Principal Data Scientist - Product Analytics - XBOX Growth

Principal Data Scientist - Product Analytics - XBOX Growth

United States, Multiple Locations

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Job description

Company and benefits

Job number

200065590

Date posted

Nov 04, 2026

Work site

0 days / week in-office – remote

Travel

Less than 25%

Profession

Research, Applied, & Data Sciences

Discipline

Applied Sciences

Role type

Individual Contributor

Employment type

Full-Time

Overview

XBOX Growth Intelligence is seeking a Principal Data Scientist, Product Analytics to set analytics strategy and partner with Product, Engineering, and Business leaders across XBOX product experiences. This role will lead ambiguous, organization-level problems; translate player and business signals into investment choices; and establish scalable measurement approaches that accelerate decision-making across teams. The ideal candidate combines deep scientific rigor, product judgment, and the ability to align senior leaders and drive durable business impact through others.

In this role, you will help Product, Engineering, and Business leaders use shared metrics and evidence to prioritize portfolio investments and make cross-product tradeoffs. You will apply analytics and scientific methods to drive measurable improvements in DAU, retention, engagement, monetization, and other business outcomes, while building reusable frameworks, AI-enabled capabilities, and measurement standards that improve rigor, scalability, and decision velocity across teams. As a trusted strategic advisor and scientific leader, you will help shape product direction and elevate analytics capabilities across the broader organization.

Responsibilities

• Lead product analytics strategy across multiple XBOX product areas spanning Console, PC, Store, and Platform experiences, serving as a strategic advisor to senior Product, Engineering, and Business leaders.

• Establish organization-level success metrics, operational targets, measurement frameworks, and leading indicators that align teams and guide portfolio investment decisions.

• Identify and size growth opportunities through advanced analytics and machine-learning models across player acquisition, engagement, retention, monetization, and lifecycle behaviors. Anticipate risks, synthesize cross-product insights, and shape roadmap and investment tradeoffs.

• Set methodological direction for experimentation, causal inference, and incrementality measurement; lead rigorous reviews to ensure approaches are robust, unbiased, scalable, and decision-ready.

• Lead development of reusable analytical assets, agentic AI workflows, and self-service capabilities that can be adopted across product areas and materially improve decision velocity.

• Drive cross-organizational alignment with Data Engineering and Software Engineering to strengthen telemetry, data quality, and scalable, resilient measurement infrastructure.

• Raise the scientific and product analytics bar by mentoring data scientists, reviewing complex work, and establishing standards and reusable practices across the organization.

Qualifications

• Required Qualifications
• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate