As a Staff Data Scientist, Marketing Analytics, you will be the senior analytical and strategic leader who makes marketing performance legible, credible, and actionable. You will partner closely with Growth Marketing leadership and channel owners across paid, lifecycle, and organic, plus Finance, Product, and Engineering.

Your job is to help Headway answer the questions that matter:

• What is truly incremental?

• Where should we invest next?

• What is driving performance shifts?

• How do we scale what works without fooling ourselves?

You will build the frameworks, analyses, and modeling approaches that enable the marketing team to move faster with confidence. This is high-stakes decision support for a growth engine that needs to compound and certainly not a dashboard-only role or “just attribution” role.

Responsibilities:

• Own incrementality measurement across channels. Design and analyze geo tests, holdouts, lift tests, and quasi-experimental approaches when randomized tests are not feasible. Define clear guardrails, decision rules, and what “good” looks like.

• Build a marketing measurement system that leaders trust. Define canonical metrics (CAC, LTV, payback, conversion, retention, capacity-adjusted ROI), ensure definitions are consistent, and create a clear measurement narrative that aligns Marketing, Finance, and Product.

• Turn ambiguity into a plan. When performance changes, you will diagnose why, quantify contributing drivers, and recommend concrete actions. You will be the person who can say, “Here’s what moved, here’s why we believe it moved, and here’s what we do next.”

• Develop and evolve modeling approaches where they create leverage. Build practical models such as LTV and retention forecasting, cohort value prediction, causal uplift models for lifecycle, and marketing mix modeling when appropriate. Focus on models that survive contact with reality: calibration, backtesting, and decision usefulness.

• Partner with Engineering on the measurement plumbing. Improve event instrumentation, identity resolution assumptions, offline conversion integration, and data quality monitoring so measurement is robust. Advocate for minimal, decision-critical requirements that unlock reliable learning.

• Design learning loops that scale. Create repeatable experimentation and analysis templates for channel and creative testing, including measurement of message by audience by surface. Increase testing velocity without lowering the truth standard.

• Influence strategy, not just reporting. Bring an evidence-based point of view on channel allocation, growth constraints, saturation, diminishing returns, and the tradeoffs between short-term acquisition and long-term retention and care outcomes.

• Uplevel the team. Mentor analysts and data scientists working on growth, set quality standards, and help establish best practices across experimentation, causal inference, and forecasting.

What will make you successful:

• 10+ years using data science, analytics, and experimentation to drive decisions in marketing, growth, or marketplace environments (or equivalent scope and demonstrated impact).

• Deep expertise in causal inference and incrementality in real-world marketing systems: you know the failure modes (selection bias, channel cannibalization, platform noise, attribution myths) and how to design around them.

• Strong SQL plus strong proficiency in Python or R, with the ability to build reliable, reusable analytical workflows.

• Practical modeling skill, especially as applied to marketing and growth: cohorting, forecasting, LTV estimation, saturation and diminishing returns, MMM concepts, calibration and monitoring.

• Track record of influencing executive decisions with clear recommendations and measurable outcomes, not just analysis.

• Excellent communication: you can make complex measurement logic understandable and defensible to non-technical partners, and you can call out uncertainty without losing momentum.

• High ownership and strong judgment: you prioritize what changes decisions, you move quickly, and you know when to slow down because the risk is real.

• You are motivated by the mission. Access and affordability in mental healthcare are not abstract problems here.

Nice to have:

• Experience with geo experiments, marketplace constraints, or capacity-aware marketing optimization.

• Experience measuring acquisition quality beyond conversion: downstream engagement, retention, clinical matching quality, and unit economics.

• Familiarity with lifecycle marketing measurement (incrementality, uplift, experimentation design for messaging).

• Experience partnering with Finance on budget allocation, payback, and scenario planning.

• Comfort working with imperfect identity, privacy constraints, and evolving attribution ecosystems.

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You will join a team of top-tier data scientists and become an integral part of the product organisation, helping to scale this new business.

Joining on the ground floor of this startup team, you'll partner directly with the Head of Data Science and Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Manage and scale a high performing team of data scientists

• Coach and mentor data scientists of varying experiences to ensure their continued growth

• Plan, execute, and deliver a portfolio of mission-critical data science projects for Dash Experience, and provide technical leadership in a fast-paced environment

• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies

• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written

• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities' long-term growth

• Identify what matters most and prioritise ruthlessly

Requirements

• Bachelor's or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field

• 10+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company

• 3+ years of experience directly managing data scientists or product analysts

• Proven track record of managing a portfolio of Data Science projects that improve user experience and drive measurable business impact

• Deep understanding of statistical analysis, experimentation design, and common analytical techniques

• Experience using data to inform product and business decisions that led to measurable outcomes

• Exceptional verbal and written communication skills

Preferred Qualifications

• Experience in startups or building 0→1 products

• Expertise in using data to inform AI/ML product development

• Background in SaaS product

Compensation

Canada Pay Range $187,900-$254,100 CAD

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How often do you get the opportunity to be on the ground floor of a big and important mission? As a Senior Data Scientist for Dropbox's AI-first journey, you will join a team of top-tier data scientists and become an integral part of the product organisation, helping to scale this new business.

You will partner directly with Data Science, Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities' long-term growth
• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies
• Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques
• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
• Identify what matters most and prioritise ruthlessly for the area you will own
• Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact
• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelor's or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 7+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
• Proven track record of being able to work independently, drive measurable business impact, and proactively engage with business stakeholders with minimal direction
• Proficiency in SQL, Python or other programming/scripting languages
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Ability to provide data insights and recommendations for 0→1 product even when sample size is small
• Strong verbal and written communication skills

Preferred Qualifications

• Experience in startups or building 0→1 products
• Expertise in using data to inform AI/ML product development
• Background in SaaS product

Compensation

US Zone 2: $173,700-$234,900 USD US Zone 3: $154,400-$208,800 USD

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Joining on the ground floor of this startup team, you'll partner directly with Data Science, Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities' long-term growth
• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies
• Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques
• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
• Identify what matters most and prioritise ruthlessly for the area you will own
• Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact
• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelor's or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 7+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
• Proven track record of being able to work independently, drive measurable business impact, and proactively engage with business stakeholders with minimal direction
• Proficiency in SQL, Python or other programming/scripting languages
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Ability to provide data insights and recommendations for 0→1 product even when sample size is small
• Strong verbal and written communication skills

Preferred Qualifications

• Experience in startups or building 0→1 products
• Expertise in using data to inform AI/ML product development
• Background in SaaS product

Compensation

Canada Pay Range $162,400-$219,600 CAD

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We're looking for a Growth PM who can own the next chapter of how Alchemy grows. This is a high-impact, high-autonomy role at the intersection of product, engineering, and go-to-market , and the surface area is expanding fast.

You'll bring structure to ambiguity, move fast, and build something that compounds. You'll have full end-to-end ownership of the growth motion , strategy, experimentation, and the number. You'll have a direct line to leadership, high visibility across the org, and the resources to move fast and make a real dent.

Responsibilities:

• Own the full growth funnel , set the strategy, define the metrics, and drive acquisition, activation, retention, and expansion across our developer platform
• Identify and build the compounding loops that turn great developer experience into organic growth , referrals, word of mouth, community, virality
• Deeply instrument the product to understand where developers convert, where they drop off, and what moves the needle
• Run a high-velocity experimentation program , rapid A/B tests, sharp hypotheses, and a relentless focus on finding what works
• Unlock new growth channels: SEO, lifecycle, partnerships, PLG motions , and figure out which bets compound fastest at our scale
• Open up an entirely new growth surface: AI agents are becoming first-class users of developer platforms, and nobody has cracked how to acquire, activate, and retain them yet

Requirements:

• 4+ years in product, 2–3+ with true end-to-end ownership of growth , you've moved a metric that mattered and can show your work
• Deep growth craft , funnel analysis, cohort modeling, experimentation design, channel strategy. You think in loops, not campaigns
• Experience with developer-facing or API-first products , Web2 (Stripe, Twilio, Vercel) or Web3, fluency in either translates
• Analytical and decisive , you build models fast, pressure-test assumptions, and act on signal
• Strong enough to align engineering, marketing, and sales around a growth motion without direct authority

Benefits and Perks:

• Medical, Dental, & Vision
• Gym Reimbursement
• Home Office Build-out Budget
• In-Office Group Meals
• Wellbeing & Mental Health Perks
• Learning & Development Stipend
• Company Sponsored Conferences & Events
• HSA and FSA Plans
• Fertility Benefits

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In this role, you'll define how we measure performance, prioritize investments, and accelerate value creation across the customer lifecycle , with a high bar for rigor and a bias toward execution. You'll partner closely with Product, Engineering, Marketing, Sales, and Finance to ensure our most important decisions are grounded in trusted data and clear experimentation frameworks.

Key responsibilities include:

• Lead and develop a team of Data Scientists embedded across go-to-market, growth product, monetization, and core product experiences
• Define the measurement and experimentation strategy across the customer lifecycle , from acquisition and activation to monetization, expansion, and retention , ensuring our investments are grounded in rigorous analysis and trusted data
• Elevate the craft of experimentation, pricing and monetization analytics, and commercial performance measurement, balancing analytical precision with decision velocity
• Partner closely with Product, Marketing, Sales, and Finance to shape roadmaps, evaluate ROI, and guide revenue forecasting and capital allocation decisions
• Translate complex quantitative signals into clear insights that influence product direction and revenue strategy
• Increase team leverage by building scalable analytics systems and self-serve capabilities that power reliable, AI-enabled insights across growth, monetization, and core product experiences
• Operate effectively in ambiguity, setting clear priorities that balance user value, growth, and long-term business impact

Requirements include:

• 10+ years of experience, with 3+ years leading high-performing data teams
• Deep experience in growth, monetization, and product analytics, along with a proven track record of partnering with Product, Marketing, Sales, and Finance to shape roadmaps and drive revenue outcomes
• Strong business judgment, with the ability to balance analytical rigor with decision velocity in high-impact commercial environments
• Highly fluent in experimentation design, attribution, and causal inference, with the ability to raise the bar on analytical craft across a team of senior ICs
• Experience building scalable analytics frameworks and self-serve capabilities that increase leverage and support AI-enabled insight generation within growth and product domains
• Thrive in ambiguity, setting clear priorities that balance user value, growth, and long-term business impact

Total rewards package includes base salary, equity (stock options), and benefits. Salary and equity ranges are highly competitive within the SaaS and fintech industry.

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We are seeking a highly skilled Data Scientist III to join our EADP Gameplay Services team. As a Data Scientist III, you will play a key role in analysing complex matchmaking datasets to identify patterns, trends, and opportunities that drive data-informed business decisions.

We Are EA

Our platform powers online features for EA’s games, serving millions of users each day. We live, breathe, and dream about how we can make every player’s multiplayer experience memorable. We develop services and SDKs in collaboration with EA’s game studios for matchmaking, stats and leaderboards, achievements, game replays, VOIP, and game networking.

Opportunity Ahead

Our primary mission is to enrich the player’s gaming experience by meticulously optimising the matchmaking process. We believe that effective matchmaking is the cornerstone of any successful multiplayer gaming experience, and we are committed to perfecting this aspect of our service. We continuously reflect and probe various elements to ensure the player’s gaming encounters are both fun and challenging

Key Responsibilities

• Analyse complex matchmaking datasets to identify patterns, trends, and opportunities that drive data-informed business decisions.
• Perform data exploration, mining, and feature engineering to create high-quality datasets for model development.
• Ensure data integrity and governance through robust validation, preprocessing, and quality assurance processes.
• Own model lifecycle including retraining, validation, performance monitoring, and scalability improvement.
• Define experimentation strategy (A/B testing, causal inference) and measure impact on core gameplay KPIs
• Partner with product, business, and engineering to identify new data acquisition opportunities.
• Create reusable analytical tools, libraries, and metrics that enable data-driven decisions.
• Collaborate with data engineers and software engineer across teams to serve their data needs.
• Evangelise data as a first-class citizen through documentation, standards, and reviews.

Must Have Skills

• Bachelor’s or master’s degree in computer science, Data Science, AI/ML, Statistics, or a related field (or equivalent professional experience)
• 5+ years of experience in data science, analytics, or ML engineering with a strong record of deploying scalable ML solutions.
• Solid understanding of statistical modelling, including probability distributions, regression analysis, and hypothesis testing.
• Strong understanding of experimentation design and A/B testing frameworks
• Expert proficiency in Python frameworks (PyTorch, Scikit-learn).
• Experience with model monitoring and drift detection
• Experience in handling large-scale and high-dimensional datasets using distributed data processing tools (Spark, Snowflake, Databricks).
• Strong communication skills with the ability to translate complex models into business impact.

Desirable Skills

• Experience in gaming analytics or player behaviour modelling
• Experience building recommendation or ranking systems
• Experience with cloud platforms (AWS/GCP/Azure)

What’s in it for you? Glad you asked!

We love to brag about our great perks like Global fitness program, Sodexo (Food Coupons), Parental Insurance & Medical, Accident & life insurance and since we realise it takes world-class people to make world-class games, we offer competitive compensation packages and a culture that thrives off creativity and individuality. At EA, we live the “work hard/play hard” credo every day.

_About Electronic Arts_

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

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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 Measurement Lead to join their team in Redmond. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the AI industry. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Measurement Lead, you will be responsible for developing and applying measurement frameworks to quantify advertising impact. You will partner with internal and external stakeholders to understand measurement needs, goals, and business outcomes for advertisers. You will also build and maintain solid relationships with client's measurement, data science, and analytics teams as trusted strategic advisors.

Accountabilities

• Partner with internal and external stakeholders to understand measurement needs, goals, and business outcomes for advertisers.
• Develop and apply measurement frameworks — including attribution, incrementality, experimentation, cross-channel measurement, and insights — to quantify advertising impact.

The Candidate we're looking for

Experience:

• Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 3+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 4+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience.

Technical skills:

• Proven expertise in modern measurement methodologies such as attribution, incrementality, experimentation design, and lift studies.
• Ability to translate complex data and analysis into business insights and strategic recommendations.

Personal attributes:

• Solid cross-functional collaboration and communication skills.
• Experience in digital platforms or advertising measurement roles at scale.

Benefits

• Competitive salary range of USD $106,400 – $203,600 per year.
• Comprehensive benefits package including health insurance, retirement plan, and paid time off.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft Ads are looking for a talented Measurement Lead at their San Francisco office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising advertising technology. You'll work directly with leadership to shape the company's direction in the measurement and insights markets.

About the Role

We are seeking a Measurement Lead to join the Global Measurement and Insights (GMI) team and serve as a measurement, data and identity subject-matter expert, executing on measurement strategy and leveraging measurement solutions to empower advertisers to prove business impact in a privacy-safe world. You will play a pivotal role in shaping how advertisers quantify media effectiveness, develop advanced measurement approaches, and leverage data and identity to drive better decisions across Microsoft AI-enabled surfaces.

Accountabilities

• Partner with internal and external stakeholders to understand measurement needs, goals, and business outcomes for advertisers.
• Develop and apply measurement frameworks — including attribution, incrementality, experimentation, cross-channel measurement, and insights — to quantify advertising impact.

