Senior Data Scientist

Overview

The Xbox Planning & Insights team playsa central rolein shaping the strategic direction of the Gaming organization by delivering business intelligence, analytics, and decision science that drive impact across the Xbox ecosystem.

We partner cross-functionally tooptimizeperformance, inform investment decisions, and ensure alignment with long-term goals.

Whether supporting Game Pass content strategy, membership planning, or platform insights, our work is grounded in a customer centric approach and a commitment to execution excellence—from idea to measurable outcomes.We’relooking for candidates who are comfortable navigating evolving or complex challenges, bring thoughtful and data-driven decision-making, and are passionate about building the future of gaming.

As a Senior Data Scientist on the Gaming Experimentation team you willhelp us accelerate product development usingA/B experimentsandstatistical analysis.You will have the opportunity to shape the use ofA/B experimentsin the Xbox organization, driving an end-to-end experimentation lifecycle including hypothesis generation, experimental design, implementation, and analysis.

You will guide your stakeholders in their decision-making and collaborate withproduct teamsto understand the customer experience.

This opportunity will allow you toleverageyourpassionfordata and the scientific method, applyyourresearchknowledge to improve Xbox products and services, and be at thecutting edgeof business strategies in Gaming.

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.

Qualifications

Required Qualifications:

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.

Proficiency in statistical analysis tools and programming languages (e.g., Python, R, SQL) with a focus on reproducibility and clarity.

Experience with statistical hypothesis testing (e.g. randomized controlled experiments or A/B testing) in a research or industry setting.

Preferred Qualifications:

Familiarity with building and validating metrics that reflect customer experience, product performance, or business impact.

Ability to translate complex data insights into clear, actionable recommendations for cross-functional teams.

Experience mentoring or supporting others in experimentation practices, whether through documentation, workshops, or coaching.

Comfortable working in collaborative, interdisciplinary environments, especially with product managers, engineers, and user researchers.

Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.

There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation.

Find additional benefits and pay information here:

Microsoft will accept applications for the role until September 16th, 2025.

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Responsibilities

Work with product managers,engineering, userresearchersand other data scientists to formulate data-driven and scientifically rigorous answers to business problems and customer needs.

Integrate A/B testing and feature rollout capabilities into new products and services

Buildhigh-quality, actionable, trustworthy metricsto measure customerexperience and business impact

Advise on experimental design,target audience filters,optimalholdout groups,andstatistical power.

Drivedeep-diveanalysis,post-hoc investigations, andinterpretation of results.

Grow a culture of experimentationthrough education, training, documentation, andone-on-one coaching

Embody our &

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect