Data Scientist, Product Analytics, XBOX Growth
About The Position
XBOX Growth Intelligence is seeking a Data Scientist, Product Analytics to partner with Product, Engineering, and cross-functional business owners to improve XBOX experiences through data-driven decision making. The role helps teams understand player behavior, measure product performance, identify growth opportunities, and evaluate product investments. It addresses high-impact product challenges across XBOX through experimentation, measurement, forecasting, and behavioral analytics. The Data Scientist enables product teams to make data-driven investment decisions and deliver actionable insights that contribute to measurable improvements in DAU, retention, engagement, and other business outcomes. The role also builds reusable analytical solutions that accelerate decision-making across XBOX.
Requirements
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field; or a master's degree in one of these fields and at least 1 year of data-science or consulting experience; or a bachelor's degree in one of these fields and at least 2 years of data-science experience; or equivalent experience.
- Data-science experience may include managing structured and unstructured data, applying statistical techniques, and reporting results.
Nice To Haves
- Experience using SQL, Python, R, and agentic AI tools.
- Experience applying experimentation, statistical analysis, forecasting, or product analytics techniques to business problems.
- Written and verbal communication skills.
- Ability to work effectively in cross-functional environments.
Responsibilities
- Partner with Product Managers, Engineers, and cross-functional business owners to understand product challenges.
- Identify and size opportunities to improve player experience and business outcomes.
- Influence the Product roadmap and establish operating metrics and targets to measure impact.
- Analyze player acquisition, engagement, retention, monetization, and lifecycle behavior patterns.
- Translate business questions into structured analysis and actionable recommendations that inform hypotheses.
- Design and interpret A/B test learnings and recommend next iterations.
- Build reusable analytical assets and contribute to self-service measurement capabilities.
- Partner with data engineering teams to improve telemetry, data quality, and measurement infrastructure.
Benefits
- Certain roles may be eligible for benefits and other compensation; additional benefits and pay information is available through the provided Microsoft careers link.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
