Data Scientist, Product Analytics, XBOX Growth
Redmond, WA, US; San Francisco, CA, US
- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingEmbed with product managers and engineers to understand product challenges
Analyze player acquisition, engagement, retention, monetization and lifecycle patterns
Design and interpret A/B test results and recommend next iterations
Size opportunities and set operating metrics to measure product impact
Build reusable analytical assets and self-service measurement tools
From the employer’s posting
Embed with Product Managers, Engineers, and cross-functional business owners to understand product challenges.
Analyze player acquisition, engagement, retention, monetization, and lifecycle behavior patterns.
Design and interpret A/B test learnings. Recommend next iterations.
Identify and size opportunities to improve player experience and business outcomes.
Build reusable analytical assets and contribute to self-service measurement capabilities.
Tools in this posting
- Python
- R
- SQL
Source — Tool mentions in context
Embed 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 Product roadmap and set up 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 to inform hypotheses. Design and interpret A/B test learnings. 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. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree 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 consulting experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Experience using SQL and 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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 10, 2026 · 49 days ago
- Recorded sightings
- 61
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on apply.careers.microsoft.com. The employer’s form will show what is required.
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Job description
Embed 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 Product roadmap and set up 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 to inform hypotheses. Design and interpret A/B test learnings. 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. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree 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 consulting experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Experience using SQL and 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.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Redmond, WA, US; San Francisco, CA, US
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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