Microsoft

Senior Data Scientist - Product Analytics - XBOX Growth

Microsoft$160K — $261K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Doctorate in a quantitative field and 1+ years of data-science experience or a Master's Degree with 3+ years, or a Bachelor's with 5+ years of experience.
  • Expertise in SQL, Python or R and agentic AI tools.
  • Extensive background in experimentation, causal inference, and machine-learning modeling.
  • Exceptional executive communication skills for translating complex analyses into actionable insights.
  • Strong ability to influence senior stakeholders with data-driven recommendations.

Responsibilities

  • Lead ecosystem-level analyses to inform high-stake investment decisions.
  • Apply advanced statistical and econometric methods to assess growth and optimization.
  • Design and evaluate experiments and measurement frameworks to validate ROI.
  • Utilize agentic AI tools for creating analytical assets and promoting self-service capabilities.
  • Mentor colleagues and enhance the analytical capabilities across the organization.

Benefits

  • Comprehensive health and wellness benefits.
  • Opportunities for professional development and advancement.
  • Access to innovative tools and technology.
  • Flexible work environment that promotes work-life balance.
  • Inclusive company culture that values diverse perspectives.
Full Job Description
Overview

XBOX Growth Intelligence is seeking a Senior Data Scientist, Product Analytics to partner directly with Product, Engineering, and cross-functional leaders to shape the future of XBOX product experiences. This role will drive product strategy and execution through data, helping teams understand player behavior, identify growth opportunities, measure business impact, and accelerate decision-making. The Senior Data Scientist helps product teams consistently use data to prioritize investments, translating insights into measurable improvements in areas such as DAU, retention, and engagement, and becoming a trusted strategic analytics partner to Product and Business leaders. The ideal candidate combines strong analytical rigor, product intuition, and the ability to influence leaders through actionable insights.

Responsibilities

  • Lead ecosystem-level analyses across XBOX experiences. Inform and influence high-stake C-level investment decisions through data-driven insights.


  • Apply econometric, statistical, and causal inference methods to evaluate growth and optimization opportunities on audience reach, engagement and monetization.


  • Design, build and evaluate experiments and incrementality measurement frameworks and models to validate hypotheses and measure investment ROI.


  • Leverage agentic AI tools to create reusable analytical assets and self-service capabilities.


  • Mentor team members and raise the analytical bar across the organization.


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.


Preferred Qualifications:
  • Expertise in SQL, Python or R and agentic AI tools.
  • Extensive experience in experimentation, causal inference, forecasting, and machine-learning modeling in general.
  • 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.


#GamingJobs

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 $160,200 - $261,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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Microsoft is an American multinational corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Microsoft’s devices and consumer (D&C) licensing segment licenses the Windows operating system and related software, Microsoft Office for consumers, and the Windows Phone operating system. The company’s computing and gaming hardware segment provides Xbox gaming and entertainment consoles and accessories, second-party and third-party video games, and Xbox Live subscriptions; surface devices and accessories; and Microsoft PC accessories. Its phone hardware segment offers Lumia smartphones and other non-Lumia phones. Its D&C segment provides Windows Store, Xbox Live transactions, and Windows phone store; search advertising; display advertising; Office 365 Home and Office 365 Personal; first-party video games; and other consumer products and services as well as operating retail stores. Microsoft’s commercial licensing segments license server products, including Windows Server, Microsoft SQL Server, Visual Studio, System Center, and related Client Access Licenses (CALs); Windows Embedded; Windows operating system; Microsoft Office for business, including Office, Exchange, SharePoint, Lync, and related CALs; Microsoft Dynamics business solutions; and Skype. Its commercial segment offers enterprise services, including premier support services and Microsoft consulting services; commercial cloud comprising Office 365 Commercial, other Microsoft Office online offerings, Dynamics CRM Online, and Microsoft Azure; and other commercial products and online services. The company markets and distributes its products through original equipment manufacturers, distributors, and resellers, as well as online.

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Learn more about Microsoft
Size
181,000 employees
Market Cap
$1,762.4 billion
Industry
Net Income
$51.3 billion
Founded
1975
5 Year Trend
+15.5%
Revenue
$153.2 billion
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