Senior Data Scientist - Product Analytics - XBOX Growth

Microsoft • Redmond, WA

1d • $119,800 - $261,000

About The Position

XBOX Growth Intelligence is seeking a Senior Data Scientist, Product Analytics to partner with Product, Engineering, and cross-functional leaders in shaping XBOX product experiences. The role uses data to guide product strategy and execution by helping teams understand player behavior, identify growth opportunities, measure business impact, and accelerate decision-making. The position supports product teams in prioritizing investments and translating insights into measurable improvements in daily active users, retention, and engagement. The Senior Data Scientist serves as a strategic analytics partner to Product and Business leaders, combining analytical rigor and product intuition to influence leaders with actionable insights.

Requirements

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field and at least 1 year of data-science experience; or a master's degree in one of these fields and at least 3 years of data-science experience; or a bachelor's degree in one of these fields and at least 5 years of data-science experience; or equivalent experience.
• Data-science experience includes managing structured and unstructured data, applying statistical techniques, and reporting results.

Nice To Haves

• Expertise in SQL, Python, or R and agentic AI tools.
• Extensive experience in experimentation, causal inference, forecasting, and machine-learning modeling.
• Executive communication skills to translate ambiguous business questions or technical details into structured analyses and actionable recommendations.
• Ability to influence senior stakeholders' decisions through data-driven recommendations.

Responsibilities

• Lead ecosystem-level analyses across XBOX experiences.
• Inform and influence high-stakes C-level investment decisions through data-driven insights.
• Apply econometric, statistical, and causal inference methods to evaluate growth and optimization opportunities in audience reach, engagement, and monetization.
• Design, build, and evaluate experiments and incrementality measurement frameworks and models to validate hypotheses and measure investment ROI.
• Use agentic AI tools to create reusable analytical assets and self-service capabilities.
• Mentor team members and raise the analytical bar across the organization.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior