Senior Data Scientist

Market Sciences Team within MSA is hiring Senior Data Scientist with expertise in the areas of: Causal Inference, Measurement, Experimental design, Machine Learning, Econometrics and Statistics. The team turns massive-scale data into actionable insights to drive rigorous, data-driven decisions across MSA, working closely with cross-functional partners. They lead model development, analytics and experimentation across areas such as advertiser value and lifecycle, retention and churn, segmentation and forecasting, campaign effectiveness, ROI measurement, and demand health metrics. Their work includes building measurement frameworks, causal analyses, and prototyping algorithms to optimize sales and marketing impact.

As a Senior Data Scientist in MSA Market Sciences Team, you will have the opportunity to apply your data science skills to have a real impact on Microsoft's advertising business, our advertising partners, and millions of end users. This role is a unique opportunity to work with a world-class, interdisciplinary group of data scientists, analysts, sales, and product managers. 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.

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.

Responsibilities

• Measurement: Design metrics to measure and track Microsoft advertiser demand health and inform/guide sales and marketing execution. Quantify the impact and incrementality of various sales and marketing programs.
• Experimentation: Design and analyzing the results of online and offline experiments. Using quasi-experiments and counterfactuals to understand the causality in scenarios where AB testing is not feasible.
• Demand Generation: Prototyping algorithms for creating, managing, and optimizing demand generation activities through sales, marketing, and product to support our ad marketplace
• Problem formulation: Work with key business stakeholders to understand the underlying business needs and formulate the needs into discrete, manageable problems with well-defined measurable objectives and outcomes.
• Model development: Develop new predictive and prescriptive models using advanced statistical and machine learning techniques with a goal of productionizing solutions.
• Influence: Influence stakeholders to make product/service improvements that yield customer/business value by effectively making compelling cases through storytelling, visualizations, and other influencing tools.

• 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., * Doctorate 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 Master'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 Bachelor'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 equivalent experience.

• Experience in all phases of managing data science projects including problem definition, solution formulation, model building, productionizing and delivering measurable impact.
• Hands-on experience in design & problem-solving skills with programming languages, such as Python and R and SQL-like query languages.
• Experience in applying statistics, designing experimentation, causal inference and metrics.

At Microsoft, our mission is to empower every person and organization on the planet to achieve more. We foster a culture of inclusion, growth, and innovation, built on values of respect, integrity, and accountability. If you're passionate about driving meaningful impact, solving complex problems, and contributing to a growing organization, we would love to hear from you.

Microsoft is a global technology company headquartered in Redmond, Washington. Our mission is to empower every person and every organization on the planet to achieve more. We develop, license, and support a wide range of software products, services, and devices that help individuals and businesses realize their full potential.

Our flagship products include the Microsoft 365 productivity cloud, Windows operating system, Azure cloud platform, and Dynamics 365 business applications. We are also a leader in areas such as artificial intelligence, cybersecurity, developer tools, and gaming through Xbox and Game Pass.

With operations in more than 190 countries and over 220,000 employees worldwide, Microsoft is committed to responsible innovation, inclusive economic growth, and sustainability. We work closely with governments, industries, and communities to ensure that technology serves the public good and helps address some of the world’s most pressing challenges.

As we celebrate our 50th anniversary in 2025, we continue to look forward—investing in AI, cloud, and quantum computing to shape the future of work, education, and society at large scale.