summary of analyses including data monetization on large datasets using advanced analytics tools and data visualization techniques.
Lead implementation of AI models and business rules incorporated in automated business processes.

","hiringOrganization":{"@type":"Organization","name":"FWD Insurance","sameAs":"https://www.fwd.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Thailand - Bangkok","addressCountry":"Thailand","addressRegion":"Asia/Pacific"}}}}]}

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