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ADP is hiring a Data Scientist.

\n\n

Does the thought of working with one of the most comprehensive employment data sets in the US excite you?
Are you inspired by transformation and making an impact on the lives of millions of people every day?

Well, this may be the role for you. Ready to design what's next?

In this role, you'll acquire, clean, and analyze large data sets and do exploratory analysis to understand our data and if it meets project requirements. It's more than digits and dials - you're making huge decisions that impact millions of customers.

Every day you'll work with multiple stakeholders to identify, design, develop and implement advanced analytics projects that track the consumer conversion funnel from start to end. You'll work with your team to provide, interpret, and predict necessary metrics for decision-making. You'll code with machine learning tools like Python, R, and Scala to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.

To thrive in this career, you should know how to identify errors and reactively fix them. You'll need to have some formal education in quantitative analytics and know design patterns and data structures. You have the skills to leverage existing models or create new models using the technologies above. But given the scale of our data sets and the complex problems we give you to solve, you will stay challenged and engaged with years of exciting projects ahead—all while growing your skills and progressing in a rewarding career.

\n\n

Like what you see? Apply now!

Learn more about ADP at jobs.adp.com

\n\n

What You'Ll Do:

Here's what you can expect on a typical day:

Advanced Analytics & Predictive Modeling: You bring prior experience to the role of formulating analytical problems, extracting & analyzing data from multiple systems, summarizing critical findings/insights, and developing a compelling visual representation of analyses with actionable recommendations—this will set you up for success on Day 1.
Own and Manage Projects: You will identify, design, develop, and implement advanced analytical projects.
Limitless Possibilities: You will continue learning and discovering new ways to leverage ADP data to create new products and services and find more insights. You are passionate about learning and applying new techniques within data science that leads to innovations.
Collaboration and Communication: You'll be part of a collaborative team, listening to needs, then finding and sharing solutions. You're comfortable and skilled at presenting to both peers and leadership on your projects and findings.
Experience: You have 2-5 years of experience in relevant skills gained and developed in the same or similar role.

To Succeed In This Role:

You'll have a Bachelor's degree OR equivalent.
Prior experience in Python, SQL, distributed computing tools such as Hadoop, Hive, or Spark; Oracle, Mongo;
Familiarity with data lake and medallion architecture as well as data visualization tools like Tableau will give you extra comfort in this role to be successful.

YOU'LL LOVE WORKING HERE BECAUSE YOU CAN:

\n\n

Have courageous team collaboration. Courage comes from how associates are willing to have difficult conversations, speak up, be an owner, and challenge one another's ideas to find the best solution.
Deliver at epic scale. We deliver real user outcomes using strong judgment and good instincts. We're obsessed with the art of achieving simplicity with a focus on client happiness and productivity.
Be surrounded by curious learners. We align ourselves with other smart people in an environment where we grow and elevate one another to the next level. We encourage our associates to listen, stay agile, and learn from mistakes.
Act like an owner & doer. Mission-driven and committed to leading change, you will be encouraged to take on any challenge and solve complex problems. No tasks are beneath or too great for us. We are hands-on and willing to master our craft.
Give back to others. Always do the right thing for our clients and our community and humbly give back to the community where we live and work. Support our associates in times of need through ADP's Philanthropic Foundation.
Join a company committed to equality and equity. Our goal is to impact lasting change through our actions.
What are you waiting for? Apply today!
Find out why people come to ADP and why they stay: https://youtu.be/ODb8lxBrxrY
(ADA version: https://youtu.be/IQjUCA8SOoA )

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Minimum Qualifications:

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
Experience with statistical data analysis, statistical modelling and experimental design.

Preferred Qualifications:

8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
4 years of experience as a data scientist, and experience applying advanced analytics to planning and infrastructure problems.
Experience with Large Scale Computing and Predictive Modeling in a business context.
Experience with Mathematical or Combinatorial Optimization.
Experience designing and building machine learning models.
Excellent problem-solving and project management skills.

About The Job

\nYou will co-lead the transition of the resource management of hyperscale containerized platforms from ad-hoc heuristics to optimization, reinforcement learning and beyond. Working with product designers and tech leads, you will provide quantitative perspective and expertise in ML methods and statistical tools both to optimize the products and to evaluate their impact. You will have an opportunity to impact the key infrastructure layer for large-scale AI deployments spanning tens of thousands of machines and products, including VertexAI and external customers.

Responsibilities

Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into analysis, evaluation metrics, or mathematical models.
Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
Design and evaluate models to mathematically express and solve problems with limited precedent. Use statistical approaches to quantify uncertainty in data and in results.
Use mathematical optimization/operational research methods to improve products' efficiency and customer experience.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Warsaw, Poland","addressCountry":"Poland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":3,"item":{"@type":"JobPosting","title":"Senior Data Scientist, Genomics/Epigenetics, Science","datePosted":"2025-09-20","description":"

The Chan Zuckerberg Initiative was founded by Priscilla Chan and Mark Zuckerberg in 2015 to help solve some of society’s toughest challenges — from eradicating disease and improving education to addressing the needs of our local communities. Our mission is to build a more inclusive, just, and healthy future for everyone.

The Team

CZI supports the science and technology that will make it possible to help scientists cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease.

Achieving our mission will only be possible if scientists are able to better understand human biology. To that end, we have identified four grand challenges that will unlock the mysteries of the cell and how cells interact within systems — paving the way for new discoveries that will change medicine in the decades that follow:

Building an AI-based virtual cell model to predict and understand cellular behavior
Developing state-of-the-art imaging systems to observe living cells in action
Instrumenting tissues to better understand inflammation, a key driver of many diseases
Engineering and harnessing the immune system for early detection, prevention, and treatment of disease

CZI’s work in science includes grantmaking programs, open-source software development, and close collaboration with the Chan Zuckerberg Biohub Network. The CZ Biohub Network includes the San Francisco, Chicago, and New York Biohubs as well as the Chan Zuckerberg Imaging Institute. CZI also collaborates with institutional partners like the Kempner Institute for the Study of Natural & Artificial Intelligence at Harvard University. Join us in accelerating science.

The Opportunity

At CZI, we are generating unprecedented scientific datasets that drive biological modeling innovation:

Billions of standardized cells of single-cell transcriptomic data, with a focus on measuring genetic and environmental perturbations
10s of thousands of donor-matched DNA & RNA samples
PB-scale static and dynamic imaging datasets
TB-scale mass spectrometry datasets
Diverse, large multi-modal biological datasets that enable biological bridges across measurement types and facilitate multi-modal model training to define how cells act.

After model training, we make all data products available through public resources like CELLxGENE Discover and the CryoET Portal, used by tens of thousands of scientists monthly to advance understanding of genetic variants, disease risk, drug toxicities, and therapeutic discovery.

As a Senior Data Scientist, you'll lead the creation of groundbreaking omics datasets that decode cellular function at the molecular level, describe development, and predict responses to genetic or environmental changes. Working at the intersection of data science, biology, and AI, you'll define data needs, format standards, analysis approaches, quality metrics, and our technical strategy, creating systems to ingest, transform, and validate and deploy data products.

Success for this role means delivering high-quality, usable datasets that directly address modeling challenges and accelerate scientific progress. Join us in building the data foundation that will transform our understanding of human biology and move us along the path to curing, preventing, and managing all disease.

What You'Ll Do

Contribute to a robust omics data ecosystem: build single cell data ingestion pipelines, select data formats, standards, and database schemas, and write validation tools, QC approaches, and analysis pipelines.
Collaborate with ML engineers, AI Researchers, and Data Engineers to iteratively evaluate, refine and grow datasets to maximize model performance.
Discover and define new data generation opportunities, and manage the delivery of those data products to our AI team.
Collaborate with engineers, product managers, UX designers, and other data scientists to publish valuable datasets as part of CZI's open data ecosystem.

What You'Ll Bring

5+ years of experience with large scale genomic and/or epigenomic datasets.
Demonstrated delivery of large biological data products.
Experience with big data: extraction, transport, loading, databases, standardization, validation, QC, and analysis.
Experience with processing and orchestration pipelines, such as Argo Workflows, Databricks
Strong fundamentals in statistical reasoning and machine learning.
Experience with biological data analysis and QC best practices
Excellent written and verbal communication skills.
Enthusiasm to ramp up on technologies and learn new domains.
Experience working in a multidisciplinary environment (engineering, product, AI Research).

Compensation

The Redwood City, CA base pay range for a new hire in this role is $190,000 - $261,800. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.

Better Together

As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team’s manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.

Benefits For The Whole You

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.

CZI provides a generous employer match on employee 401(k) contributions to support planning for the future.
Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs.
CZI Life of Service Gifts are awarded to employees to “live the mission” and support the causes closest to them.
Paid time off to volunteer at an organization of your choice.
Funding for select family-forming benefits.
Relocation support for employees who need assistance moving to the Bay Area
And more!

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

Explore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers.

#Li-Hybrid

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Why Socure?

At Socure, we’re on a mission—to verify 100% of good identities in real time and eliminate identity fraud from the internet.

Using predictive analytics and advanced machine learning trained on billions of signals to power RiskOS™, Socure has created the most accurate identity verification and fraud prevention platform in the world. Trusted by thousands of leading organizations—from top banks and fintechs to government agencies—we solve real, high-impact problems at scale. Come join us!

About The Role

Join Socure’s Data Science Client Analysis team as a Sr. Data Scientist—this is a remote role based anywhere in the U.S..

In this unique role as Sr. Data Scientist, you will leverage your experience developing algorithms and analyzing massive data sets to tell compelling data stories while also working in partnership with the go-to-market team to drive revenue generation for Socure by ensuring that potential and existing customers can understand - through deep analysis - the benefit and value of Socure’s products throughout the pre and post sales cycle.

This role is ideal for a Data Scientist who thrives on communicating data stories to both technical and non-technical audiences. It’s a great fit for someone who enjoys working with data and directly influencing business decisions. Data Scientists on the Client Analysis team are rewarded for their contributions to driving new business with a generous incentive bonus, in addition to a competitive base salary.

What You'Ll Do

Analyze massive customer data sets, come up with actionable insights, and explain how our models perform and how we can help our customers build optimal risk management policies
Act as a Data Science advocate: deeply understand Socure’s solutions (products, models and algorithms) and customers’ risk challenges to educate and influence from a scientific perspective
Create convincing data stories to showcase how we can help our customers eliminate identity fraud, streamline their end-user experience, and support their risk management efforts holistically
Provide thought leadership and be the customer’s voice for building the next generation of Socure’s core models and product Create tools and automated workflows to improve the speed, accuracy, and reproducibility of our analysis
Partner closely with GTM teams (Sales, Solution Consultants, Account Managers and Technical Program Managers) to derive creative ways of analysis and identify opportunities for upsell and product optimization
Build ML models when it is advantageous to explore different approaches over the established models in production

What You Bring

You have a degree in a quantitative field, or equivalent work experience - advanced degree is preferred.
You have 5+ years experience in data science, data analysis, or analytics engineering
You have extensive theoretical and practical understanding of state-of-the-art supervised and unsupervised machine learning methods You know how to write clean, performant code in Python and Pyspark, and have 5+ years experience working with massive real-life datasets You have experience querying relational databases with SQL
You have experience working with cloud tools and technologies in AWS, Azure, Databricks, or GCP
You know how to tell compelling stories with data (dashboarding, building interactive data stories and actionable presentations) You are able to explain very complex algorithms such as ML/AI models, and analyses to non-technical audiences
You are an excellent verbal and written communicator and are comfortable delivering presentations with clear, complete messages You thrive in a remote startup work environment and are excellent at setting clear goals and holding yourself accountable You have experience in identity verification and fraud prevention (strongly preferred)

Technologies We Use

The client analysis team makes extensive use of the following tools, an ideal candidate will have experience with at least some of these tools and be excited to learn to use the other ones.

Python ecosystem (Pyspark, Pandas, Numpy, H2O, SHAP, Seaborn, Jupyter, etc)
Databricks
Airflow
Redshift, Snowflake, S3
Apache Spark, Apache Arrow
Amazon Emr
Looker, Tableau

Please note that Socure is not able to provide sponsorship for this opening, now or in the future.

Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.

Follow Us!

YouTube | LinkedIn | X (Twitter) | Facebook

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About Customer.Io

Over 7,500 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.

Hi there! We’re looking for a Senior Data Scientist to join our central Data team — the Center of Excellence for Data at Customer.io. Our team partners across the business to deliver insights, predictive models, and data-powered strategies that accelerate growth. In this role, you’ll collaborate with Product, Marketing, Sales, and Customer Experience to design and deploy models that forecast outcomes, identify opportunities, and prescribe the best paths forward. You’ll be a trusted advisor who helps shift our company from reporting on the past to predicting and shaping the future.

What We Value

Curiosity and rigor — you dive deep into data, asking the right questions and testing assumptions.
Collaboration and ownership — you partner across functions, take initiative, and see work through to real-world impact.
Applied machine learning — you use statistical and ML models to solve real business problems, not just build for the sake of building.
AI-first mindset — you’re energized by the opportunity to apply predictive and prescriptive analytics in ways that scale across the business and product.
Impact-oriented storytelling — you can distill complex modeling results into clear, actionable insights for executives and operators alike.

What You’Ll Do

Design and deploy predictive models that improve customer acquisition, conversion, and retention (e.g., lead scoring, customer health, product adoption forecasts).
Partner with Product, Revenue, and CX teams to identify opportunities where modeling and experimentation can drive measurable business outcomes.
Build prototypes and production-ready models in Python, leveraging our modern data stack (Snowflake, dbt, etc.) for scalable development and deployment.
Collaborate with data engineering to ensure clean, reliable, and extensible data pipelines for advanced analytics and ML use cases.
Translate modeling outputs into clear recommendations and decision frameworks for senior leaders.
Contribute to the design of analytics capabilities that can extend into our products, creating differentiated customer-facing insights.

What We'Re Looking For

5–7 years of experience in data science, applied machine learning, or advanced analytics, with a proven track record of driving impact.
Strong SQL and Python skills — able to wrangle large datasets efficiently and build end-to-end analyses and models.
Experience with forecasting, classification, or scoring models applied in business contexts.
Familiarity with modern data workflows and tools (dbt, Snowflake, Hex, Streamlit).
Strong communication skills, with the ability to explain complex models and tradeoffs to non-technical stakeholders.
Bonus: experience embedding ML insights into applications or customer-facing products.

Compensation & Benefits

We believe in transparency. Starting salary for this role is $173,000 (or equivalent in local currency) depending on experience and subject to market rate adjustment.

We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.

See full benefits here →

Our Process

No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.

30-minute call with Maria (Recruiter)
45-minute call with Hiring Manager
30-minute calls with 4 potential team members
Take-Home Assignment + 45-minute review call

All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.

Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.

Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io.

Join Us!

Check out our careers page for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.

\n","hiringOrganization":{"@type":"Organization","name":"Customer.io","sameAs":"https://customer.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Americas Remote"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-19","description":"

Haystack News, the number one destination for news on streaming platforms, is looking for a Sr Data Scientist to join our team. Haystack is trusted by over 30 million viewers and is among the fastest-growing TV news companies in the world.

Join our team at Haystack News as a Senior Data Scientist and become a pivotal force in redefining user experiences through cutting-edge algorithm enhancements. In this role, you'll leverage your advanced statistical analysis, causal inference, experimental design (A/B testing) and data analytics expertise to drive substantial improvements in user engagement and retention, directly impacting our product's success. This is an exceptional opportunity to showcase your robust problem-solving capabilities and to thrive in a collaborative environment, working alongside a team of passionate professionals dedicated to innovation and excellence. Be part of a dynamic workplace where your contributions make a meaningful difference and help shape the future of news consumption.

Minimum Qualifications

PhD degree; or M.S. +5 years in Computer Science, Mathematics, Electrical Engineering, Statistics, Economics or Operations Research.
3+ years professional experience applying statistical methods to real product/business problems at scale (leading analysis end-to-end and influencing decisions).
Deep expertise in statistical inference and experimental design: hypothesis testing, power/sample size calculations, variance reduction, etc.
Proficiency in causal inference methods.
Proven ability to translate offline analysis into online impact.
Fluency in the Python analytics stack (pandas, NumPy), statistical modeling (statsmodels or scikit-learn) and machine learning packages such as LightGBM and XGBoost.
Strong experience with SQL (e.g. postgres, snowflake, etc).

Preferred Qualifications:

2+ years of professional experience with large-scale recommender systems (for news feeds, shopping, ads, music, etc).
Hands-on experience with orchestration/transformation tools (e.g. dbt and Airflow).
Experience with deep learning and being familiar with tools such as PyTorch or TensorFlow.
Hands-on development of products/tools incorporating GenAI, LLMs, RAG, and/or Agents.

