As a Senior Data Scientist, you will sit in the heart of a cross-functional product team and help turn messy, real-world signals into clear decisions. You will make sure we are capturing the right data, designing experiments that tell us what is actually driving outcomes, and translating findings into recommendations that teams can act on quickly.

When the insight is stable and valuable, you will help operationalize it through predictive models that improve provider and patient experiences.

Key responsibilities include:

• Being the analytics partner inside the pod, working closely with Product, Engineering, Design, Ops, and Clinical stakeholders to define questions, metrics, guardrails, and decision rules.
• Running rigorous experiments, designing and analyzing A/B tests and quasi-experiments with clear hypotheses, power considerations, and pre-defined success criteria.
• Connecting behavior to strategy, using funnel, cohort, segmentation, and lifecycle analysis to understand how people and providers experience Headway, and where product changes will have the biggest impact.
• Using causal inference when experiments are not possible, applying approaches like diff-in-diff, matching, and regression-based designs with principled uncertainty quantification.
• Building models when they should exist, developing predictive models that operationalize vetted insights (feature development, validation, backtesting, calibration), with clear launch criteria and monitoring plans.
• Creating decision-ready work, producing analysis and narratives that are crisp, honest about uncertainty, and drive action.

To be successful in this role, you will need:

• 6+ years using data to drive product or business decisions in product, growth, engineering, or operations environments.
• Strong SQL and strong proficiency in Python or R for analysis and modeling.
• Demonstrated depth in experimentation and causal inference under real-world constraints.
• Practical modeling skill: feature engineering, model comparison, cross-validation or backtesting, calibration, and post-launch monitoring.
• Strong product sense and opinions, including a track record of connecting analytics recommendations to measurable outcomes.
• Clear communication: you can explain complex work to non-technical audiences without losing the truth.
• A self-starter mindset: you prioritize well, follow through, and do not need heavy oversight.
• Motivation for our mission: improving access and affordability in mental healthcare.

The expected base pay range for this position is $180,000 - $225,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

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As a Senior Data Scientist, you'll partner with product teams to help them identify important questions and answer those questions with data. You'll work closely with product managers, designers, and engineers to develop key product success metrics, set targets, measure results, and outcomes, and size opportunities.

You'll design, build, and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables. You'll also partner closely with product researchers to build a holistic understanding of our customers, products, and business.

Increasingly, you'll use AI-assisted tools to accelerate analysis, coding, and insight generation. You'll identify opportunities to automate your own workflows and reduce time spent on repetitive tasks. You'll build scalable data products that enable stakeholders to self-serve insights and raise the bar for how AI is used within RAD.

Key responsibilities include:

• Partnering with product teams to help them identify important questions and answer those questions with data
• Working closely with product managers, designers, and engineers to develop key product success metrics, set targets, measure results, and outcomes, and size opportunities
• Designing, building, and updating end-to-end data pipelines
• Partnering closely with product researchers to build a holistic understanding of our customers, products, and business
• Using AI-assisted tools to accelerate analysis, coding, and insight generation
• Identifying opportunities to automate your own workflows and reduce time spent on repetitive tasks
• Building scalable data products that enable stakeholders to self-serve insights

Requirements include:

• 5+ years of experience working with data to solve problems and drive evidence-based decisions
• Strong SQL skills and solid grounding in statistics
• Experience working closely with product teams
• Proven track record of delivering actionable insights that drive measurable impact with minimal supervision
• Strong product intuition, business acumen, and ability to connect analysis to strategy
• Excellent communication skills (technical and non-technical), with a focus on driving decisions and outcomes
• Strong ownership, curiosity, and growth mindset
• Experience with a scientific computing language (e.g., Python)

Preferred skills include:

• Experience with data modeling and ETL pipelines (esp. dbt)
• Experience building internal tools, data products, or self-serve analytics capabilities
• Experience leveraging AI across the data workflow - from ideation and coding to analysis and communication

Benefits include:

• Competitive salary and equity in a fast-growing start-up
• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Open vacation policy and flexible holidays so you can take time off when you need it
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

Experience Level: Senior Employment Type: Full-time Workplace Type: Hybrid Category: Engineering Industry: Technology Salary Range: Competitive salary and equity in a fast-growing start-up Required Skills: SQL, statistics, experience working with product teams, strong product intuition, business acumen, excellent communication skills, strong ownership, curiosity, and growth mindset, experience with a scientific computing language (e.g., Python) Preferred Skills: data modeling and ETL pipelines (esp. dbt), building internal tools, data products, or self-serve analytics capabilities, leveraging AI across the data workflow

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Responsibilities:

• Lead and execute complex data science projects that directly advance our drug development portfolio
• Develop and implement sophisticated models for therapeutic hypothesis evaluation, including patient stratification and biomarker identification
• Design and create AI models for modernizing clinical trial evaluations, including surrogate endpoints
• Aid in the development and training of AI agents to automate and optimize biomedical workflows
• Collaborate cross-functionally with clinical, technical, and research teams
• Present complex analytical findings to senior stakeholders, including executive leadership

About You:

• Required Qualifications:

+ PhD in computational sciences or life sciences + 3+ years of post-academic experience in life sciences (biotech, pharma, consulting) + Strong programming skills, particularly in Python + Extensive experience in multi-modal bioinformatics analysis

• Preferred Qualifications:

+ Proven expertise in cloud computing environments, including proficiency with tabular and/or graph databases + Strong background in machine learning and deep learning, particularly in biological applications + Experience with large language models (LLM) + Demonstrated ability to collaborate effectively with engineering teams on production systems + Strong communication skills with proven ability to present complex technical findings to senior stakeholders

Total Compensation Range: $170,000 - $215,000

Where We Hire:

Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered.

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As a member of Medium’s Machine Learning & Insights team, you’ll partner closely with stakeholders across teams to help deepen our collective understanding of Medium’s members, writers, and business through data.

You'll work alongside our Principal Scientist, contributing methodological rigor to strategic initiatives while owning end-to-end research and model development in your domain.

This is a unique role for someone with a track record of solving big, ambiguous problems at the intersection of data, product, and business strategy.

You’ll do more than ivory-tower modeling; you’ll help us define what “content quality” looks like, design better experiments, and ship real product changes to users.

If you love both statistical rigor and real-world business impact, this might be the role for you!

Key Responsibilities

• Proactively identify valuable areas of investigation that help deepen our understanding of our members, writers, and overall business.

• Partner with diverse technical and non-technical stakeholders across the company to develop hypotheses and generate actionable insights in their domains.

• Work with executives at Medium, including our CEO, to model and present data insights and findings.

• Build and maintain statistical and predictive models about Medium’s business.

• Run research projects and investigations, small and large, for leadership and cross-functional partners.

• Develop and maintain quantitative models that support forecasting and strategic planning.

• Share knowledge with and mentor engineers and other stakeholders to improve their own analytics capabilities.

• Contribute to the broader data culture and ecosystem at Medium, helping to raise our data fluency as a team.

• Attend Medium’s twice-yearly, in-person offsites (hosted in locations around the U.S.).

Skills, Knowledge and Expertise

• You know your way around data. You have 4-6 years of experience as an in-house data scientist, with a proven track record of driving business impact through data.

• You're highly proficient in statistical programming with either Python or R, and you’re comfortable writing SQL for analytical queries. (Python skills are strongly preferred. Our team uses Python extensively, and we’ll be expecting candidates to demonstrate Python scripting skills during the interview process.)

• You have a track record of building, validating, and deploying predictive and statistical models that drove measurable business outcomes.

• You're a strong collaborator with an established history of cross-team and executive-level partnership.

• You care about quality writing, informed readership, and building a sustainable model for creators. Experience applying modeling techniques to problems unique to social platforms, subscription/membership businesses, or publishing is a plus.

• Experience with ML engineering practices, dbt, or data engineering is a plus! We're a small team, and the folks who do best are those who like to wear many hats.

Benefits

In addition to the new skills you'll pick up, here's what else you'll enjoy by working at Medium:

• Working with a fully distributed team: We’re fully remote and have teammates across the U.S. & France.

• Healthcare benefits covered at 100% for employees and 70% for dependents.

• Generous parental leave policy.

• Mental health support through Talkspace.

• Financial wellness support through Northstar.

• Stipends for co-working, professional development, wifi, and a one-time home office bonus.

• Unlimited PTO and standard company holidays.

• A discounted Medium membership!

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Responsibilities:

• Design, develop, and deploy end-to-end GenAI solutions (RAG, AI agents, agentic workflows, prompt engineering).
• Integrate AI solutions into existing systems, applications, and business processes.
• Implement LLMOps practices, including Docker containerization, CI/CD pipelines, and versioning strategies.
• Ensure monitoring, observability, cost optimization, and rollback mechanisms for production AI services.
• Define and execute evaluation frameworks (hallucination metrics, A/B testing, offline/online validation).
• Apply security, compliance, and governance guidelines for GenAI implementations.
• Collaborate with stakeholders and contribute to AI delivery standards and onboarding practices.

Requirements:

• Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related field.
• Very strong expertise in Python and software engineering (APIs, testing, code reviews).
• Practical experience with RAG architectures, vector databases, and agentic AI workflows.
• Hands-on experience deploying production-grade AI services.
• Solid knowledge of Docker and CI/CD pipelines.
• Understanding of ML fundamentals, evaluation concepts, and LLM behavior.
• Familiarity with cloud environments (preferably Azure) and distributed systems.
• Strong analytical and problem-solving skills.
• Very good level of English.
• Autonomous, reliable, and team-oriented mindset.

What you will get:

• A role with true technical ownership: architecture, scaling, and governance decisions that directly impact production AI solutions.
• Complex projects that go beyond “just pipelines” – covering big data processing and large-scale ML/DL deployment.
• Opportunities to deepen your expertise in Databricks, cloud-native ML, and MLOps.
• A team where your input and technical decisions truly matter.
• A competitive package and benefits.

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Microsoft Advertising are looking for a talented Senior Data Scientist at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising digital advertising technology. You'll work directly with leadership to shape the company's direction in the online marketplace.

About the Role

We are inviting you to join the Microsoft Advertising Data Science Team. Our team manages the marketplace, which includes monitoring business metrics, defining metrics, building analytical & experimentation frameworks, and enabling leadership to make data driven decisions. The team works across Engineering, Product and Business to address complex data science problems across users, advertisers, and publishers. We are looking for a Senior Data Scientist who is willing to work in a dynamic environment to solve real life day to day problems, leveraging data science techniques. You will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data driven solutions to ambiguous problems.

Accountabilities

• Conduct in-depth market research across online advertising sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions
• Develop and maintain complex data models and algorithms to drive business insights and decision-making

The Candidate we're looking for

Experience:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

Technical skills:

• 5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++

Personal attributes:

• Committed organizational, analytical, data science skills

Benefits

• Competitive salary
• Comprehensive benefits package
• Professional development opportunities
• Flexible work arrangements
• Collaborative and dynamic work environment

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Microsoft Advertising are looking for a talented Senior Data Scientist at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the advertising technology industry. You'll work directly with leadership to shape the company's direction in the digital marketing space.

About the Role

We are inviting you to join the Microsoft Advertising Data Science Team. The team works across Engineering, Product and Business to address complex data science problems across users, advertisers, and publishers. As a Senior Data Scientist, you will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data driven solutions to ambiguous problems.

Accountabilities

• Conduct in-depth market research across digital marketing sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions
• Develop and maintain complex data models and algorithms to drive business insights and decision-making

The Candidate we're looking for

Experience:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

Technical skills:

• 5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++

Personal attributes:

• Committed organizational, analytical, data science skills

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

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Microsoft AI are looking for a talented Senior Data Scientist at their Beijing office. This role sits at the intersection of cutting-edge data science, marketplace economics, and product innovation. You will leverage petabytes of advertising data to drive marketplace efficiency, advertiser success, and revenue growth across our platform, as well as journey.

About the Role

As part of the Live Marketplace Management team, you will define and optimize marketplace health metrics (e.g., supply-demand balance, auction dynamics, fill rates, match rates) to ensure efficiency and revenue protection. You will monitor and diagnose marketplace anomalies, identify root causes, and implement solutions to maintain stability and uncover growth opportunities. You will also design troubleshooting frameworks and explore AI-driven solutions to improve live marketplace operations.

Accountabilities

• Define and optimize marketplace health metrics (e.g., supply-demand balance, auction dynamics, fill rates, match rates) to ensure efficiency and revenue protection.
• Monitor and diagnose marketplace anomalies, identify root causes, and implement solutions to maintain stability and uncover growth opportunities.

The Candidate we're looking for

Experience:

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

Technical skills:

• Proficiency in Python, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Experience with cloud platforms (Azure preferred) and big data technologies.

Personal attributes:

• Excellent communication and stakeholder management skills.
• Proficient English communication oral or in written.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Senior Data Scientist at their Beijing office. This role sits at the intersection of product, data science, and engineering to define success metrics, design rigorous experiments, build scalable analytics frameworks, and generate actionable insights that improve user experience, product quality, and business outcomes.