The Candidate we're looking for

Experience:

• Master’s Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 3+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR Bachelor’s Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 4+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience.

Technical skills:

• Proven expertise in modern measurement methodologies such as attribution, incrementality, experimentation design, and lift studies.
• Ability to translate complex data and analysis into business insights and strategic recommendations.

Personal attributes:

• Solid cross-functional collaboration and communication skills.
• Experience in digital platforms or advertising measurement roles at scale.

Benefits

• Competitive salary range: $106,400 - $203,600 per year.
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft Ads are looking for a talented Measurement Lead at their Chicago office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising intelligent, privacy-forward measurement systems. You'll work directly with leadership to shape the company's direction in the measurement and insights markets.

About the Role

We are seeking a Measurement Lead to join the Global Measurement and Insights (GMI) team and serve as a measurement, data and identity subject-matter expert, executing on measurement strategy and leveraging measurement solutions to empower advertisers to prove business impact in a privacy-safe world. You will play a pivotal role in shaping how advertisers quantify media effectiveness, develop advanced measurement approaches, and leverage data and identity to drive better decisions across Microsoft AI-enabled surfaces.

Accountabilities

• Partner with internal and external stakeholders to understand measurement needs, goals, and business outcomes for advertisers.
• Develop and apply measurement frameworks — including attribution, incrementality, experimentation, cross-channel measurement, and insights — to quantify advertising impact.

The Candidate we're looking for

Experience:

• Master’s Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 3+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR Bachelor’s Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 4+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience.

Technical skills:

• Proven expertise in modern measurement methodologies such as attribution, incrementality, experimentation design, and lift studies.
• Ability to translate complex data and analysis into business insights and strategic recommendations.

Personal attributes:

• Solid cross-functional collaboration and communication skills.
• Experience in digital platforms or advertising measurement roles at scale.

Benefits

• Work arrangements: Hybrid
• Health and wellbeing benefits
• Professional development opportunities
• Financial benefits (bonus, equity, pension, etc.)
• Cultural perks (team events, office amenities, etc.)

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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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Microsoft Ads are looking for a talented Measurement Lead at their New York 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 digital advertising market.

About the Role

As a Measurement Lead, you will be responsible for developing and applying measurement frameworks to quantify advertising impact. You will partner with internal and external stakeholders to understand measurement needs, goals, and business outcomes for advertisers. You will build and maintain solid relationships with client's measurement, data science, and analytics teams as trusted strategic advisors. You will synthesise feedback from clients and inform product roadmaps and prioritisation based on measurement gaps, customer needs, and industry trends.

Accountabilities

• Partner with internal and external stakeholders to understand measurement needs, goals, and business outcomes for advertisers.
• Develop and apply measurement frameworks — including attribution, incrementality, experimentation, cross-channel measurement, and insights — to quantify advertising impact.

The Candidate we're looking for

Experience:

• Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 3+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 4+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience.

Technical skills:

• Proven expertise in modern measurement methodologies such as attribution, incrementality, experimentation design, and lift studies.
• Ability to translate complex data and analysis into business insights and strategic recommendations.

Personal attributes:

• Solid cross-functional collaboration and communication skills.
• Experience in digital platforms or advertising measurement roles at scale.

Benefits

• Competitive salary range: $106,400 - $203,600 per year.
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.
• Recognition and rewards for outstanding performance.

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What you'll do

We are looking for a Senior Manager of Analytics to lead the data strategy, insight generation, and experimentation across all EA Mobile titles currently live and in development.

• Hire, manage, mentor, and grow a team of analysts, creating a collaborative and high-impact team culture
• Lead the design and implementation of foundational data infrastructure, including telemetry, KPIs, and reporting for mobile titles

What you need

• 5+ years of experience in analytics or data science
• 2+ years of experience managing people, with a focus on performance development and team building

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