Principal Data Scientist & Analytics

Microsoft•Redmond, WA

8h•Hybrid

About The Position

We are inviting you to join the Microsoft Monetization Marketplace Management Team. The Microsoft Advertising platform is a single stop shop for global publisher and advertiser monetization needs. Our team owns the health and performance of the marketplace—monitoring and defining business metrics, building analytics and experimentation frameworks, and enabling leadership to make high‑confidence, data‑driven decisions. We partner closely across Engineering, Product, and Business to solve complex data science, analytics, and product operations challenges spanning users, advertisers, and publishers. We are looking for high‑energy, creative science and analytics leaders with a solid strategic product and GTM mindset who thrive in fast‑moving environments and enjoy solving real‑world problems using data. In this role, you will help drive data‑informed go-to-market strategy, product‑led growth, and monetization initiatives across diverse industries, shaping how products scale from early experimentation through broad adoption. The ideal candidate brings proven experience launching and scaling products from beta to public release, achieving rapid user and revenue growth through disciplined experimentation, solid product adoption strategies, continuous UX improvement, and developing metrics. You are comfortable operating in ambiguity, challenging the status quo, and translating insights into clear actions that accelerate business impact. You will also play a key leadership role—building and scaling high‑impact teams, fostering solid cross-team collaboration, and bridging strategy and execution to deliver measurable outcomes in entrepreneurial, fast-paced environments. We are especially excited about candidates who are AI‑native and passionate about product and technology innovation, with a desire to empower creators, enable partners, and build scalable ecosystems that amplify both creative expression and business results. If you are curious, analytically rigorous, and motivated to drive durable growth at the intersection of data, product, and marketplace dynamics, this role offers a unique opportunity to shape the future of monetization at Microsoft. 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. Starting January 26, 2026, Microsoft AI (MAI) 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. This expectation is subject to local law and may vary by jurisdiction.

Requirements

Doctorate 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 Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ 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 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience.
5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++
Great organizational, analytical, data science skills and intuition
Fantastic problem solver: ability to solve problems that the world has not solved before
Interpersonal skills: cross-group and cross-culture collaboration.
Experience with real world system building and data collection, including design, coding and evaluation
Excellent communication to be able to communicate insights to senior leaders.
Experience with driving large collaboration across multiple teams.
Experience with communicating with different audiences to provide insights
Demonstrated experience in applying statistics, experimentation and metrics to generate clear actionable insights.

Nice To Haves

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years 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 10+ 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 12+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

Responsibilities

Product Insights: Deliver and interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve products.
Measurement: Define, invent, and deliver metrics which accurately measure user and business value across various products and marketplace components.
Experimental Design & Implementation: Think critically about sampling and experimental design across User and Demand dimensions. Translate strategy into plans that are clear and measurable, with progress shared out to stakeholders.
Collaboration: Partner effectively with program management, engineers, and other areas of the business across our Consumer online business.
Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-driven workflows that influence product and service improvements.
Make independent decisions for the team and handle difficult tradeoffs.
Translate strategy into plans that are clear, actionable and measurable to drive impact.

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