About the Role

As a Senior Data Scientist, you will work at the intersection of product, data science, and engineering to define success metrics, design rigorous experiments, build scalable analytics frameworks, and generate actionable insights that improve user experience, product quality, and business outcomes. You will partner closely with Product Managers, Engineers, Designers, and cross-functional stakeholders to drive data-informed decisions from concept to launch. As part of Microsoft AI, you will contribute to building intelligent and trustworthy Copilot experiences that are measurable, explainable, and continuously improving at scale.

Accountabilities

• Define and evolve product health metrics for Copilot experiences (e.g., quality, engagement, retention, latency, reliability, and task success).
• Design and execute A/B tests and quasi-experimental analyses to evaluate feature impact and guide roadmap prioritization.

The Candidate we're looking for

Experience:

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

Technical skills:

• Solid hands-on skills in Python and SQL; experience with large-scale data processing and analytical workflows.
• Solid foundation in statistical modeling, experimentation design, hypothesis testing, and causal inference.

Personal attributes:

• Solid problem-solving skills and the ability to drive end-to-end analytical projects with high ownership.
• Excellent communication skills in English (written and verbal), with the ability to influence cross-functional partners.

Benefits

• Starting January 26, 2026, Microsoft AI employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
• Commitment to high standards in data quality, privacy, and responsible AI practices.

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Microsoft AI are looking for a talented Senior Data Scientist at their Suzhou office. This role sits at the heart of shaping the next generation of AI-powered experiences across devices and surfaces. You'll work directly with leadership to define success metrics, design rigorous experiments, build scalable analytics frameworks, and generate actionable insights that improve user experience, product quality, and business outcomes.

About the Role

In this role, you will work at the intersection of product, data science, and engineering to define success metrics, design rigorous experiments, build scalable analytics frameworks, and generate actionable insights that improve user experience, product quality, and business outcomes. You will partner closely with Product Managers, Engineers, Designers, and cross-functional stakeholders to drive data-informed decisions from concept to launch. As part of Microsoft AI, you will contribute to building intelligent and trustworthy Copilot experiences that are measurable, explainable, and continuously improving at scale.

Accountabilities

• Define and evolve product health metrics for Copilot experiences (e.g., quality, engagement, retention, latency, reliability, and task success).
• Design and execute A/B tests and quasi-experimental analyses to evaluate feature impact and guide roadmap prioritization.

The Candidate we're looking for

Experience:

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

Technical skills:

• Solid hands-on skills in Python and SQL; experience with large-scale data processing and analytical workflows.
• Solid foundation in statistical modeling, experimentation design, hypothesis testing, and causal inference.

Personal attributes:

• Solid problem-solving skills and the ability to drive end-to-end analytical projects with high ownership.
• Excellent communication skills in English (written and verbal), with the ability to influence cross-functional partners.

Benefits

• Starting January 26, 2026, Microsoft AI employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
• This role requires effective collaboration across regions and time zones.
• Ability to work in a fast-paced environment with evolving priorities and ambiguous problem spaces.
• Commitment to high standards in data quality, privacy, and responsible AI practices.

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What you'll do

This Senior Data Scientist role will focus on designing and developing advanced AI-driven solutions for game developers and gamers. The ideal candidate will have strong expertise in Reinforcement Learning (RL), Generative AI agents, and Retrieval-Augmented Generation (RAG) to create intelligent gaming tools and experiences.

• Research, design, and implement rewards-based agents using Reinforcement Learning (RL) for testing gaming applications.
• Develop and optimize agents and advanced RAG-based solutions for dynamic game content creation, adaptive player interactions, and enhanced gaming experiences.

What you need

• Strong background in Reinforcement Learning (RL), Generative AI agents, and RAG (Retrieval-Augmented Generation).
• Proficiency in Python and experience with PyTorch or TensorFlow for deep learning.

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What you'll do

This role involves working closely with AI engineers, game developers, and software engineers to build cutting-edge AI capabilities that enhance game mechanics, player engagement, and content generation.

• Research, design, and implement rewards-based agents using Reinforcement Learning (RL) for testing gaming applications.
• Develop and optimize agents and advanced RAG-based solutions for dynamic game content creation, adaptive player interactions, and enhanced gaming experiences.

What you need

• Strong background in Reinforcement Learning (RL), Generative AI agents, and RAG (Retrieval-Augmented Generation).
• Proficiency in Python and experience with PyTorch or TensorFlow for deep learning.

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