Responsibilities

Work cross-functionally to translate business problems into testable analyses and experiments.
Have curiosity and apply analytical skills to dive deep into data to find key insights that would impact the business.
Define and evolve trustworthy KPIs and guardrail metrics for user engagement, retention, and monetization.
Develop and deploy machine learning models to make recommendations and influence the product roadmap.
Define and build new ML features using text and multimodal embeddings and GenAI.
Validate offline learnings with online outcomes through AB testing. Design, execute, and analyze experiments to prove product change attribution.

","hiringOrganization":{"@type":"Organization","name":"Haystack News","sameAs":"https://haystack.tv/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Fort Lauderdale Office","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Senior Data Scientist, Product Analytics","datePosted":"2025-09-19","description":"

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 using data, that 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 enabling 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. We were recognized as one of 46 leading Cloud Computing companies, receiving the Stratus Award for 2023. That same year, we also received Google’s Cloud DevOps Dreamers Award, given to companies implementing DevOps practices to drive organizational success and high performance. Lastly, Moloco is a 2024-certified Great Place to Work!

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 gives 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:

\nProduct Analytics Data Science (PDS) is the data science team that works closely with the R&D team on our core Ads product. As a Senior Data Scientist, you will drive performance improvement in our product through a deep understanding of the ads ecosystem (supply, demand, bidding, ML) and customer needs, and provide the data driven insight and scientific solutions.\n

What You’Ll Do:

\nConducting deep-dive analysis to influence R&D decisions and strategies: analyzing large datasets with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could improve Moloco’s complex ML and bidding system to drive outcomes for customers.\n
\nBuilding the right metrics to measure campaign health: improving campaign performance monitoring by establishing the right metric framework, and understanding cause-and-effect relationships across drivers\n
\nEvaluating ads system health: understanding changes and drivers of our complex systems, and diagnosing issues through a set of input/output metrics of each component.\n

Basic Qualifications:

\nDistinctive problem-solving skills, ability to articulate product questions, pulling data from large datasets and using statistics to arrive at a recommendation; ability to manage multiple projects at the same time.\n
\nProven ability to own projects end-to-end, even when you have to get creative: you do more than completing delegated tasks and always pay attention to detail to translate analysis results into business recommendations.\n
\nExcellent verbal and written communication skills, with ability to present information and analysis results effectively.\n
\nStatistics: strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models.\n
\nProgramming: experience with Python, R or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas, Dplyr).\n
\nAbility to build positive relationships within the DS team and with our stakeholders, and work effectively with cross-functional partners in a global company.\n
\n5+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master’s or PhD in a quantitative discipline with 4+ years of experience.\n
\nBachelor’s, Master’s and/or PhD in a quantitative discipline (e.g. Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering).\n

Our Compensation And Benefits (for United States Residents Only)

In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package.

Base Pay Range:$172,000—$220,000 USD

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.

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 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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<Gh-Intro><Text>

We’re looking for a Senior Data Scientist to join Bolt’s Rides Matching domain. You’ll use data to uncover opportunities, frame the right questions, and shape how we verify match drivers and dispatch offers to them. Your work will directly influence marketplace balance, growth, and user experience.

</Text></Gh-Intro>

<Gh-About-Us><Title>About Us</Title>

<Text>

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

</Text>

</Gh-About-Us><Gh-Role-Detail>

<Title>About The Role</Title>

<Text>

Matching is the core of Bolt’s ride-hailing and powers efficient, data-driven, high-scale matching in hundreds of cities across the globe. You’ll lead discovery analyses across search, dispatching, and matching, translate patterns into hypotheses, and partner with product and engineering to design experiments and data-driven changes. Expect to prototype lightweight models where they’re the simplest, highest-leverage tool, keeping the emphasis on problem-finding, evidence, and impact.

</Text></Gh-Role-Detail>

<Gh-Responsibilities>

<title>Main tasks and responsibilities:</title>

<Bulletpoints>

\n\n\n

<point>Probe matching funnels to find friction and opportunity, size the impact, and turn insights into prioritized, testable ideas. </point>
<point>Design and analyze A/B tests, and deliver crisp readouts with recommended decisions.</point>
<point>Prototype lightweight models and decision rules with careful offline/online evaluation and simple monitoring; collaborate with engineers for productionization.</point>
<point>Discover and evaluate new marketplace efficiency features (what drivers to match with, when to match, how long, batch them or not) that improve marketplace efficiency and matching speed; articulate trade-offs and expected impact clearly to stakeholders.</point>

\n\n\n

</Bulletpoints></Gh-Responsibilities>

\n\n

<Gh-Requirements>

<title>About you:</title>

<Bulletpoints>

<point>2-5 years in a data-science or quantitative product role, with strong statistical thinking and curiosity for problem discovery.</point>
<point>Proficient in SQL and Python (Pandas/NumPy; scikit-learn for light modeling); experienced in working with large datasets and communicating trade-offs clearly.</point>
<point>Hands-on with experimentation and with causal/observational reasoning when randomized tests aren’t feasible.</point>
<point>Comfortable turning ambiguous spaces into measurable metrics, hypotheses, and shipped improvements; you default to the simplest approach that moves the needle.</point>

</Bulletpoints><Text>

Experience is great, but we also look for drive, intelligence, and integrity. So, even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above!
</text>
</gh-requirements>

#Li-Hybrid

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🚀 About Lila

Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai.

If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, we encourage you to apply.

🌟 Your Impact at Lila

Join us in shaping the future of science! We are seeking a data scientist with a strong background in life sciences to join our data science team, where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. This role spans web services and data engineering, with a strong emphasis on Python development for scientific applications. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and lab-focused tool building, we want to hear from you!

🛠️ What You'll Be Building

\nWork with scientists to develop tools for lab data. Develop reusable code and libraries to improve efficiency and scalability.\n
\nAlign development with strategic goals, ensuring software supports broader organizational needs.\n
\nParticipate in the entire software development life cycle, focusing on designing, implementing, and maintaining software services.\n
\nManage git repositories, enforce best practices, and foster a collaborative development culture.\n
\nWork directly with scientists and ML stakeholders to identify gaps and unmet needs, and develop tailored software solutions for data analysis, LIMS functionality, and data automation.\n
\nSupport infrastructure as code and design efficient deployment strategies.\n
\nWrite clear, concise documentation for both engineers and end users.\n

🧰 What You’ll Need to Succeed

\nMinimum of 5 years of experience writing tools and workflows in a life sciences setting.\n
\nHigh-level proficiency in Python.\n
\nStrong understanding of git best practices.\n
\nAcute listening skills and patience to deeply understand user challenges.\n
\nExperience implementing scalable software solutions.\n
\nExcellent problem-solving skills and team-first mentality.\n
\nStrong communication skills to effectively collaborate with team members and stakeholders.\n
\nEnergetic self-starter and independent thinker, with strong attention to detail.\n
\nEager to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial, and technical setting.\n

✨ Bonus Points For

\nExperience with workflow orchestration software (e.g., Temporal, Dagster, Prefect).\n
\nHands-on experience with ORMs and web services (SQLModel, FastAPI, Django).\n
\nFamiliarity with data science and ML libraries (pandas, numpy, scipy).\n
\nKnowledge of modern developer tools (pydantic, pyright, uv, poetry).\n
\nUnderstanding of Kubernetes, ArgoCD, and GitHub Actions. Familiarity with AWS fundamentals (e.g., RDS, EC2, S3, EKS).\n

🌈 We’re All In

Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

🤝 A Note to Agencies

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

","hiringOrganization":{"@type":"Organization","name":"Lila Sciences","sameAs":"https://www.lila.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cambridge, MA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"Senior Data Scientist, Life Sciences","datePosted":"2025-09-19","description":"

🚀 About Lila

If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, we encourage you to apply.

🌟 Your Impact at Lila

🛠️ What You'll Be Building

\nWork with scientists to develop tools for lab data. Develop reusable code and libraries to improve efficiency and scalability.\n
\nAlign development with strategic goals, ensuring software supports broader organizational needs.\n
\nParticipate in the entire software development life cycle, focusing on designing, implementing, and maintaining software services.\n
\nManage git repositories, enforce best practices, and foster a collaborative development culture.\n
\nWork directly with scientists and ML stakeholders to identify gaps and unmet needs, and develop tailored software solutions for data analysis, LIMS functionality, and data automation.\n
\nSupport infrastructure as code and design efficient deployment strategies.\n
\nWrite clear, concise documentation for both engineers and end users.\n

🧰 What You’ll Need to Succeed

\nMinimum of 5 years of experience writing tools and workflows in a life sciences setting.\n
\nHigh-level proficiency in Python.\n
\nStrong understanding of git best practices.\n
\nAcute listening skills and patience to deeply understand user challenges.\n
\nExperience implementing scalable software solutions.\n
\nExcellent problem-solving skills and team-first mentality.\n
\nStrong communication skills to effectively collaborate with team members and stakeholders.\n
\nEnergetic self-starter and independent thinker, with strong attention to detail.\n
\nEager to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial, and technical setting.\n

✨ Bonus Points For

\nExperience with workflow orchestration software (e.g., Temporal, Dagster, Prefect).\n
\nHands-on experience with ORMs and web services (SQLModel, FastAPI, Django).\n
\nFamiliarity with data science and ML libraries (pandas, numpy, scipy).\n
\nKnowledge of modern developer tools (pydantic, pyright, uv, poetry).\n
\nUnderstanding of Kubernetes, ArgoCD, and GitHub Actions. Familiarity with AWS fundamentals (e.g., RDS, EC2, S3, EKS).\n

🌈 We’re All In

🤝 A Note to Agencies

","hiringOrganization":{"@type":"Organization","name":"Flagship Pioneering, Inc.","sameAs":"https://www.flagshippioneering.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cambridge, MA USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Senior Data Scientist, RBQM Analytics","datePosted":"2025-09-19","description":"

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

Purpose

Data Science and Analytics is an ambitious team of Data Scientists and Data Engineers with a unique blend of Business, Scientific, and Machine Learning expertise that seeks to unleash the full potential of AbbVie’s data assets by bringing technology and/or data and insights to the forefront of decision making via fit-for-purpose solutions. The Senior Data Scientist role is a key role to enable application of advanced analytics techniques across clinical development processes. Drives Analytics innovation and experimentation to enable data-driven insights for complex business problems across R&D by deploying advanced analytics techniques like Machine Learning and Visual Analytics. Identifies use cases that are appropriate for the application of ML and AI.

Responsibilities

Connects with cross-functional teams to design work product and as an analytics consultant. Anticipates and identifies issues that could affect timelines or quality and develops options and solutions
Leads and helps establish the design principles and standards to ensure analytical work product is consistent across projects where appropriate and that user experience is optimized
In addition to standard statistical methods, develops prototypes, test methods and algorithms. Leverages emerging statistical methodologies, ML and AI to drive innovative analytical solutions to create insights
Enables data-driven insights to support of clinical development, including precision medicine
Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development
Identify business needs and support the creation of standard KPIs, reports, and statistical analyses;
Responsible for coaching and mentoring junior team members
Work side by side with cross-functional teams as an analytics consultant to strategize on how analytics can help evaluate the progress of clinical trials, as well as facilitate discussions around emerging risks. Applies machine learning techniques to validate assumptions and predict future behavior

Qualifications

This is a hybrid opportunity 3x/week in Lake County, IL

Qualifications

Bachelor’s degree statistics, analytics, bioinformatics, data science or equivalent field. Master’s degree preferred
Must have 3-5 years of analytics-related experience in clinical research including demonstrated high-level analytics and leadership competencies.
Advanced career level proficiency in R, Python or other statistical packages. Intermediate-level knowledge of statistical and data mining techniques
Expert proficiency with visualization tools like Spotfire, Tableau or equivalent
Proven expertise with Machine Learning and other advanced analytics techniques
Demonstrated effective communication skills. Demonstrated ability to communicate analytical and technical concepts in layman’s terms
Demonstrated problem-solving and analytical skills
Demonstrated history of successful execution in a fast-paced environment and in managing multiple priorities effectively
Experience working in Cloud Computing environments (e.g., AWS, Azure, etc) is preferred

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our short-term incentive programs.
This job is eligible to participate in our long-term incentive programs

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html

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Company Description

The Red Gate Group, founded in 2006, is a Service-Disabled Veteran-Owned Company based in Chantilly, VA. As an SDVOSB, the Red Gate Group has established a reputation for delivering quality multi-tiered services in intelligence analysis, strategic planning, program management, policy development, operational design, and technology integration. RGG delivers high-quality, customer-centric solutions around the world—from the foxhole to the highest levels of Government. Our motto, \"Making a Difference for Country and Client,\" reflects our deep commitment to national security and service excellence. As an employer of choice, we offer comprehensive benefits including flexible time off, 11 paid holidays, immediate 401(k) eligibility with a generous match, and full medical, dental, and vision coverage through Anthem. Our employees enjoy 100% company-paid life insurance and disability benefits, along with professional development assistance for degrees and certifications. We foster a culture of growth and work-life balance, backed by our commitment to supporting both our clients' missions and our employees' success. Join our team and be part of an organization that values both service excellence and employee wellbeing.

Job Description

The Red Gate Group is seeking a Senior Data Scientist to support the Defense Threat Reduction Agency (DTRA) in Reston, VA. In this role, you’ll combine technical expertise with leadership skills to solve some of the nation’s most critical challenges. You’ll work directly with clients to uncover their toughest questions, explore complex datasets, and design advanced algorithms that deliver clear, actionable insights.

As a Senior Data Scientist, you’ll not only build and deploy cutting-edge models—you’ll also mentor teammates, shape best practices, and lead efforts to translate data into mission impact. This is an opportunity to turn complex, high-volume data streams into meaningful intelligence that drives real-world decisions.

Key Responsibilities

Lead the design and implementation of machine learning models for classification, extraction, summarization, and search.
Work with clients to frame problems, identify data sources, and develop analytic strategies.
Build end-to-end ML workflows, from data preparation and exploration to deployment and evaluation.
Manage large-scale, production-level systems processing millions of streaming documents per week.
Apply expertise in data cleaning, mining, analysis, and visualization to create clear, actionable results.
Collaborate with cross-functional teams, including MLOps and infrastructure engineers, to ensure robust deployment, monitoring, and retraining of models.
Mentor junior team members and guide best practices in data science methodology and implementation.
Stay at the forefront of emerging tools, frameworks, and approaches in AI/ML, NLP, and data science.

Qualifications

3+ years of experience in applied data science or ML roles, including Python, NLP, and LLM implementation.
3+ years of experience with data exploration, cleaning, analysis, visualization, or mining.
Experience with production-level systems, data lake environments, and streaming data (e.g., Kafka).
Proven ability to design, implement, and iterate on ML models in real-world, high-volume environments.
Strong grasp of infrastructure and systems concepts, particularly data pipelines and data lakes.
Experience implementing end-to-end ML workflows from preparation to deployment.
Active Ts/Sci Clearance.
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.

Desired Qualifications

Experience collaborating with MLOps teams on deployment, monitoring, and retraining pipelines.
Familiarity with document indexing, search platforms, GPU workloads, and distributed storage (e.g., Cloudera).
Experience developing algorithms with R, Python, SQL, or NoSQL.
Knowledge of distributed data and computing tools such as Hadoop, Hive, Spark, MapReduce, or EMR.
Hands-on experience with visualization tools like Plotly, Seaborn, or ggplot2.
Security+ Certification.

Additional Information

The Red Gate Group, Ltd. is an Equal Opportunity/Affirmative Action Employer. The Red Gate Group, Ltd. considers applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state, or local law. Know Your Rights

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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 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 experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

About The Job

We partner with teams across the company to apply Google's best data science techniques to Google's biggest enterprise opportunities. We collaborate with Research, Core Enterprise Machine Learning (ML), and ML Infrastructure teams to build solutions for our enterprise.

The Google Technology Enterprise (GTE) Data Science team's mission is to transform Google Enterprise business operations, supply chain, Information Technology (IT) support, and internal tooling with Artificial Intelligence (AI) and Advanced Analytics. We enable operations and product teams to succeed in their advanced analytics projects through the use of differing engagement models, ranging from consulting to productionizing and deploying models. We also build cross-functional services for use across Corporate Engineering (Corp Eng) and educate product teams on advanced analytics and machine learning.

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.
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

Provide problem-solving thought leadership through proactive and strategic contributions; consistently use insights and analytics to drive decisions and alignment throughout the organization.
Work in a team covering problem definition, metrics development, data extraction and manipulation, visualization, creation, implementation of analytical/statistical models, and presenting to stakeholders.
Define and report Key Performance Indicators (KPIs) and launch impact as part of regular business reviews with the cross-functional and cross-organizational leadership team. Translate analysis results in business insights or product improvement opportunities. Work with Product Managers, User Experience, and Engineers to contribute to metric-backed annual and quarterly OKR settings.
Improve experimentation velocity and analysis turnaround time through adoption of self-service tools and improved processes.
Design and develop cutting-edge machine learning models to solve complex problems within the Enterprise Support space that solve actual business problems for Google.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, USA; Austin, TX, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-19","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.

Experience : 5 to 7 Years

Work Location : Hyderabad

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.

Company Description

Job Description

Experience : 5 to 7 Years

Work Location : Hyderabad

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.

Company Description

Job Description

Experience : 5 to 7 Years

Work Location : Hyderabad

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.

Company Description

Job Description

Experience : 5 to 7 Years

Work Location : Hyderabad

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.

","hiringOrganization":{"@type":"Organization","name":"Blend360","sameAs":"https://blend360.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, TS, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":18,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-19","description":"About the roleAs a Senior Data Scientist, you will be a key part of our Product Analytics & Conversion Rate Optimization team. You will use your expertise in statistics, experimental design, and AI/ML to optimize our websites, photo editor applications, and marketing efforts. This role is a unique opportunity to help shape our data science practice as we continue to grow and build our capabilities.
\n

How You Embrace Curiosity Daily

Research, design, and build sophisticated AI/ML models to solve complex business problems.
Develop and implement advanced analytics methodologies to accurately measure the effects of our initiatives.
Work with stakeholders to understand business goals and take ownership of projects from start to finish.
Build models using best practices for MLOps and Data Science.
Collaborate with product owners, analysts, and ML engineers to align on project goals and technical solutions.
Identify and propose new data science solutions and analytics methodologies.

How You Make Your Mark

Deliver tangible business value by connecting your analytical findings to commercial outcomes.
Take ownership of the entire machine learning lifecycle from data cleaning to model deployment and monitoring.
Influence the future of our data science practice by identifying opportunities to improve our MLOps platform and data infrastructure.
Ensure the smooth operationalization of your work by preparing clear requirements for data and ML engineering teams.

What You Bring To The Team

3-5 years of experience in a data science role within a commercial environment.
Hands-on experience with the full machine learning lifecycle.
Proven expertise in experimental design, causal inference, and advanced statistical analysis.
Experience with collaborative code development, including version control and code review.
Proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, Snowflake, and MLFlow.
Strong business intuition and communication skills.

What Sets You Apart

A Master’s or Ph.D. in a quantitative field like Computer Science, Statistics, or Mathematics.
Experience with web analytics data such as Adobe Analytics or Google Analytics.

Equal Opportunities & Right to Work
Storio Group is an equal opportunity employer, celebrating diversity and fostering an inclusive environment. We're committed to making reasonable adjustments for disabilities during interviews—just contact our HR team. Applicants must also have the legal right to work in the position's country without requiring sponsorship.","hiringOrganization":{"@type":"Organization","name":"Storio Group","sameAs":"https://www.storiogroup.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Amsterdam, NL","addressCountry":"The Netherlands","addressRegion":"Europe"}}}},{"@type":"ListItem","position":19,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-19","description":"

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.

In 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)

Additionally, in a world of AI, we want our candidates to understand our approach to the use of AI during the interview and hiring process, so we'd appreciate you reading our AI usage guide.

","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":20,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-19","description":"We are looking for our first Data Scientist. You are a highly motivated individual contributor. You will define a data-driven-culture across our consumer product and developer platform. You will define our north star metrics and establish source-of-truth dashboards that the entire team can use to answer their own growth, product and research questions. You should expect to be working cross functionally across product, growth and research.
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":21,"item":{"@type":"JobPosting","title":"Senior Data Scientist –Gen AI Chatbot","datePosted":"2025-09-19","description":"

📍 Sydney, NSW | 💼 Full-Time | 🧠 Data Science | 🆕 New Squad Opportunity

About The Role:

Join a newly formed, forward-thinking squad focused on building Gen AI-powered chatbot solutions to transform dispute processing and fraud detection.

This is a greenfield opportunity to design intelligent agent workflows using GPT-4 and LLMs, with a direct impact on customer experience and operational efficiency.

Key Responsibilities:

Develop Gen AI chatbots for dispute types using agentic workflows.
Integrate a first-party fraud detection model to introduce intelligent friction in claims lodgement.
Collaborate with cross-functional teams including fraud, product, and engineering.
Apply LLM technologies (e.g., GPT-4, LangChain) for prompt engineering, RAG, and guardrail design.
Produce clear documentation and communicate effectively with stakeholders.

What You’Ll Bring:

Proven experience in Gen AI, chatbot development, and LLMs.
Strong foundation in statistics and probability; able to interpret models.
Proficiency in Python and experience with AI/ML model development.
Excellent communication skills for documentation and stakeholder engagement.
Tertiary qualification in Data Science, Statistics, Computer Science, or a related field.
Experience in fraud modelling or financial services.
Familiarity with agentic workflows and multi-agent LLM systems.
Exposure to dispute resolution or claims processing systems.
Be part of a brand-new initiative — no legacy systems, full creative freedom.

Nice To Have:

Why Join Us?

Work with cutting-edge Gen AI technologies in a high-impact domain.
Collaborate with a passionate team driving innovation in customer experience and fraud prevention.

If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.

Advertising End Date: 25/09/2025","hiringOrganization":{"@type":"Organization","name":"Commonwealth Bank","sameAs":"https://www.commbank.com.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Melbourne, VIC - 357 Collins Street, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-19","description":"

What will you be doing

Use sophisticated statistical and machine learning techniques to identify new trends and relationships in data.
Create high-quality project plans to help shape the future of the team.
Harvest, wrangle and prototype new data sources internally and external to NewDay to create new value for NewDay and our customers.
Provide quality and detailed data science outputs, sharing and following up with as much detail as appropriate or requested by senior managers.
Develop knowledge of all relevant data resources within NewDay and in the wider Credit Industry.
Governance: support the models throughout their lifecycle from conception, development, implementation, testing and monitoring, with the required level of documentation to follow internal procedures and standards.

Skills And Experience

Essential

University degree in a highly analytical discipline (data science, mathematics, physics, economics, and similar disciplines).
Demonstrated experience designing, building and assisting in the deployment and monitoring of a diverse range of ML models in real-world business settings.
Strong proficiency creating models in Python and a solid understanding of SQL for data extraction, transformation and analysis.
Ability to present sophisticated and detailed findings clearly, adapting the level of detail to the audience, paired with strong interpersonal and written communication skills.
Previous experience leading and mentoring others—either formal or informal—showing a willingness to support growth and development.
Experience in proactively engaging with business stakeholders to scope and define projects.
Knowledge of version control systems, particularly Git, with experience managing codebases and collaborating in team environments.
Nice to haves: experience with one or more of credit risk, collections risk, affordability, IFRS9 and customer credit behaviours models.

Desirable

Be self-motivated and comfortable working in a fast-paced environment where priorities evolve.
Have a strong sense of accountability and ownership, with great organisational, planning and time management skills.
Have great team spirit, supporting team and colleagues on tasks big and small.
Enthusiasm for exploring emerging/existing areas of ML, with a drive to bring fresh, innovative ideas and approaches into the business.

Your Personal Attributes

Naturally Curious
You are a relentlessly positive person; you see opportunities not issues
Self-starter who can resolve ambiguity and plot a path forward
Self-reflective, with the drive to continuously find opportunities for improvement
Superb communicator who can flex your style according to the needs of the audience
Good attention to detail
Able to empathise with team-members and business partners
We work with Textio to make our job design and hiring inclusive.

#Li-Hybrid

#Li-Tm1

Permanent","hiringOrganization":{"@type":"Organization","name":"NewDay","sameAs":"https://newday.co.uk/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-19","description":"

Job Title :Senior Data Scientist

Location : Bangalore, India

About Unilever:

Be part of the world’s most successful, purpose-led business. Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities around us. We promote innovation, big and small, to make our business win and grow; and we believe in business as a force for good. Unleash your curiosity, challenge ideas and disrupt processes; use your energy to make this happen. Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best. Every day, nine out of ten Indian households use our products to feel good, look good and get more out of life – giving us a unique opportunity to build a brighter future.

Every individual here can bring their purpose to life through their work. Join us and you’ll be surrounded by inspiring leaders and supportive peers. Among them, you’ll channel your purpose, bring fresh ideas to the table, and simply be you. As you work to make a real impact on the business and the world, we’ll work to help you become a better you.

About Uniops:

Unilever Operations (UniOps) is the global technology and operations engine of Unilever offering business services, technology, and enterprise solutions. UniOps serves over 190 locations and through a network of specialized service lines and partners delivers insights and innovations, user experiences and end-to-end seamless delivery making Unilever Purpose Led and Future Fit.

Main Purpose Of The Job:

The Senior Data Scientist improves business performance in the functional area of Unilever they serve, through the application of world class data science capability. They own delivery of data science on moderate projects or specific modules of a major global initiative.

Key Accountabilities:

Interact with relevant teams to identify business challenges where data science can help
Apply comprehensive data science knowledge to propose optimal techniques for key business challenges
Create detailed data science proposals and project plans, flagging any limitations of proposed solution
Design and prototype experimental solutions, particularly machine learning models
Design scaled solutions and ensure high quality and timely delivery
Facilitate industrialization and ongoing operation of solutions through well organised code, clear documentation and collaboration with ML Ops resources
Govern the work of 3rd party vendors where needed to support delivery, while maximising creation of Unilever IP
Represent Data Science in cross-functional governance of projects, engaging with stakeholders up to Director level
Highlight recent developments in data science capability which could solve additional challenges
Lead a team of up 1-2 data scientists / interns, providing career mentorship and line management
Provide technical guidance to data scientists across D&A, particularly on the projects you lead
Support the growth of D&A’s data science capability by contributing to activities such as tool and vendor selection, best practice definition, recruitment, and creation of training materials
Build the reputation of D&A’s data science capability within Unilever and externally, through activities such as community engagement (e.g. Yammer), publications or blogs
Provide ad-hoc & immediate support to the business when needed (for example Covid-19 crisis support)
Depending on the specific project, the Senior Data Scientist can expect 60-90% of their work to be hands-on prototyping solutions, with the remainder spent planning and designing, overseeing and reviewing work of project staff, interfacing with stakeholders and managing team members.

Key Skills Required

Professional Skills

Machine learning - Expert
Statistical modelling - Expert
Forecasting - Expert
Optimisation techniques and tools - Fully Operational
Python coding - Fully Operational
Data science platform tools e.g. MS Azure, Databricks - Fully Operational
Deep learning (and applications to NLP & Computer Vision) - Fully Operational
Collaborative development using Git repos - Fully Operational
Automated Machine Learning platforms - Foundational knowledge

While a broad data science technical background is required, the role will benefit from deeper skills (for example graduate studies or prior work experience) in one of the following areas, optimization, simulation, forecasting, natural language processing, computer vision or geospatial analysis.

General Skills

Project Management - Expert
Communication / presentation skills - Expert
3rd party resource management - Expert
CPG Industry analytics - Expert

Strong communication and stakeholder engagement skills are essential, including the ability to influence peers and senior business stakeholders across Unilever.

Relevant Experience:

Minimum of B.E. in a relevant technical field (e.g. Computer Science, Engineering, Statistics, Operations Research); preferably a postgraduate (Masters or Doctorate) degree
At least 4 years building data science solutions to solve business problems, preferably in the CPG industry (less experience may be acceptable if balanced by strong post-grad qualifications)
Experience with open source languages (eg. Python) and preferably with distributed computing (PySpark)
Experience deploying solutions in a modern cloud-based architecture
Experience managing the work of team members and 3rd party resource vendors
Experience presenting insights and influencing decisions of senior non-technical stakeholders
Unilever operational, marketing, customer development, supply chain, product & finance teams
Internal D&A teams (Engagement teams; Data CoE; Solution Factory; BDL Factory; Information Factory; Tech Transformation)
Wider Unilever analytics and data science professionals
3rd party Data Science vendors
Our commitment to Equality, Diversity & Inclusion

Key Interfaces

Internal

External

Universities
Industry Bodies

Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.

Note: \"All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent—please verify before proceeding.\"

","hiringOrganization":{"@type":"Organization","name":"Unilever","sameAs":"https://www.unilever.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"UniOps Bangalore Centre, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":24,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-19","description":"

Job Location

WARSAW DOWNTOWN OFFICE

Job Description

We are looking for a passionate Senior Data Scientist who is eager to make an impact on their career and take on a new challenge!

P&G Scaled Data Science Hub in Warsaw is dynamically growing and making impact across most key algorithmic investments of the Company. We work across problems and algorithmic products related to Retail, Media, Digital commerce, R&D, Supply Chain, Productivity, Knowledge management and others. With the growth, we are happy to offer Senior Data Scientist roles.

In your role, you will take ownership of a particular business space with algorithmic model needs. As a Senior Data Scientist, you are expected to own the algorithmic evolution roadmap and be a thought leader on algorithmic enablement of IT products, as well as share knowledge and mentor other data scientists where applicable. We work all across traditional machine learning, deep learning, GenAI, optimization models, statistical models, adopting methods as required for the problem. To do your job well, you will need to build solid business understanding of your problem space.

In Warsaw Hub we specialize in developing and bringing algorithms to scale, always keeping impact, value, resilience, and reliability in mind. Our work impacts P&G's 100k+ employees and billions of consumers around the world.

You will join a renowned company improving lives of billions of consumers by applying data science. You’ll be welcomed within a 200+ global team of Data Scientists across US, Panama, Switzerland, Belgium, Poland, Singapore, India and China. You will be able to network and learn from scientists with diverse backgrounds and seniorities. On top, in our Warsaw Hub, we do plenty of knowledge sharing on a weekly basis and have a unique job setup which will allow you to experience data science beyond your own key scope of responsibilities.

Our best-in-class P&G AI Factory platform you will use is an example taught about by Harvard Business School, and we continuously improve our developer experience, thanks to our strong AI Engineering team.

With us you will

Partner with product teams and business leaders to fully understand the problem, and AI & data engineering teams to automate & deploy your models into applications
Develop your insights to steer the algorithmic evolution roadmap in your area of ownership
Analyze and model on big datasets – e.g., translating 1.5TB daily consumer touchpoints and 500 million consumers' behaviors to actionable recommendations
Answer business questions and propose solutions for business problems by applying machine learning techniques and algorithms
Further develop understanding of machine learning, statistics, optimization, GenAI, and other advanced analytical models – and how to apply them to real-world problems
Further learn what it takes to build and maintain a resilient algorithmic pipeline that passes the test of time, and what it takes for an algorithm to materialize its impact and value
Write production-grade code applying best practices

Job Qualifications

At least a Master's in a quantitative degree (Statistics, Operations Research, Systems Engineering, Computer Science, Applied Math, Economics), Bachelor's/Engineer degree with sufficient consecutive data science experience
At least 5 years of experience in Data Science, with at least 3 years of experience with production-grade Data Science / algorithmically enabled applications
Solid code writing capabilities - Python and Spark are preferable
Strong technical & analytical skills (SQL, optimization, simulation, predictive modeling etc)
Proven success in leadership, problem solving,and and prioritising
Strong collaboration skills and working comfortably across teams
Desired experience with Big Data ecosystem: Databricks, Spark, BigQuery
Basic understanding of Business Intelligence Tools such as Power BI, Tableau
Experience with Agile DevOps, Github, Jira, Confluence

Nice To Have

What We Offer

Work in an international Data Science team with global responsibilities (with a large part of the engineering and product teams located in Warsaw)
Long-term career with development and growth opportunities
Competitive salary and benefits program (private health care, life insurance, P&G stock options, saving plans, lunch subsidy, sports cards, in-office fitness center)
Relevant trainings, certifications, and conference participation
Internal coaching programs & training
Flexible Working Arrangements

Who We Are

P&G was founded over 180 years ago as a simple soap and candle company. Today, we’re the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We’ve spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams has helped us grow into a global company that is governed responsibly and ethically, that is open and transparent, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.

We commit to provide you with equal opportunities in employment! We value diversity and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

At Procter & Gamble, we embrace a hybrid work model that combines the flexibility of remote work with the collaborative benefits of in-office engagement. Employees can enjoy the option to work from home two days a week while also spending time in the office to foster teamwork and enhance communication.

Kindly be advised that at P&G, employment is exclusively extended on the basis of \"Umowa o Pracę\" (Full-time Employment Contract). Apply only if you agree to these conditions.

Job Schedule

Full time

Job Number

R000135222

Job Segmentation

Experienced Professionals","hiringOrganization":{"@type":"Organization","name":"Procter & Gamble","sameAs":"https://pg.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"WARSAW DOWNTOWN OFFICE, Poland","addressCountry":"Poland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-19","description":"

Manulife is a leading international financial services provider, helping people make decisions easier and lives better. Help shape the future you want to see — and discover that better can take you anywhere you want to go.

Responsibilities:

Develops and implements analytics enabled solutions to improve business process, to generate insights, support business goals and strategy development
Owns and delivers projects of diverse scope.
Oversees the work of more junior data scientists.
Works on problems of diverse scope / complexity where analysis of situations or data requires an in-depth evaluation of a variety of factors
Strong ability to generate relevant, actionable insights based on iterative data analysis, translate data-driven output into business language, and to make appropriate recommendations to respective business stakeholders
Independently provides analysis on datasets of significant complexity.
Quickly able to develop enough business insight to connect data sources across multiple diverse and complicated systems.
Recommends implementable solutions to (or in collaboration with) business partners.
Considers change management in all aspects of their work.
Supports more junior data scientists with Change Management.
Has intimate understanding of the business value chain and customer lifecycle for a line of business or more.
Has fundamental understanding of the business as a whole, and has started to build a network of people for ideation, info sharing, knowledge.
Understands the corporate climate and culture Strong knowledge of the business
Engages in ongoing discussions and moves others towards a position, appealing to their needs and interests to gain acceptance
Maintains a strong internal network, begins to network with more senior stakeholders within the organization.
Begins to develop an external network and develop their own brand, particular in their own practice area.
Actively involved in recruitment of data science professionals (campus etc.0
Shares ideas with others, leads brainstorming sessions.
Contributes to solutions outside immediate area of expertise.
Actively seeks out coaching and incorporates feedback into their work.
Provides guidance and mentorship to more junior data scientists.
Promotes best practices within the team.
Shares technical expertise with others.
Owns their career development.
Takes advantage of available resources to advance their technical and business skills.
Understands how their project supports broader business strategy, including the core drivers of business value.
Able to prepare a business case on the benefits of their assigned work.
Incorporates lessons learned throughout the business into their work.
Engages with global counterparts to share learnings.

Strong ability to construct systematic process to implement analytics insights and solutions, this includes (but not limited to):

designing a process with multiple relevant parties with clear specifications of roles and responsibilities
identifying required tasks, system / data flow and contingency
specifying check-and-balance throughout the process
establishing rigorous tracking and closed-loop learning
implement such process in a scalable way

Requirements:

Advanced degree in Statistics, Math, Computer Science, or Engineering; or Bachelor’s degree with equivalent technical experience
Minimum of 5 years of applicable experience Advanced knowledge of programming languages and concepts ( SAS, SPSS, R (different modules) or Python)
Expert in basic and advanced statistical tests, distributions, maximum likelihood estimators, statistical modelling techniques (regression, cluster / factor / principle components, decision tree, survival analysis, etc.
Advanced knowledge of different techniques and knowledge of machine learning algorithms.
Basic knowledge of AI toolkits.
Expert in data visualization tools such as Tableau, QlikView, open source data visualization libraries - ggplot and d3.js
Advanced knowledge of common database querying languages such as SQL.
Capability of applying a systematic, structured approach to explore / navigate / mine massive amount of data, structured or un-structured, to uncover hidden patterns / insights.
Strong working knowledge of relational database models (data vaulting techniques, rules tables).

When You Join Our Team:

We’ll empower you to learn and grow the career you want.
We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
As part of our global team, we’ll support you in shaping the future you want to see.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact recruitment@manulife.com.

Working Arrangement

Hybrid","hiringOrganization":{"@type":"Organization","name":"Manulife","sameAs":"https://www.manulife.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chengdu, Manulife Information and Technology Center, China","addressCountry":"China","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-18","description":"\n

Many of the world’s top engineers, technologists, and scientists come together in our Water business because they see infrastructure not just as systems, but as opportunities to serve people and protect the environment. Our Management & Technology Consulting (MTC) team helps utilities and public agencies solve complex challenges at the intersection of data, technology, and operations.

We deliver modern solutions through a mix of advanced analytics, machine learning, data engineering, GIS, cloud platforms, and operational consulting. We're a fast-growing, multidisciplinary team that partners with clients to reimagine how they plan, operate, and improve critical infrastructure.

\n\n

Your Opportunity

We are seeking a Senior Data Scientist to join our Management & Technology Consulting team. This role will focus on designing, developing, and deploying data science solutions that support asset management, operations, and decision-making—turning raw data into actionable insights through analytics, machine learning, and predictive modeling.

\n\n

In addition to technical development work, this person will collaborate directly with clients to define use cases, shape digital transformation strategies, and modernize how public agencies and utilities harness data to improve performance and resilience. This is a highly collaborative, client-facing role ideal for someone who thrives at the intersection of advanced analytics, business strategy, and technology implementation.

\n\n

Key Responsibilities

Design and deliver end-to-end data science solutions, including predictive models, optimization algorithms, and decision-support dashboards.
Work with clients to identify high-value use cases for AI/ML, data analytics, and digital transformation.
Develop data pipelines, statistical models, and machine learning workflows to address infrastructure, environmental, and operational challenges.
Collaborate within multidisciplinary teams of engineers, GIS specialists, and consultants to integrate analytics into enterprise workflows.
Translate complex datasets into compelling visualizations and narratives that drive decision-making.
Build, validate, and deploy models in production environments (cloud and on-premises), ensuring scalability and reliability.
Support business development activities including scoping, client presentations, and proposal development.

\n\n

Technical Skillsets We’Re Looking For:

Proficiency in Python (preferred), R, or similar languages for data science and machine learning.• Experience with ML frameworks such as scikit-learn, TensorFlow, PyTorch, or similar.• Strong data engineering skills (ETL pipelines, SQL, Spark, or cloud-native tools such as Azure Data Factory or AWS Glue).• Knowledge of cloud environments (Azure, AWS, GCP) and MLOps practices for deploying models.• Experience with geospatial analytics, spatial data processing, and GIS platforms (Esri preferred).• Ability to integrate analytics with business intelligence tools (e.g., Power BI, Tableau) for interactive insights.

Industry & Strategic Experience:

Consulting experience with utilities, local governments, or public infrastructure agencies.
Understanding of digital transformation frameworks, including how analytics supports organizational change.
Experience applying predictive analytics to asset management, operations optimization, or risk management
Familiarity with asset lifecycle management, ISO 55000 principles, and performance-based decision-making.
Experience facilitating workshops or co-developing analytics strategies with clients.

Personal Characteristics:

Analytical and strategic – You can dive into the data while connecting insights to big-picture outcomes.
Versatile – You’re comfortable moving between statistical modeling, data engineering, and client-facing discussions
Client-focused – You know how to communicate complex ideas clearly and build trust.
Collaborative – You value diverse expertise and thrive in multidisciplinary teams.
Proactive – You take ownership of problems, identify opportunities, and drive solutions forward.

Education And Experience

Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or related field. Master’s or PhD preferred.
8+ years of progressive experience in data science, advanced analytics, or machine learning (consulting environment preferred).
Experience leading data science projects from ideation to deployment.
Prior experience working with public sector or utility clients is a plus.

\n\n

This role may require up to 15% travel. A valid driver's license and satisfactory driving record are required. This description is not a comprehensive listing of activities, duties or responsibilities that may be required of the employee and other duties, responsibilities and activities may be assigned or may be changed at any time with or without notice.

Stantec is a place where the best and brightest come to build on each other’s talents, do exciting work, and make an impact on the world around us. Join us and redefine your personal best.

","hiringOrganization":{"@type":"Organization","name":"Stantec","sameAs":"https://www.stantec.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sarasota, FL, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":27,"item":{"@type":"JobPosting","title":"Search - Workchat - Senior Data Scientist","datePosted":"2025-09-18","description":"

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

What Is The Role:

The Search Conversational Experiences team builds Elastic’s new conversational (agentic) platform that lets customers chat with their own data in Elasticsearch. We own the quality layer for RAG, agents and tools, retrieval/citations, streaming, memory, and—crucially—the evaluation signals that turn open-ended questions into grounded, reliable answers. As a Senior Data Scientist, you’ll be part of a cross-functional team (backend, DS, PM, UX) driving chat quality end-to-end: designing and running evaluation pipelines, improving prompts and tool behaviors, and turning measurements into product decisions that customers can feel.

You’ll help tackle frontier problems—folding RAG and vector search into an agent’s knowledge base, dynamically enriching model context to boost groundedness, shaping agent routing and tool selection policies, lighting up agent-driven visualizations on top of Elasticsearch data, and exploring multimodality and reasoning strategies where they truly move the needle. This is an applied role: you will prototype, evaluate, and partner with engineers to ship.

What You Will Be Doing:

Design and maintain offline/online evaluation pipelines for conversational search: golden sets, rubric/LLM-as-judge calibration, groundedness/citation checks, and A/B tests.
Build and compare retrieval & re-ranking baselines (sparse + dense), query understanding, and semantic rewrites; land improvements with clear metrics.
Use results to drive product decisions: model selection, efficient agent routing, tool gating, and agent customization for Elastic use cases in search and beyond.
Instrument dashboards and telemetry so helpfulness, faithfulness, latency, and cost trade-offs are visible and trustworthy; guard against regressions in CI.
Collaborate tightly with backend engineers on contracts (ES|QL, citations, telemetry), and with PM/UX to translate findings into shipped features.
Share outcomes clearly (docs, notebooks, PRs) and mentor peers in experiment design and evaluation craft.

What You Will Bring:

5–8 years in applied DS/ML with strong IR/NLP experience (RAG, dense/sparse retrieval, re-ranking, vector search).
Proficiency in Python, PyTorch/Transformers, Pandas; reproducible experiments (e.g., MLflow), versioned datasets, and clean, reviewable code.
Hands-on evaluation expertise: offline metrics (nDCG/MRR/Recall@k), LLM-as-judge calibration, groundedness/citation scoring, and online A/B testing.
Experience turning experimental results into clear product calls (models, routing, tools) and communicating them crisply to cross-functional partners.
Practical Elasticsearch experience (or similar); ES|QL familiarity is a plus.
Comfort working in a distributed, async-first environment; strong written communication; low-ego collaboration.

If this sounds interesting, we would love to hear from you! Please include whatever info you believe is relevant: resume, GitHub profile, code samples, blog posts and writing samples, links to personal projects, etc.

Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below.

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

The typical starting salary range for this role is:$128,300—$203,000 CAD

Additional Information - We Take Care Of Our People

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

Competitive pay based on the work you do here and not your previous salary
Health coverage for you and your family in many locations
Ability to craft your calendar with flexible locations and schedules for many roles
Generous number of vacation days each year
Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
Up to 40 hours each year to use toward volunteer projects you love
Embracing parenthood with minimum of 16 weeks of parental leave

Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission.

Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)

Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.

Please see here for our Privacy Statement.

","hiringOrganization":{"@type":"Organization","name":"Elastic","sameAs":"https://www.elastic.co/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":28,"item":{"@type":"JobPosting","title":"Search - Workchat - Senior Data Scientist","datePosted":"2025-09-18","description":"

What Is The Role:

What You Will Be Doing:

Design and maintain offline/online evaluation pipelines for conversational search: golden sets, rubric/LLM-as-judge calibration, groundedness/citation checks, and A/B tests.
Build and compare retrieval & re-ranking baselines (sparse + dense), query understanding, and semantic rewrites; land improvements with clear metrics.
Use results to drive product decisions: model selection, efficient agent routing, tool gating, and agent customization for Elastic use cases in search and beyond.
Instrument dashboards and telemetry so helpfulness, faithfulness, latency, and cost trade-offs are visible and trustworthy; guard against regressions in CI.
Collaborate tightly with backend engineers on contracts (ES|QL, citations, telemetry), and with PM/UX to translate findings into shipped features.
Share outcomes clearly (docs, notebooks, PRs) and mentor peers in experiment design and evaluation craft.

What You Will Bring:

5–8 years in applied DS/ML with strong IR/NLP experience (RAG, dense/sparse retrieval, re-ranking, vector search).
Proficiency in Python, PyTorch/Transformers, Pandas; reproducible experiments (e.g., MLflow), versioned datasets, and clean, reviewable code.
Hands-on evaluation expertise: offline metrics (nDCG/MRR/Recall@k), LLM-as-judge calibration, groundedness/citation scoring, and online A/B testing.
Experience turning experimental results into clear product calls (models, routing, tools) and communicating them crisply to cross-functional partners.
Practical Elasticsearch experience (or similar); ES|QL familiarity is a plus.
Comfort working in a distributed, async-first environment; strong written communication; low-ego collaboration.

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

The typical starting salary range for this role is:$133,100—$210,600 USDThe typical starting salary range for this role in the select locations listed above is:$159,900—$252,900 USD

Additional Information - We Take Care Of Our People

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

Competitive pay based on the work you do here and not your previous salary
Health coverage for you and your family in many locations
Ability to craft your calendar with flexible locations and schedules for many roles
Generous number of vacation days each year
Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
Up to 40 hours each year to use toward volunteer projects you love
Embracing parenthood with minimum of 16 weeks of parental leave

Please see here for our Privacy Statement.

","hiringOrganization":{"@type":"Organization","name":"Elastic","sameAs":"https://www.elastic.co/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":29,"item":{"@type":"JobPosting","title":"Search - Workchat - Senior Data Scientist","datePosted":"2025-09-18","description":"

What Is The Role:

What You Will Be Doing:

Design and maintain offline/online evaluation pipelines for conversational search: golden sets, rubric/LLM-as-judge calibration, groundedness/citation checks, and A/B tests.
Build and compare retrieval & re-ranking baselines (sparse + dense), query understanding, and semantic rewrites; land improvements with clear metrics.
Use results to drive product decisions: model selection, efficient agent routing, tool gating, and agent customization for Elastic use cases in search and beyond.
Instrument dashboards and telemetry so helpfulness, faithfulness, latency, and cost trade-offs are visible and trustworthy; guard against regressions in CI.
Collaborate tightly with backend engineers on contracts (ES|QL, citations, telemetry), and with PM/UX to translate findings into shipped features.
Share outcomes clearly (docs, notebooks, PRs) and mentor peers in experiment design and evaluation craft.

What You Will Bring:

5–8 years in applied DS/ML with strong IR/NLP experience (RAG, dense/sparse retrieval, re-ranking, vector search).
Proficiency in Python, PyTorch/Transformers, Pandas; reproducible experiments (e.g., MLflow), versioned datasets, and clean, reviewable code.
Hands-on evaluation expertise: offline metrics (nDCG/MRR/Recall@k), LLM-as-judge calibration, groundedness/citation scoring, and online A/B testing.
Experience turning experimental results into clear product calls (models, routing, tools) and communicating them crisply to cross-functional partners.
Practical Elasticsearch experience (or similar); ES|QL familiarity is a plus.
Comfort working in a distributed, async-first environment; strong written communication; low-ego collaboration.

Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below.

The typical starting salary range for this role is:$128,300—$203,000 CAD

Additional Information - We Take Care Of Our People

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

Competitive pay based on the work you do here and not your previous salary
Health coverage for you and your family in many locations
Ability to craft your calendar with flexible locations and schedules for many roles
Generous number of vacation days each year
Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
Up to 40 hours each year to use toward volunteer projects you love
Embracing parenthood with minimum of 16 weeks of parental leave

Different people approach problems differently. We need that. Elastic is an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co We will reply to your request within 24 business hours of submission.

Please see here for our Privacy Statement.

","hiringOrganization":{"@type":"Organization","name":"Elasticsearch","sameAs":"https://www.elastic.co/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Canada; Greece; Spain; Sweden; United Kingdom","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":30,"item":{"@type":"JobPosting","title":"Senior Data Scientist, Risk Data Mining - USDS","datePosted":"2025-09-18","description":"The USDS-Platform and Community Integrity (PaCI) team is missioned to:
\n- Protect U.S. TikTok users, including and beyond content consumers, creators, advertisers;
\n- Secure platform health and community experience authenticity;
\n- Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders.
\n
\nThe PaCI team works to minimize the damage of inauthentic behaviors on TikTok platforms, covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti-spam, API abuse, growth fraud, live streaming security and financial safety, etc. In this team, you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure, and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolution of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to make quick and solid differences.
\n
\nIn order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
\n
\nResponsibilities:
\n- Build rules, algorithms and machine learning models, to respond to and mitigate business risks in TikTok products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc.
\n- Analyze business and security data, uncover evolving attack motion, identify weaknesses and opportunities in risk defense solutions, explore new space from the discoveries.
\n- Define risk control measurements. Quantify, generalize and monitor risk related business and operational metrics. Align risk teams and their stakeholders on risk control numeric goals, promote impact-oriented, data-driven data science practices for risks.","hiringOrganization":{"@type":"Organization","name":"TikTok","sameAs":"https://www.tiktok.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle, Washington, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":31,"item":{"@type":"JobPosting","title":"(Senior) Data Scientist (m/f/d)","datePosted":"2025-09-18","description":"

At Machine Learning Reply Austria  we strive to work on leading-edge technology projects with our clients for which we are seeking Data Science consultants with a strong technical background.

Machine Learning Reply, with its sister companies in Italy and Germany and over 15000 employees at Reply globally, is a fast-growing consultancy focused on solving problems with Web Development, Cloud technologies, Data Platforms and the right organisational frameworks as their backbone. We are a tight knit, laid back, but seriously motivated unit that aims to be involved at conferences and in community of practice with our tech partners.

We offer tailor-made end-to-end cloud-based solutions that cover the entire project life cycle - from initial strategy consulting to data architecture and infrastructure issues to data processing and deployment of production-ready solutions.

We have a vast expertise in every step of the product implementation spectrum in all key industries of the German HDAX-companies. With focus on open source and cloud technologies we enable our customers to successfully introduce and implement new data-driven solutions and to optimise already existing processes and products while simultaneously adapting to cloud technologies

Tasks

You are responsible for customised end-to-end solutions in the field of data science that cover the entire project cycle at the customer. Data architecture, infrastructure topics or quality assurance with machine learning algorithms are your passion.

Stay up to date on the cutting edge of technology and work together with market-leading technology companies
Be the point of connection between the technical team and management realising business needs
Identify and analyse problem solutions and discuss them with the customer.
Propose and discuss effective solutions and develop, optimise and deploy them into production
Develop state-of-the-art algorithms, implement them and automate workflows in an agile environment

What We Offer You:

We offer you for this position according to the collective agreement for employees in data processing and information technology a gross monthly salary of at least € 3215 (Consultant) or € 4286 (Senior Consultant) depending on your previous experience.
Access to work on projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc.)
Very active group social program - including conference funding, team building, group events, Reply Exchange
Recognition for Innovation to foster your personal development
Work in an open, flat environment, within a broad Reply knowledge sharing network (more than 90 autonomous Reply groups across 8 countries)
Home-Office Contracts
State-Of-The-Art Work Equipment
Office space in downtown Vienna with access to Stammstrecke
Training and certification encouraged
Award winning office spaces for an excellent work experience
Public transport ticket within Vienna
Gym-membership subsidy for a gym of your choice
Flexible work environment between client, Reply office and remote work
We are looking forward to your completed studies in computer science, mathematics, physics or comparable
Solid experience with Python, JavaScript or Java

Requirements

Qualifications:

Excellent software engineering skills (algorithms and data structures, object-oriented programming, CI/CD, automated testing, optimisation and writing tidy code, etc.
Sound knowledge of machine learning and statistics, ideally with expertise in at least one of the relevant areas, e.g. NLP, recommender systems, time series, computer vision
Knowledge of cloud services from AWS or Azure, or alternatively experience with on-premise deployment
Experience in prioritising customer needs and creating solutions or applications which bring business value
Experience with agile development concepts like Scrum
Excellent German skills, good English skills, and willingness to travel if required by the project
What are you waiting for?
Join our team at Machine Learning Reply as a Data Scientist!

","hiringOrganization":{"@type":"Organization","name":"Machine Learning Reply","sameAs":"https://www.reply.com/machine-learning-reply/de/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vienna, Wien, Austria","addressCountry":"Austria","addressRegion":"Europe"}}}},{"@type":"ListItem","position":32,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-18","description":"

Description

We are looking for a Senior Data Scientist to lead the design and implementation of next-generation AI solutions for Lifecycle Marketing.

As a senior member of our team, you will shape methodology, guide product direction under uncertainty, and represent Voyantis in high-stakes conversations with customers. You’ll combine deep expertise in causal inference, reinforcement learning, and experimentation with strong communication skills to drive impact across the company and with our clients.

About Us

Voyantis was founded in 2020 on the premise that market fundamentals are shifting companies worldwide from growth-at-all-costs strategies to efficient and responsible growth practices, with a focus on improving Unit Economics. With a bold mission to leverage AI to reimagine the whole Growth process, to streamline this transition and ensure its sustainability, Voyantis eliminates the guesswork from customer value creation, empowering leaders with actionable strategies and tactics to acquire, nurture and retain the high-value customers their businesses really need, with the actions and the timing that would be most impactful to achieve their goals.

Leading companies like Miro, Rappi and Moneylion rely on Voyantis to effectively apply these predictions. They use Voyantis to drive high-value customer acquisition on platforms like Google and Meta, optimize incentives through Salesforce and Braze, and perfectly time upsells, resulting in a 20%-40% ROI uplift.

Voyantis is well-backed by top VCs such as Target Global and SquarePeg. The company has tripled in size annually over the past two years and now boasts a team of 70 with offices in California, New York and Tel Aviv.

Responsibilities

Own the design and methodology of data science solutions for lifecycle marketing, with emphasis on causal inference, uplift modeling, and reinforcement learning.
Lead the development of experimentation frameworks (A/B/n tests, variance reduction, policy evaluation).
Research, prototype, and productionize multi-armed bandits and contextual RL approaches for personalization and timing optimization.
Take a strong, opinionated role in brainstorming sessions, guiding decision-making in areas of high uncertainty.
Represent Voyantis in front of customers, translating complex modeling decisions into clear business value.
Mentor junior and mid-level team members, raising the technical bar across the team.
Collaborate closely with product managers, engineers, and analysts to align data science strategy with business goals.

Requirements

M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics, or related field.
6+ years of hands-on data science experience, including direct work with lifecycle marketing, personalization, or customer analytics.
Advanced expertise in statistics, causal inference, and experimental design.
Proven track record of implementing reinforcement learning / multi-armed bandit models in production.
Strong software engineering skills in Python, SQL, and ML frameworks
Exceptional communication skills — able to influence internal teams and present to executive-level customers.
Entrepreneurial mindset: thrives in uncertainty, challenges assumptions, and pushes for impactful solutions.

","hiringOrganization":{"@type":"Organization","name":"Voyantis","sameAs":"https://www.voyantis.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tel Aviv-Yafo, Tel Aviv District, IL","addressCountry":"Israel","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"Senior Data Scientist (LLM post training) / 高级算法科学家（大模型后训练方向）","datePosted":"2025-09-18","description":"

Company Description

About Grab and our workplace

Grab is Southeast Asia's leading superapp. We are dedicated to improving the lives of millions of users across the region by providing them everyday services such as deliveries, mobility, financial services, enterprise services and others. More than that, we provide the opportunity for them to have a better life. And that aspiration starts inside Grab because we believe in a seamless blend of work and home life, making every aspect of life better for all.

Guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles—the 4Hs: Heart, Hunger, Honour and Humility—we work to create economic empowerment for the people of Southeast Asia. With our unwavering commitment to our values, we believe that we're more than a service provider; we're agents of positive change.

Job Description

Grab的数据科学团队负责研发数据挖掘、机器学习、深度学习、运筹优化算法、模型和平台，优化每一个用户的体验和平台的运营效率。

现诚招资多名大语言模型后训练方向的高级算法科学家，在推理、多模态、多语言、智能体等重点领域内进行模型研发和应用开发工作。应用落地场景包括风控、客服、个性化、内部流程自动化等。

团队在跟踪最新的技术进展的基础上会设计创新的解决方案，完成端到端的技术实现和系统迭代、为产品和业务创造价值。

岗位职责：

大模型的后训练与优化，包括微调、低资源训练、蒸馏、性能评估等；
领域数据的收集、清洗、标注及增强；
探索后训练在推理模型、多模态、多语言、智能体等领域的技术研发；
在面向用户业务场景和内部流程效率提升场景下的应用落地，包括风控、客服、个性化、等场景；
以文档、专利、原型、产品上线等多种方式呈现和展示技术成果；
积极参与业务和产品规划。

Get to know the team

The data science team develops data mining, machine learning and various algorithms to optimize user experience and the efficiency of the platform.

Get to know the role

We are currently seeking several Senior Data Scientists in the field of large language model post-training to join our team.

The roles involve research and development in key areas such as reasoning, multi-modality, multi-lingual and agents. Application areas include risk & safety, customer support, personalization and internal productivities.

The team will track the latest technological advancements, design innovative solutions, carry out end-to-end system deployment, and generate value for the businesses.

Responsibilities:

LLM post-training and optimization, including fine-tuning, low-resource training, distillation, and performance evaluation.
Domain-specific data collection, generation, cleaning, labeling, and augmentation.
Develop technology and systems to post-train reasoning models, multimodal models, multi-lingual models and agents.
Application deployment in user-facing product experience and internal productivity scenarios, such as risk control, customer support, personalization and others.
Present and demonstrate technical achievements through documents, patents, prototypes, and product launches.
Actively participating in business and product planning.

Qualifications

任职要求：

在计算机、人工智能相关领域取得硕士以上学历；
具备扎实的机器学习、深度学习理论基础，对大模型以及相关技术领域有深入理解；
具备大模型后训练、微调的实际经验，熟练掌握并灵活应用SFT、DPO等技术；
具备清洗、标注、生成处理大量训练数据的经验；
具备基于大模型的应用开发部署上线的经验；
熟练掌握Python语言，熟练使用主流深度学习框架；
优秀的书面和口头沟通能力，并具备良好的英语沟通能力；
对技术产品化和商业化有浓厚的兴趣。

加分项（任一项）：

开源社区参与和贡献经验；
顶级会议上论文发表经历；
端到端应用落地经验；
良好的技术大局观和业务理解能力

Requirements:

Master's degree or higher in computer science, artificial intelligence, or a related field.
Solid theoretical foundation in machine learning and deep learning, with in-depth understanding of large models and related technical domains.
Experience in large model post-training and fine-tuning, proficient in applying techniques such as SFT and DPO.
Experience in cleaning, labeling, and generating large amounts of training data.
Experience in developing, deploying, and launching applications based on large models.
Proficiency in Python and mainstream deep learning frameworks.
Excellent written and verbal communication skills, and good English communication skills.

Really Nice To Haves:

Experience in participation and contribution to open-source communities;
Publication experience at top conferences.
Experience in end-to-end LLM application deployment.
Good technical strategic sense and strong business acumen.

Additional Information

Life At Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

We have your back with Term Life Insurance and comprehensive Medical Insurance.

With GrabFlex, create a benefits package that suits your needs and aspirations.

Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave

We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.

Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

","hiringOrganization":{"@type":"Organization","name":"Grab","sameAs":"https://www.grab.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Beijing, China","addressCountry":"China","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":34,"item":{"@type":"JobPosting","title":"Senior Data Scientist (m/w/d)","datePosted":"2025-09-18","description":"

Willkommen bei der Allianz

Digitalisierung, Daten und Künstliche Intelligenz sind zentrale Themen in allen Unternehmensbereichen der Versicherungen. Die Allianz entwickelt daher neue Expertise, Prozesse und Infrastruktur, um das Potenzial dieser Bereiche optimal zu nutzen. Als Data Scientist (m/w/d) im Tribe Leistung arbeitest Du im Zentrum dieser bedeutenden Zukunftsfelder unserer Branche. Dein Einsatzort wird Unterföhring bei München sein.

Unser Tribe Leistung hat das Ziel, unseren Kundinnen und Kunden den besten Service in Vorsorge und Beratung zu bieten und im Leistungsfall durch eine schnelle und effiziente Bearbeitung ihrer Anliegen zu überzeugen. Dabei haben wir es uns zum Ziel gesetzt durch den Einsatz von neuen Technologien wie beispielsweise Generative AI die Prozesse im Bereich Kranken grundlegend zu modernisieren.

Unser Anspruch ist es skalierbare Lösungen zu entwickeln, die künftiges Kundenwachstum ermöglichen. Neben spannenden und innovativen Themen fördern und fordern wir Dich und Deine Entwicklung in einer der Kerneinheiten der Allianz Privaten Krankenversicherungs-AG!

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Das erwartet Dich bei uns als Senior Data Scientist (m/w/d)

Digitalisierungsvision: Du gestaltest aktiv die Zukunft der Digitalisierung gemäß unserer Vision und arbeitest mit Deinem Team an den Projektzielen.
Agilität: Im agilen Projektumfeld erarbeitest Du gemeinsam mit fachlichen Experten unter Verwendung von Generative AI und/oder Large-Language Modellen datengetriebene Lösungen und setzt diese in Abstimmung mit der IT um.
Systemintegration: Du sorgst für reibungslose Integration der neuen Lösungen in bereits bestehende Systeme und Prozesse.
Datenanalyse: Darüber hinaus nutzt Du Analytics-Lösungen, um Daten zu analysieren und aufzubereiten sowie die Ergebnisse gegenüber dem Management und anderen Bereichen zu kommunizieren.
Technologievorantreiben: Gemeinsam mit Deinem Team treibst du die Nutzung von modernen Technologien voran und behältst dabei einen stabilen und performanten Anwendungsbetrieb im Fokus.

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Das bringst Du mit als Senior Data Scientist (m/w/d)

Akademischer Hintergrund: Du hast Dein Hochschulstudium in Data Science, Mathematik, Informatik, Statistik oder einem verwandten Bereich mit sehr guten Leistungen abgeschlossen.
Berufserfahrung: Du konntest bereits mehrjährige relevante praktische Erfahrung als Data Scientist (m/w/d) oder in einer vergleichbaren Rolle sammeln.
Programmierkenntnisse: Du bringst nachweislich tiefergehende Erfahrungen in der Programmierung und Datenanalyse in Python (und/oder R) mit. Dabei achtest Du auf sauberen sowie wartbaren Code und hast einen hohen Anspruch an die Codequalität. Die Nutzung von Programmiersprachen wie SQL oder bash bereitet Dir keine Schwierigkeiten.
GenAI Expertise: Du hast Dir GenAI Wissen in den folgenden Bereichen bereits aufgebaut
Arbeiten mit LLMs (z.B. GPT, Claude Gemini, Llama oder vergleichbaren Modellen)
Arbeiten mit Embedding Modellen
Integration von GenAI-Modellen in skalierbare Lösungen
Entwicklung von LLM-Inferenzen (Prompt Engineering)
Aufbau von RAG-Systemen (Retrieval-Augmented Generation)
Testen und Validieren von GenAI-Lösungen
Implementierung von Agent-Systemen.
Analytische und Kommunikationsstärke: Du verfügst über ausgeprägte analytische und konzeptionelle Fähigkeiten sowie Abstraktionsvermögen, und kannst komplexe Sachverhalte zielgruppengerecht und strukturiert aufbereiten und präzise zwischen verschiedenen Stakeholdern vermitteln.
Professionelles Auftreten und Sprachkompetenz: Du überzeugst durch sehr gute kommunikative Fähigkeiten, ein sicheres und professionelles Auftreten, bist neugierig und an Deiner persönlichen Entwicklung interessiert, hast Lust, aktiv mitzugestalten und bewegst Dich sicher in deutscher und englischer Sprache.

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Unsere Highlights für Dich

Gesundheit & Wohlbefinden: Eine betriebliche Krankenversicherung, Sport- und Gesundheitsangebote sowie Präventionsmaßnahmen legen den Grundstein für körperliche und mentale Gesundheit.

Vergütung: Tarifliche Sonderzahlungen, betriebliche Altersvorsorge, vermögenswirksame Leistungen und Mitarbeiteraktien machen die Vergütung besonders attraktiv. Außerdem werden Mitarbeiter am Unternehmenserfolg beteiligt.

Zeit & Flexibilität: Mit unserem Modell „Neues Arbeiten“ können Beruf und Privatleben noch besser vereinbart werden. Wir arbeiten flexibel, hybrid, mobil und vor Ort.

Karriereentwicklung: Wir erstellen gemeinsam einen persönlichen Entwicklungsplan und ermöglichen, funktions- und länderübergreifende Erfahrungen zu sammeln.

Eine vollständige Übersicht darüber, was uns als Arbeitgeber attraktiv macht, ist unter careers.allianz.com/benefits zu finden.

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Besetzungstermin: schnellstmöglich

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Haben wir Dein Interesse geweckt und klingt das nach einem Umfeld, in dem Du gerne arbeiten würdest?

Dann bewirb Dich jetzt als Senior Data Scientist (m/w/d) online auf unserer Karriereseite - careers.allianz.com.

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Bei fachlichen Fragen stehen Dir Frau Andrea Hübner unter ANDREA.HUEBNER1@ALLIANZ.DE sowie bei Personalfragen Deine Recruiterin Cintia Malnis unter cintia.malnis@allianz.de zur Verfügung

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Hinweis: Die Allianz in Deutschland hat ein internes Rekrutierungsteam, das sich auf die direkte Suche nach hervorragenden Kandidat:innen konzentriert. Es werden keine unaufgeforderten Bewerbungen von Vermittlungsagenturen oder Personalvermittlungsfirmen akzeptiert.

Seit 1890 setzt sich die Allianz als weltweit führender Versicherer, Finanzdienstleister und Vermögensverwalter für die Sicherheit unserer Kund:innen und Mitarbeitenden ein. Darüber hinaus sind wir ein ausgezeichneter Arbeitgeber: 2024 wurde die Allianz in Deutschland Preisträger bei Great Place to Work „Deutschlands Beste Arbeitgeber“. Unsere Mitarbeitenden liegen uns am Herzen, und gemeinsam schaffen wir eine bessere Lebenswelt und Zukunft für uns und unsere Kund:innen.

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Die Allianz Private Krankenversicherungs-AG ist einer der größten Ärzteversicherer in Deutschland und der drittgrößte Anbieter auf dem privaten Versicherungsmarkt. Werde Teil des Teams und bereichere uns mit deiner Persönlichkeit. Let’s care for tomorrow.

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Die Allianz Gruppe ist eines der weltweit führenden Versicherungs- und Vermögensverwaltungsunternehmen. Wir kümmern uns um unsere Mitarbeitenden, ihre Ziele, Träume und Herausforderungen und machen uns dadurch zu einem einzigartigen Arbeitgeber. Gemeinsam schaffen wir ein Umfeld, in dem sich jeder unterstützt fühlt und das Selbstvertrauen hat, Neues zu entdecken, sich zu entwickeln und eine bessere Zukunft zu gestalten, für unsere Kundinnen und Kunden und die Welt um uns herum.

Bei der Allianz stehen wir für Zusammenhalt: Wir glauben, dass eine geeinte Welt eine zukunftsfähige Welt ist, und setzen uns konsequent für Chancengleichheit für alle ein. Die Grundlage dafür ist unser inklusiver Arbeitsplatz, an dem sowohl Mensch als auch Leistung zählen und eine Kultur gepflegt wird, die auf Integrität, Fairness, Inklusion und Vertrauen basiert.

Wir freuen uns über Bewerbungen von Menschen aller ethnischen und kulturellen Hintergründe, Altersgruppen, Geschlechter, Nationalitäten, Religionen, sozialen Herkünfte, Menschen mit oder ohne Behinderung sowie unterschiedlicher sexueller Orientierung und anderer durch lokale Gesetze und Vorschriften geschützter Merkmale.

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Join us. Let's care for tomorrow.

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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 (MLOPS/LLMOps)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.

Overview
Data Science and Artificial Intelligence represents the next phase in the advancement of our digital transformation and is a significant evolution for MasterCard. We continue to evolve our Data Science and AI strategy to support aggressive growth plans, and we are seeking a Senior Software Engineer to join the AI/ML Workbench team. This position requires a working knowledge of what it takes to stand up on-prem platforms and services (such as Kubernetes) and the importance of secure design and data privacy.

Role
In this role you will be working with technologies and concepts such as Kubernetes, Kubeflow, Python, Golang, software defined networking, GPU compute, data privacy to support delivery of AI/ML tooling and MLOPS services to our customers.

Work you'll do:
• Act as a trusted engineer on internal strategic initiatives by implementing objective, practical and relevant solutions while also building organizational partnerships and networks to ensure comprehensive solutions are developed with input from appropriate resources.
• The senior cloud engineer will implement standards for supported hosting platforms.
• Implement hosting requirements and infrastructure build plans.
• Create topology diagrams for applications and cloud platforms.
• Implement innovative solutions meeting current and future business requirements.
• Implement, document, publish and governance of cloud platform hosting standards.
• Will work in the evaluation of new cloud technologies and platforms
• Implement integration strategies and recommended design solutions.
• Will contribute in the development of cloud driven hosting models leveraging private & hybrid clouds, evaluation, implementation IaaS and PaaS solutions to help deliver infrastructure at the pace of development needs
• Knowledge of cloud, container, and micro services architectures.
• Plan, organize, and control multiple responsibilities to achieve project objectives; technically guide projects through to completion.

Desired Skills:

Platform engineering skills
• Have Experience with Kubernetes platform technologies. RedHat Openshift , Helm, Logging & Monitoring
\t MLOPS experience would be a plus
\t Python ML, Spark, Jupytor notebook, DataScience Pipeline etc.
• Exceptional communication skills and the ability to communicate appropriately at all levels of the organization.
\t• Has skills to orchestrate release workflows and pipelines, and apply standardized pipelines via APIs to achieve CI and CD using industry standard tools (e.g., Jenkins, AWS/Azure pipelines, XL Release, others).
• Excellent influencing and reasoning skills; good at conflict resolution and consensus building.
• Proficient in developing enterprise solutions.
• Experience in IaaS and PaaS implementations covering monitoring, configuration management, and orchestration.
• Knowledge of web concepts, infrastructure technologies and tools.
• Demonstrated experience working on projects that span multiple IT functions where analysis of systems or data requires an in-depth evaluation of complex business processes, system processes, and industry standards.
• Experience working across a matrixed environment
• Firewalls/Security Groups
• DNS Routing
• VM Configuration (vSphere, ESXi)
• Security Administration
• Auto-Scaling, Containerization, Application Load balancers, etc.
• Cost Management on Cloud infrastructure
• Serverless architectures
• Cloud storage management
• Infrastructure as code (Terraform)
• Logging, Monitoring, Alerting, Tracing sizing and tuning

Required:
• Bachelor's degree required
• Cloud Architect experience
• hands on Cloud Engineering experience
• Must have experience with on-premise cloud architecture, development, Engineering & DevOps

• GO / Python Development
Nice to have MLOps understanding .
• Nice to have CKA, CKAD, OpenShift EX280/Ex380

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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Position Summary...

What You'Ll Do...

We are seeking a highly skilled and strategic Senior Data Scientist to join our Marketplace Payments & Financial Services team. In this role, you will drive data driven decision making and develop advanced models that power key financial products such as working capital, faster payouts, manages risk related to seller payouts and other seller-facing financial services.

You will partner closely with Product, Engineering, Risk, and Business stakeholders to deliver insights and solutions that optimize financial outcomes, reduce risk, and improve seller experience at scale.

What You’Ll Do:

Develop and maintain advanced risk models for seller behavior, payment anomalies, and credit exposure using internal and external data.
Leverage advanced machine learning to build forecasting models for sales and service spend, shaping strategy to enhance capital offer quality and optimize credit limit assessments for our sellers.
Support credit risk strategy to drive growth and monetization while minimizing losses and maintaining seller experience.
Extract actionable insights from complex datasets (e.g., payments, orders, shipping, financials) using statistical to drive product and risk strategy.
Perform root cause analysis and apply causal inference to assess product impact and guide strategic decisions.
Build dashboards and automated systems to track model performance, risk signals enabling proactive risk mitigation.
Collaborate with cross-functional partners (Product, Engineering, Trust & Safety, Seller Services) to prototype, scale, and productionize robust data science solutions.
Translate complex analytical findings into clear, actionable recommendations for both technical and non-technical stakeholders.

What We’Re Looking For:

Master’s degree with 5 years of relevant experience or a Bachelor’s degree with 7 years relevant experience, in a highly quantitative field (i.e. Applied Math, Engineering, Statistics, Data Mining, Machine Learning, Analytics, Operations Research, or related field preferred)
Experience in Financial services industry preferably in Payments, strategic risk consulting, credit or fraud risk management preferred is a plus
Expertise in building and deploying machine learning models for real-world applications.
Experience with model evaluation, optimization, and tuning for performance improvements.
Strong Programming skills in any language (Python, R, Java, SQL, etc.)
Solid understanding ecommerce business metrics and KPIs and the ability to discover new ones as required
Team player, strong communication and interpersonal skills with an ability to thrive independently in a highly ambiguous and dynamic environment

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

‎

You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.

‎

For information about PTO, see https://one.walmart.com/notices.

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Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

‎

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

‎

For information about benefits and eligibility, see One.Walmart.

‎

San Bruno, California US-08848/Sunnyvale, California US-11349:The annual salary range for this position is $117,000.00-$234,000.00

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Bentonville, Arkansas US-09401:The annual salary range for this position is $90,000.00-$180,000.00

‎

Additional compensation includes annual or quarterly performance bonuses.

‎

Additional compensation for certain positions may also include:

‎

- Stock

‎

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Primary Location...

702 Sw 8Th St, Bentonville, AR 72716, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.","hiringOrganization":{"@type":"Organization","name":"Walmart","sameAs":"https://careers.walmart.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"(USA) Main Home Office Building AR BENTONVILLE Home Office, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":37,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-18","description":"

Grade Level: L3

Location: Islamabad

Last date to apply: 25th September 2025

What is the role of Senior Data Scientist?

At Jazz, you will be working closely with Jazz Business Units like Pricing, Segments, CVM designers, BI, Channel planning and Digital teams to develop cutting-edge machine learning and optimization solutions to analyze data and help them achieve their KPIs. You will also be working with external entities and help with data driven solution.

What does Senior Data Scientist do?

Formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests.
Collating and cleaning data from various entities for later use by junior data scientists.
Delegating tasks to Junior Data Scientists to realize the successful completion of projects.
Monitoring the performance of Junior Data Scientists and providing them with practical guidance, as needed.
Selecting and employing advanced statistical procedures to obtain actionable insights.
Cross-validating models to ensure their generalizability.
Producing and disseminating non-technical reports that detail the successes and limitations of each project.
Suggesting ways in which insights obtained might be used to inform business strategies.
Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.

Jazz is an equal opportunity employer. We celebrate, support, and thrive on diversity and are committed to creating an inclusive environment for all employees.

Requirements

What are we looking for and what does it require to be Senior Data Scientist?

5-7 years of experience in solving complex business problems using data science, statistical techniques & machine learning to build predictive & prescriptive solutions across the customer journey.
Demonstrated experience in executing on complex projects, extracting, cleansing, and manipulating large, diverse structured and unstructured data sets on relational – SQL, NOSQL databases.
Experience providing insights to support strategic decisions, including preparing and delivering insights and recommendations.
3 years of experience with Python/R/SCALA, extensive knowledge, and hand-on experience in statistical programming – SAS/SPSS/MATLAB and data science toolkits – Pandas/Jupyter/SCIKIT/Tensorflow.
3-4 years of experience applying machine learning solving real business and customer problems.
Bachelor’s or Master’s degree in Computer Science, Analytics, Applied Mathematics or Statistics, Econometrics, or closely related field.

We are looking for someone who can:

Develop understanding of existing data science models
Develop understanding of how CVM works at Jazz
Develop understanding of BI and Analytical tools and existing data science capabilities
Work alongside the data science team to understand existing data science operations
Develop in-depth understanding of the data science models and respective pipelines
Strive for continuous improvement in both the processes and the outcome
Contribute to the development and use of data science models for campaigns
Identify opportunities for improvement
Become responsible for the day-to-day data science activities
Complete understanding of all source systems available
Launching new advanced analytical models and projects
Develop, maintain, and transfer models in an open-source architecture (Python/R/Hadoop/Spark)
Working closely with data engineers and business managers to create insights

Benefits

Why Join Jazz?

As one of the leading employers in the country, Jazz epitomizes the philosophy that each Jazz employee is passionately living a better every day inspired and enabled by visionary leadership, a unique professional culture, a flourishing lifestyle, and continuous learning and development.

Our core values include qualities essential for a positive organizational culture - truthfully guiding entrepreneurial and innovative mindsets, harnessing professional and interpersonal collaboration, and fostering across-the-board customer-obsession.

As one of the largest private sector organizations in Pakistan, our objective is to continue to change the lives of our 75 million customers for the better. This is an opportunity for someone who wants to be part of something transformative, someone who can play a critical role in driving our success. Together, we can empower millions more with the tools necessary to progress in an increasingly digital economy.

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Position Summary...

What You'Ll Do...

Immigration sponsorship is not available for this role.

As a Senior Data Scientist at Sam’s Club, you will bridge the gap between advanced AI capabilities and business strategy. In this role, you’ll help with the efforts to design and apply AI solutions that deliver measurable impact across Asset Protection, Operations, and Product. While grounded in AI/ML innovation, this position focuses on translating complex technologies into practical business outcomes— improving efficiency, strengthening member experience, and driving smarter decision-making. Success in this role requires strong business acumen, the ability to align AI initiatives with enterprise priorities, and close collaboration with cross-functional teams.

About the Team:
Sam’s Club is a membership warehouse club that combines value, quality, and innovation for millions of members. Our team is dedicated to harnessing the power of data and AI to unlock new business opportunities and reimagine how retail operates. Working side-by-side with Asset Protection, Operations, and Product, we identify high-impact challenges and deliver AI-driven solutions that optimize business processes, strengthen risk management, and enhance operational excellence. We are at the forefront of retail transformation, ensuring AI is applied responsibly and strategically to support our associates and members.

What You'Ll Do:

Translate business challenges into AI solutions: partner with stakeholders in Asset Protection, Operations, and Product to understand pain points and opportunities, then design AI approaches that deliver measurable improvements.
Leverage AI for business impact: guide the use of AI agents, predictive modeling, and advanced analytics to improve decision-making, streamline workflows, and reduce inefficiencies across supported areas.
Integrate with enterprise systems: ensure AI initiatives connect seamlessly with existing tools, systems, and processes, enabling real-world adoption and sustainable impact.
Evaluate and govern AI solutions: establish metrics, monitoring, and governance frameworks to ensure solutions are reliable, safe, and ethically applied in business contexts.
Build and stand up software and data products independently, demonstrating ownership of the full development lifecycle.
Apply foundational machine learning techniques and a working understanding of Generative AI to solve complex, ambiguous problems creatively and effectively.
Communicate clearly and confidently with both technical and non-technical audiences, presenting problems, hypotheses, and solutions with clarity and business relevance.

What You'Ll Bring:

Extensive experience in data science, machine learning, and predictive modeling with proficiency in Python programming.
Strong knowledge of data engineering, including data pipelines, data quality, and database technologies such as SQL and NoSQL.
Expertise in analytical modeling techniques, feature engineering, and model assessment using best practice validation methods.
Proven ability to translate complex business requirements into data-driven solutions aligned with strategic objectives.
Proficiency in data visualization tools and techniques to effectively communicate insights to stakeholders.
Experience deploying and scaling analytical models in production environments with attention to sustainability and performance.
Excellent collaboration and mentoring skills to guide junior associates and cross-functional teams.

Preferred Qualifications And Experience:

3+ years of professional experience working as a Data Scientist.
Professional work experience with Spark and dashboarding.
Working knowledge and understanding of GenAI and AI solutions.

About Sam's Club:
Sam Walton opened the first Sam's Club in 1983 to meet a growing need among customers who wanted to buy merchandise in bulk. Since then, Sam's Club has grown rapidly, opening more than 600 clubs in the U.S. and 100 clubs internationally. By offering affordable, wholesale merchandise to members, Sam's Club helps make saving simple for families and small business owners. Sam's Club employs about 110,000 associates in the U.S. The average club is 134,000 square feet and offers bulk groceries and general merchandise. Most clubs also have specialty services, such as a pharmacy, an optical department, a photo center, or a tire and battery center.

Future Ways of Working:
Our company's success can be attributed to our employees. While technology has allowed us to be effective while working remotely, there is no substitute for being in the office together; it helps to shape our culture, collaborate, innovate, build relationships, and move more quickly. We strive to provide flexibility in order to promote a healthy work-life balance but recognize that in-person interactions are important to our culture and shared success. We'll meet in person on a regular and purposeful basis.

Benefits:
Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Equal Opportunity Employer:

Sam’s Club is an Equal Opportunity Employer – by choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas and opinions while being welcoming of all people.

The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

#Li-Onsite

At Sam's Club, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet!

‎

- Health benefits include medical, vision and dental coverage

‎

- Financial benefits include 401(k), stock purchase and company-paid life insurance

‎

- Paid time off benefits include PTO, parental leave, family care leave, bereavement, jury duty, and voting. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.

‎

For information about PTO, see https://one.walmart.com/notices.

‎

- Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

‎

Live Better U is a company paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

‎

For information about benefits and eligibility, see One.Walmart.

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The annual salary range for this position is $90,000.00-$180,000.00

‎

Additional compensation includes annual or quarterly performance bonuses.

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Primary Location...

2101 Se Simple Savings Dr, Bentonville, AR 72712-4304, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.","hiringOrganization":{"@type":"Organization","name":"Walmart","sameAs":"https://careers.walmart.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"(USA) Sam's Home Office AR Bentonville Home Office, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":39,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-18","description":"

Complexio is Foundational AI. This works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently.

Complexio is a joint venture between Hafnia, in partnership with Marfin Management, C Transport Maritime, Trans Sea Transport and BW Epic Kosan and Símbolo.

Join a dynamic team at the forefront of revolutionising human-machine interaction through generative AI in collaboration with global partners. We are poised to redefine the essence of human-AI collaboration, unlocking hidden patterns and insights in data that were once considered the exclusive domain of human intellect. We seek a passionate and innovative Data Scientist to contribute to our joint venture, particularly focusing on shipping and other industrial sectors. This is an exciting opportunity to be part of a groundbreaking initiative that aims to redefine industry standards through AI and human-machine collaboration.

Key Responsibilites:

Algorithm Development: Design and implement advanced algorithms for generative AI models that enhance human-machine interaction within the specified industries.
Data Analysis: Conduct in-depth analysis of large datasets to derive meaningful insights, trends, and patterns relevant to the joint venture's goals.
Model Training and Evaluation: Develop and train generative AI models, ensuring their effectiveness and reliability through rigorous evaluation processes.
Collaboration: Collaborating with an elite team, learning and contributing to transitioning from conventional language models to cutting-edge Large Language Models (LLMs) and fine-tuning techniques such as LoRA and QLoRA.
Innovation: Stay abreast of the latest advancements in AI and generative models (including open source), proposing and implementing innovative solutions to enhance the capabilities of our technology.
Industry Expertise: Acquire a deep understanding of the shipping and industrialized industries to tailor generative AI solutions that address specific challenges and opportunities within these sectors

Requirements

Master's or Ph.D. in Data Science, Computer Science, or a related field.
Proven experience in developing and implementing generative AI models.
Proficient in programming languages such as Python and JavaScript
Strong background in statistical analysis, machine learning, and data visualization.
Excellent problem-solving skills and the ability to work in a collaborative, cross-functional environment.
Demonstrated expertise in handling large datasets and extracting actionable insights.
A proven track record working with open-source models, Llama, and AI/NLP across various domains.
Mastery of NLP and related libraries.
An understanding of business operations and a knack for crafting actionable business insights.

Benefits

Join a pioneering joint venture at the intersection of AI and industry transformation.
Work with a diverse and collaborative team of experts from various disciplines.
Opportunity for professional growth and continuous learning in a dynamic field.

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We are looking for a ‘Senior Data Scientist’ to join our Technology team at Clarivate. You will get the opportunity to work on interesting IP data and interesting challenges to create insights and drive business acumen to add value to our world class products and services

About You – experience, education, skills, and accomplishments

Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience.
Atleast 4 years of industry experience in the application of ML and NLP
Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment
Good programming skills (Python, Java, R or C++)

It would be great if you have,

Experience with large language model
Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation
Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies

What will you be doing in this role?

Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites
Implements these methods and devises appropriate test plans to validate and compare the different approaches
Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data
Explores existing data for insights and recommends additional sources of data for improvements

About The Team

You would be part of our incredible data science team of Intellectual property (IP) group & work closely with product and technology teams spreads across various locations worldwide.

Hours Of Work

This is a permanent position with Clarivate.9 hours per day including lunch break. you should be flexible with working hours to align with globally distributed teams and stakeholders.

At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.

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Job Title:

Senior Data Scientist – Digital Analytics & Predictive Modeling

Job Description

We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled.

The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent.

The Concentrix Technical Products and Services team is the driving force behind Concentrix’s transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision.

Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as \"World's Best Workplaces,\" “Best Companies for Career Growth,” and “Best Company Culture,” year after year.

Join us and be part of this journey towards greater opportunities and brighter futures.

Job Title: Senior Data Scientist – Digital Analytics & Predictive Modeling

Job Summary:

We're looking for a Senior Data Scientist with expertise in Splunk, Adobe Analytics, and advanced modeling techniques to join our Digital Analytics & Intelligence team. You'll work with tools like Python, R, TensorFlow, PyTorch, and AWS SageMaker to build models for forecasting, NLP, and big data optimization. This role bridges digital analytics and predictive modeling to deliver insights across marketing, UX, and operations. It's a high-impact opportunity to turn complex data into strategic business decisions.

Responsibilities:

Analyze and interpret user behavior using Adobe Analytics and Splunk to drive digital insights and reporting.
Develop, validate, and deploy predictive models, including forecasting, classification, regression, and clustering models.
Implement NLP pipelines for processing and extracting insights from textual data (e.g., user feedback, logs, tickets).
Leverage cloud-native tools like AWS SageMaker for scalable model training, deployment, and monitoring.
Design and execute big data optimization strategies to improve data processing efficiency and model performance.
Collaborate with cross-functional teams including marketing, product, engineering, and DevOps to translate business needs into analytical solutions.
Automate and streamline data workflows using tools like Git for version control and CI/CD best practices.
Produce clear documentation, data visualizations, and presentations to communicate complex analytical findings to stakeholders.

Skills:

3–6 years of experience in data science, machine learning, or a related field.
Strong experience with Splunk and Adobe Analytics for digital behavior tracking and data aggregation.
Proficiency in Python and/or R for data manipulation and model development.
Experience with machine learning frameworks:
Deep understanding of NLP techniques (e.g., sentiment analysis, topic modeling, named entity recognition).
Solid foundation in time series forecasting, predictive analytics, and big data handling.
Experience working with cloud data science platforms, especially AWS SageMaker or similar (Azure ML, Google Vertex AI).
Knowledge of version control systems like Git and working in collaborative coding environments.
Strong communication skills to explain complex models and outcomes to non-technical stakeholders.
Bachelor’s or master’s degree in computer science, Statistics, Data Science, Engineering, or a related quantitative field.
Python: Scikit-learn, TensorFlow, PyTorch, Pandas

The deadline to apply for this position is 09/25/2025

#Concentrixcatalyst

#Hybrid

The base salary range for this position is $92,250- $144,964 plus incentives that align with individual and company performance. Actual salaries will vary based on work location, qualifications, skills, education, experience, and competencies. Benefits available to eligible employees in this role include medical, dental, and vision insurance, comprehensive employee assistance program, 401(k) retirement plan, paid time off and holidays.

At Concentrix, we provide customer experience solutions that may involve handling sensitive data. As part of our hiring process, all candidates must undergo a background check in accordance with applicable law, which will include identity verification and employment eligibility.

Location:

USA Seattle 1401 NW 46th St

Language Requirements:

Time Type:

Full time

Physical & Mental Requirements: While performing the duties of this job, the employee is regularly required to operate a computer, keyboard, telephone, headset, and other office equipment. Work is generally sedentary in nature.

If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents

Concentrix is an equal opportunity and affirmative action (EEO-AA) employer. We promote equal opportunity to all qualified individuals and do not discriminate in any phase of the employment process based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy or related condition, disability, status as a protected veteran, or any other basis protected by law.

For more information regarding your EEO rights as an applicant, please visit the following websites:

•English

•Spanish

To request a reasonable accommodation please click here.

If you wish to review the Affirmative Action Plan, please click here.

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The State Street Investment Management- Global Head of Data, Analytics & AI Services (GHDAAIS) is seeking to hire a Senior Data Scientist, Officer at Hangzhou office. This role will play an important role in the solution delivery of AI technology services provided to the Global Advisors business at State Street. The role will be a key contributor in the DAAIS organization for AI services supporting the COO’s organizational delivery of the AI platforms in a federated model to Global Advisors, State Street, and our clients. The role will function as the AI specialist for AI related services working closely with the State Street affiliates, Global Technology Services (GTS) and other third-party vendors used within the SSGA ecosystem globally. The role will develop AI solution to the COO’s delivery of technology platforms and services according to the GTS architectural standards and operate under a federated operating model to deliver against a target end state AI ecosystem blueprint. In addition, the role needs to implement GTS AI related technology, risk, security, and data governance standards.

This is a senior data scientist role for candidate who has strong hands-on foundational AI solution design and development experience, as well as strong team collaboration skills. The candidate should have rich experience for AI applications development. The candidate has 3+ years of experience in asset management. This is someone who also has successful experience in developing service-oriented AI solution, has delivered enterprise platform and/or commercialized AI product. The candidate has excellent technical and problem-solving skills, someone with creativity and self-motivation to deliver on mission critical projects with tight timelines and competing priorities.

Responsibilities:

Deliver highly effective AI solution to meet our fast-changing business and client needs, collaborate with global teams to execute on global projects and keep improving model solution and technology best practices.
Adopt various modern AI tools to design and develop AI solution and disrupt traditional AI/ML development approach and improve overall productivity.
Mentor junior data scientists, ensure their continuous growth and development, and foster a high-performance team culture.
Become subject matter expert in modern AI tools, foundational AI model design, development, and validation by converting financial data and models to mathematical and computer science level design and implementation.
Integrate, customize, and train known AI model and algorithm in open-source libraries to solve financial market problem, perform validation, and fix bugs.
Implement model rationalization, reusability, scalability, modern MLOps, and model observability.
Write model specification about problem statement, assumption, data input, methodology, implementation framework, and test result.
Support IT integration, QA/UAT and deployment of AI micro services, operationalizing and productizing resulting models and AI solutions.
Support production issue pertinent to model and algorithm including the ones used in open-source libraries if any.

Skills And Qualifications:

Master’s degree required (preferably in computer science, financial mathematics, and financial engineering), PhD preferred.
3+ years of hands-on coding experience with foundational AI algorithms and familiar with deep learning neural network like various supervise and unsupervised models.
5+ years of modern, object-oriented or functional programming and design experience (Python, Java) and proficient in AI code generation tools like GitHub Co-pilot/Cursor.
Proficient in public cloud development environment and could native products such as Azure ML, Azure AI Foundry, Snowflake, Databricks Mosaic, or AWS Bedrock/Sagemaker.
Familiar with major financial instrument, reference data, market data, investment and risk management concept.
Fluent with English and Mandarin; Excellent written and verbal communication skills at all stakeholder levels across multiple countries.
Result driven, detail oriented, candid attitude.

Any of the following is highly desirable:

Prior data scientist role in financial institution and model validation experience.
Prior risk and investment management experience in asset management industry.
Structured and unstructured data management tools (Snowflake, Databricks, PostgreSQL, Hadoop, etc.).
Passed Charted Financial Analyst (CFA) level I or equivalent.

About State Street

What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we’re making our mark on the financial services industry. For more than two centuries, we’ve been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You’ll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.

Inclusion, Diversity and Social Responsibility. We truly believe our employees’ diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you.

State Street is an equal opportunity and affirmative action employer.

Discover more at StateStreet.com/careers

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Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

As a Senior Data Scientist at Micron Technologies, you will play a crucial role in analyzing and extracting valuable insights from large datasets related to semiconductor manufacturing, process optimization, and quality control. You’ll collaborate with cross-functional teams to develop innovative solutions that enhance product performance, yield, and reliability. 

Responsibilities:

Data Analysis & Anomaly Detection: Perform exploratory data analysis (EDA) on semiconductor manufacturing data, including wafer fabrication, yield, and defect rates. Identify anomalies and outliers in semiconductor production data, suggesting corrective actions to improve yield. 
Model Development & Feature Engineering: Develop predictive models using machine learning techniques (such as regression, classification, and clustering) to optimize manufacturing processes and improve product quality. Extract relevant features from raw data, considering factors like material properties, process parameters, and environmental conditions. 
Visualization: Create clear and informative visualizations to communicate findings and insights to stakeholders. 
IoT: Work with enablement sensor data collection from edge devices as well as management of data pipelines.  
Collaboration: Work closely with engineers, physicists, and domain experts to understand semiconductor processes and translate business requirements into data-driven solutions
Continuous Improvement: Stay up to date with industry trends, research advancements, and emerging technologies in data science and semiconductor manufacturing.

Minimum Qualifications:

Education/Experience:

Master’s or Ph.D. with a thesis in Engineering, Computer Science, Data Science or related field. Practical experience with Virtual Metrology, AI, process control, yield improvement, quality control, semiconductor process engineering, image analytics, or related semiconductor field focus.
3 plus years in semiconductor manufacturing or artificial intelligence

Technical And Project Skills:

Proficient in Python, with strong knowledge of machine learning algorithms and statistical techniques. 
Familiarity with web applications and reporting.
Experience with SQL and database management. 
Project experience in AGILE, Waterfall, Scrum, Software Development Lifecycle, JIRA, Change management, Release management, and Configuration management.

Technologies:

Ml Frameworks:
Decision trees, Clustering, Regression, Neural Networks, NLP, Pytorch, Big data, Tensorflow, Pandas, Streamlit 
Tools And Technologies:
Docker, Containerization, Kubernetes, Jenkins, Ansible, Elasticsearch, SSL, Microservices, data visualization tools (e.g., Streamlit, Tableau, PowerBI, etc.). 
Cloud Expertise:
Google Cloud Platform, OpenShift Container Platform 
Ai Skills:
Ai Specialization And Virtual Metrology/Modeling/Computation:
Python library sklearn, xgboost, pycaret, etc. but the capability to learn any new package is most important. 
Familiar with the general process of data science work like data extraction, feature extraction, feature selection and modeling. 
Familiar with the skills to deal with time series data (feature extraction, modelling, similarity measure of time series) 
Image specialization:  Familiar with deep learning network CNN and package keras. 
Languages: HTML, CSS, JavaScript, Typescript 
Frameworks/Libraries: Angular, HighCharts, Plotly, AG Grid, BootStrap, Ngx Bootstrap, RxJS 
High capability to learn any new package. 
Packaging: npm, Jenkins 
Languages: Python
Frameworks: Flask, FastAPI, Experience with RESTful APIs, Minor experience with WSLs 
Databases: MySQL, MSSQL, Oracle, PostgreSQL, MongoDB, Neo4j, BigQuery SQL, Snowflake SQL, basic understanding of SSL 
Frontend:
Backend/Api:
Tools:
Git , Bitbucket

Additional Details:

Ability to conduct and/or attend meetings when needed in the evening. 
Excellent communication skills to collaborate with cross-functional teams. 
Adaptability and willingness to learn new technologies and methodologies.

Preferred Qualifications:

Prior experience in semiconductor manufacturing, yield optimization, or process control is highly desirable. 
5 plus years in semiconductor manufacturing or artificial intelligence
Iot Device Domain:
Strong understanding of Operating systems (preferably Linux) Networking/Communication protocols (eg - websockets)  
Experience with python libraries and javascript is recommended.  
Hands-on experience with Linux OS, RPi, Odroids (Embedded systems)  
Understanding of different communication protocols used for communicating between the sensors, drivers for embedded systems and choosing the sensors accordingly.  
Experience with frameworks and libraries such as OpenCV, Thingworx, Ansible, and basic DBMS (SQL)  
Ability to preprocess, clean large, noisy data generated from sensors

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

To learn about your right to work click here.

To learn more about Micron, please visit micron.com/careers

For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

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At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Your role in the team

Data, Discovery, and Decision Science (D3) is the research and analytics organization at Allstate. In D3, you’ll be surrounded by 360+ tenacious and intellectually curious colleagues in an inclusive culture that encourages you to take risks, challenge the status quo and shape the future for the greater good. We are solving some of today’s most complicated analytics problems, making the lives of our Allstate colleagues easier and more productive, and driving our mission to deliver targeted insurance solutions to our customers. 

We are partnering to incorporate analytics into every aspect of the enterprise. We are avid about learning new ways to get the most value from our massive data resources and leading-edge technology. We are committed to building an inclusive and diverse team where everyone has an equal opportunity to succeed. We strive to hire people from different backgrounds so that we can better serve our diverse customer needs. 

This role is responsible for leading the use of data to make decisions. This includes: the development and execution of new machine learning predictive modeling algorithms, the coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our business decisions), and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling. This role will also manage projects of medium complexity.Job Description

Key Responsibilities:

Uses best practices to develop statistical, machine learning techniques to build models that address business needs and to improve the accuracy of our data and data-driven decisions 
Reviews, evaluates and communicates appropriateness of modeling techniques and results to team, leadership and stakeholders to ensure these are well understood and incorporated into business processes. With coaching, develops and executes communication strategy, keeping stakeholders informed and finding opportunities to influence the direction of work. 
Collaborates with the team and works on data and business problems in order to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models. Understands the business’ problems to identify the optimal modeling approach. 
Identifies languages and tools that can bring efficiencies or needed techniques to the team 
Utilizes effective project planning techniques to break down moderately complex machine learning/predictive modeling and/or development projects into tasks and ensure deadlines are kept

Essential Skills:

All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy.
3+ years’ experience in a related field working with data science techniques such as GBMs, ensemble forests, GLMs, deep learning or graph mining in industry or postgraduate experience.
Proven experience leading & managing analytical or data science-based projects
Proven experience implementing data science solutions into production systems

Desirable Skills:

A degree of any level in a quantitative field such as mathematics, physics or computer science with classification of 2.1 or higher (or equivalent).

Previous applicants in the last 12 months need not apply.

Supervisory Responsibilities:

There are supervisory responsibilities in this role.

Job posting end date: Thursday 25th September 2025 [11.59pm]

#Li-Se1

#Li-Hybrid

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.

Why Join Us?

Allstate NI is proud to be Allstate’s European Digital Centre of Excellence—recent winners of ‘Best Use of Cloud Services’ at the Belfast Telegraph IT Awards 2024, and recognised for our community and sustainability impact at the 2024 Business in the Community Awards and Gold accreditation for Environmental Responsibility.

We’re a product-driven, cloud-first organisation delivering real outcomes through modern technology, a digital product-centric talent model, and a culture rooted in engineering excellence. Our teams work in cross-functional structures, guided by an outcome-based delivery approach that accelerates speed, agility, and value.

We Offer:

A generous, flexible benefits package including annual leave, healthcare and dental cover, pension, and lifestyle discounts
Access to world-class learning platforms and award-winning L&D
Clear career paths, internal mobility, and a strong focus on growth
A people-first culture with flexible working options

Be part of a high-performing, socially responsible organisation where your work has purpose, and your growth is supported every step of the way.

Statement on Fair Employment and Equal Opportunities

Allstate NI wishes to ensure equal opportunity is given to all job applicants. This company will not discriminate on the grounds of race, gender (including gender reassignment status), sexual orientation, religious belief, political opinion, marital status, age or disability.

We are an equal opportunities employer. We welcome applications from all suitably qualified persons. However, as women are currently under-represented in our workforce, we would particularly welcome applications from women. All appointments will be made on merit.

Applicants should note Allstate NI complete AccessNI background checks on all candidates offered a position.

Posting End Date:

24 May 2025","hiringOrganization":{"@type":"Organization","name":"Allstate","sameAs":"https://www.allstate.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Belfast 10 Mays Meadow, United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-17","description":"

Job Description

Position Overview

As a Senior Data Scientist in the Ecommerce Methods team, you’ll develop and implement data-driven solutions to enhance ecommerce measurement and performance. You’ll design forecasting models, collaborate with cross-functional partners, and ensure the quality and impact of analytics. This role involves solving real-world retail challenges and communicating insights to both technical and non-technical audiences.

Key Responsibilities

Methodological Development: Collaborate in the design, prototyping, and refinement of data science methodologies to measure online retail performance.
Advanced Analytics: Develop, test, and validate statistical and machine learning models addressing revenue forecasting, outlier detection, missing data imputation, and data synthesis.
Quality Assurance: Contribute to validation efforts, code reviews, and documentation, promoting reliability and reproducibility in our analytics.
Knowledge Sharing: Present findings internally, contribute to technical documentation, and stay abreast of advancements in ecommerce analytics.
Collaboration & Support: Partner with colleagues across teams to understand business needs and support the deployment of analytical solutions. Mentor junior team members and contribute to a collaborative team environment.
Continuous Learning: Keep up-to-date with the latest trends, tools, and best practices in data science, machine learning, and ecommerce analytics.

Qualifications

Education: Master’s degree (or higher) in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
Experience: 3+ years of hands-on data science or advanced analytics experience, preferably in ecommerce, retail analytics, or digital marketing.
High proficiency in Python, with experience in statistical modeling, machine learning, data wrangling, and visualization.
Solid understanding of statistical inference, time series analysis, and machine learning algorithms.
Experience with version control (Git) and containerization (Docker) is a plus.

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?
Follow us on: LinkedIn | Instagram | Twitter | Facebook
Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the 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":"Vadodara, GJ, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"Senior Data Scientist - Product","datePosted":"2025-09-17","description":"

Join Us In Building The Future Of Finance.

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About The Team + Role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

Brokerage products are the bread and butter of Robinhood. The Brokerage team is fast-paced, dynamic, and deeply collaborative, driving innovation across our suite of brokerage products.

As a Senior Data Scientist on the Brokerage Data Science team, you'll be part of a high-impact, multi-functional group working closely with partners across product, engineering, user research, design, marketing, finance, and operations. Together, you’ll unlock the power of data to shape the future of our brokerage business and deliver outstanding value to our customers.

We’re looking for a dedicated and ambitious data science leader to help us accelerate product growth through world-class experimentation, analysis, and data-informed strategy. Your work will directly influence the roadmap, uncover new opportunities, and improve the trading experience for millions of users.

This role is based in our [New York] office(s), with in-person attendance expected at least [3/4/5] days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What You’Ll Do

Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics.
Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes.
Define and maintain key product performance metrics; build scalable dashboards to monitor these metrics and advise decision-making.
Build compelling data visualizations and narratives to effectively communicate insights and recommendations to multi-functional partners, collaborators, and senior leadership.
Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact.
Partner closely with Product, Engineering, Operations, and other multi-functional teams to integrate data-driven decision-making into product and business processes.
Assist with established methods, standard approaches, and promote a data-informed culture within the organization.

What You Bring

Proven expertise in data science, with a strong background in statistical analysis and machine learning.
Outstanding problem-solving skills and the ability to think critically and creatively.
Strong programming skills in Python & SQL, or other relevant languages.
Experience with data visualization tools and techniques.
Ability to successfully implement projects and compete in a fast-paced environment.
PhD or master’s degree in a quantitative field such as mathematics, statistics, engineering or natural sciences and at least 6-10 years of experience developing and deploying predictive models.

What We Offer

Challenging, high-impact work to grow your career
Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life & disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
Exceptional office experience with catered meals, events, and comfortable workspaces.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Base Pay Range:

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)$179,000—$210,000 USDZone 2 (Denver, CO; Westlake, TX; Chicago, IL)$157,000—$185,000 USDZone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)$139,000—$164,000 USD

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + benefits.

Base Pay Range:

Toronto, ON$110,500—$130,000 CAD

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.

Base Pay Range:

Toronto, ON$110,500—$130,000 CAD

Click here to learn more about our Total Rewards, which vary by region and entity.

If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.

Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

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Join Us In Building The Future Of Finance.

About The Team + Role

Brokerage products are the bread and butter of Robinhood. The Brokerage team is fast-paced, dynamic, and deeply collaborative, driving innovation across our suite of brokerage products.

This role is based in our [Menlo Park] office(s), with in-person attendance expected at least [3/4/5] days per week.

What You’Ll Do

Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics.
Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes.
Define and maintain key product performance metrics; build scalable dashboards to monitor these metrics and advise decision-making.
Build compelling data visualizations and narratives to effectively communicate insights and recommendations to multi-functional partners, collaborators, and senior leadership.
Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact.
Partner closely with Product, Engineering, Operations, and other multi-functional teams to integrate data-driven decision-making into product and business processes.
Assist with established methods, standard approaches, and promote a data-informed culture within the organization.

What You Bring

Proven expertise in data science, with a strong background in statistical analysis and machine learning.
Outstanding problem-solving skills and the ability to think critically and creatively.
Strong programming skills in Python & SQL, or other relevant languages.
Experience with data visualization tools and techniques.
Ability to successfully implement projects and compete in a fast-paced environment.
PhD or master’s degree in a quantitative field such as mathematics, statistics, engineering or natural sciences and at least 6-10 years of experience developing and deploying predictive models.

What We Offer

Challenging, high-impact work to grow your career
Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life & disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
Exceptional office experience with catered meals, events, and comfortable workspaces.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.

Base Pay Range:

Click here to learn more about our Total Rewards, which vary by region and entity.

If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.

","hiringOrganization":{"@type":"Organization","name":"Robinhood","sameAs":"https://robinhood.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":48,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-17","description":"

About Bluevine

Bluevine is transforming small business banking with innovative solutions like checking, lending, and credit—all tailored to help entrepreneurs thrive. With best-in-class technology, advanced security, and a deep understanding of the small business community, we’re empowering entrepreneurs to grow with confidence.

Backed by leading investors like Lightspeed Venture Partners, Menlo Ventures, 83North, and Citi Ventures, we’ve been supporting SMBs since 2013, serving over 750,000 customers nationwide and growing a dynamic global team of 500 people. Our mission? To fuel small businesses with the financial tools they need to succeed.

At Bluevine, you’ll be part of a collaborative, fast-paced team that’s reshaping the future of banking. Ready to make an impact?

About The Role:

We are building a new, cutting-edge data science team in India and are looking for an experienced Senior Data Scientist to join us. This role is an exciting opportunity to apply your expertise in advanced statistical techniques, machine learning, and predictive modeling to solve complex business problems. You will be instrumental in shaping the data science function, developing scalable models, and collaborating with teams across the globe.

What You'Ll Do:

Advanced Modeling & Analytics: Utilize advanced statistical, machine learning, and predictive modeling techniques to design, build, and improve decision-making systems that drive business outcomes.
Scalable Model Implementation: Apply modern software engineering practices to implement machine learning models in a scalable, robust, and maintainable manner. Ensure models are production-ready and optimized for performance.
MLOps & System Integration: Lead technical MLOps projects including the redesign of existing infrastructures, maintaining and improving current models and systems, and integrating the latest technologies into our data science workflows.
Data Collection & Management: Manage and lead initiatives to design and implement robust data collection procedures necessary for building comprehensive analytical systems.
Collaboration & Leadership: Work closely with Data Scientists, the R&D department, and cross-functional teams across India, the US, and Israel to drive data science initiatives. Provide mentorship to junior data scientists and contribute to the growth of the team.

What We’Re Looking For:

5+ Years of Experience: A minimum of 5 years of professional experience as a Data Scientist, with a proven track record of developing and deploying machine learning models in a production environment.
Proficiency in Python: Extensive experience in developing and deploying scalable production-level code in Python, with a deep understanding of machine learning libraries such as Scikit-learn, PyTorch, TensorFlow, or similar.
Database Expertise: Strong experience working with relational databases, writing optimized SQL queries, and managing large datasets.
End-to-End ML Lifecycle: Comprehensive experience in the full lifecycle of ML model development, including ideation, training/testing, deployment, and monitoring in a production setting.
Data Analysis & Insight Generation: Ability to analyze complex datasets and extract actionable insights that inform business decisions.
Educational Background: A Master's or Ph.D. in Statistics, Computer Science, Engineering, or a related quantitative discipline.
Communication Skills: Proven ability to communicate complex technical concepts and findings to non-technical stakeholders, with a focus on clear and actionable insights.

Bonus Points:

Cross-Functional Experience: Experience working cross-functionally with Data/MLOps Engineering, Analytics, Business, and Product teams.
Domain Expertise: Previous experience in specialized areas such as fraud detection, credit risk prediction, or graph models and analytics.
MLOps & Cloud Experience: Hands-on experience with MLOps, particularly within the AWS ecosystem, and familiarity with tools like Apache Airflow.
Experimental Design: Expertise in designing and executing experiments to measure model impact and effectiveness.

#Li-Ms1

#Li-Hybrid

Benefits & Perks

Excellent group health coverage and life insurance
Stock options
Hybrid work model
Meal allowance
Transportation assistance (terms and conditions apply)
Generous paid time off plan, Holidays
Company-sponsored mental health benefits
Financial advisory services for both short- and long-term goals
Learning and development opportunities to support career growth
Community-based volunteering opportunities

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Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

Experian Innovation Lab is a research and development unit at Experian formed with the desire to work in collaboration with Experian's departments to enhance relationships with clients and acquire strategic datasets. Experian® is a global leader in providing information, analytical tools and marketing services to organizations and consumers to help manage the risk and reward of commercial and financial decisions. Using our comprehensive understanding of individuals, markets and economies, we help organizations develop customer relationships to make their businesses more profitable.

As a Senior Data Scientist at the Experian Innovation Lab, your role will be to research and develop analytical solutions, prototype new products, and evaluate data assets. You must bring an experience in predictive modeling, machine learning, and deep learning to this position. You will report into the Sr. Principal Data Scientist

You'Ll Have Opportunity To:

Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
Innovate with tools designed for data processing and information retrieval.
Dissect and document vast datasets, analyzing them to highlight patterns and insights.
Solve complex challenges by developing impactful algorithms.
Ensure model excellence by validating performance scores and analyzing Return on investment and benefits.

Qualifications

Master's Degree or higher in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field.
2+ years of experience in AI, data science, or predictive modeling
Proficiency in multiple programming languages, including Python
Experience in deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest), graph models, or reinforcement learning.
Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, scikit-learn, pandas.
Experience with large data analysis using pySpark
Experience with LLMs and the relevant tools in the Generative AI domain.
Experience with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, mongoDB, Cassandra.
Experience modifying and applying advanced algorithms to address practical problems
Experience with online, mobile marketing analytics
Experience with GPU programming

Additional Information

Benefits/Perks:

Great compensation package and bonus plan
Core benefits including medical, dental, vision, and matching 401K
Flexible work environment, ability to work remote, hybrid or in-office
Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html

At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others.

Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

#Li-Remote

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Security is a top priority in a world facing evolving digital threats and increasing regulatory expectations. Microsoft Security’s mission is to make the world a safer place by delivering end-to-end, simplified solutions that protect users, organizations, and developers. We accelerate Microsoft’s broader mission by securing our platforms, products, and cloud services across internal and external ecosystems.

The Central Fraud and Abuse Risk (CFAR) team builds innovative, intelligent, and scalable risk solutions that protect Microsoft’s customers and services from abuse and fraud. We combine deep security expertise, high-quality data, and engineering excellence to enable real-time and strategic decision-making. We value inclusivity, experimentation, collaboration, and a growth mindset.

We are looking for a Senior Data Scientist who is well-versed about machine learning, eager to innovate, and committed to protecting users through data-driven technologies. In this role, you will develop state-of-the-art machine learning solutions that power real-time fraud and abuse detection and decision-making. Your work will directly impact Microsoft's ability to prevent abuse, reduce financial and reputational risk, and optimize key performance indicators (KPIs) across our risk ecosystem.

This role is based in Redmond, WA. While flexibility is supported, we prefer candidates who can work on-site with minimal remote engagement to encourage deep collaboration and team cohesion.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

As a Senior Data Scientist, you will:

Understand where to acquire the data necessary for your project plan and use querying, visualization, and reporting techniques to describe that data. You’ll also explore data for key attributes and collaborate with others to perform data science experiments using established methodologies.
Understand modeling techniques, select the correct tool and approach to complete objectives, and evaluate the output for statistical and business significance.
You’ll analyze model performance and incorporate customer feedback into its evaluation.
Understand the current state of the industry, including current trends, so that you can contribute to thought leadership best practices.
You’ll write efficient code for a specific feature, and develop a working expertise of proper debugging techniques.
Understand device fingerprinting techniques, analyze the device attributes collected for device fingerprinting, identify anomalous attributes within sessions as well as across sessions.
Develop techniques to devise a unique device identifier given the device attributes.
Understand the end to end processes of the real time decision platform, e.g., where the API is defined, what the API payload looks like, how we do feature engineering, where we deploy our models, how we monitor the data flow and how we manage rules, among other things.
Understand each customer’s business goals and derive actionable insights via data analyses to meet the goals.
Examine projects through a customer-oriented focus and manage customer expectations regarding project progress and present the findings to business stakeholders.
Understand best practices for identifying growth opportunities and endeavor to stay current with the latest trends in machine learning, fraud detection, and abuse prevention.
Understand how to share knowledge and contribute to CFAR’s innovation culture.

Qualifications

Minimum Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research).

OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research).
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research).
OR equivalent experience.

3+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience.
1+ years of experience in risk scoring, bot mitigation, or anomaly detection systems.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check:

This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research).

OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research).
OR equivalent experience.

3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
3+ years experience conducting research as part of a research program (in academic or industry settings).
1+ year(s) experience developing and deploying live production systems, as part of a product team.
1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
Familiarity with device fingerprinting, fuzzy ID techniques, or entity resolution.
Proficiency with cloud platforms such as Azure, and real-time inference systems.
Communication and collaboration skills, with the ability to influence across disciplines.
Proven ability to optimize detection systems for both technical and business metrics.

Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until September 23, 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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 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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Senior Data Scientist

Senior Data Scientist

Senior Data Scientist – Digital Analytics & Predictive Modeling

Senior Data Scientist -Officer

Senior Data Scientist

Senior Data Scientist (hybrid)

Senior Data Scientist

Senior Data Scientist - Product

Senior Data Scientist - Product

Senior Data Scientist

Senior Data Scientist, Innovation Lab - Remote

Senior Data Scientist

Senior Data Scientist (LLM post training) / 高级算法科学家（大模型后训练方向）