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Principal Data Scientist

Microsoft· Data Science
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Redmond, WA, Mountain View, CA$142.8k - $274.8kFull-timePosted 4mo ago

About the role

Microsoft AI (MAI) is building next-gen AI-powered consumer experiences. The MSN & Copilot Discover Business Analytics team provides horizontal analytics support across product, engineering, marketplace, monetization, and business teams, focusing on insights, forecasting, experimentation, monetization analytics, and decision-making frameworks to influence product investments and outcomes at scale. The role combines analytics leadership with product, advertising, and monetization expertise to drive growth and business decisions.

Responsibilities

  • Serve as a trusted analytics partner to leadership and cross-functional teams, translating data into clear business recommendations.
  • Partner with Product, Engineering, MAI Marketplace, Monetization, Finance, and Business Planning teams to shape strategy and investment decisions.
  • Analyze user engagement, content consumption, marketplace dynamics, and revenue performance to identify growth opportunities and business risks.
  • Develop business frameworks that connect product initiatives, user behavior, content quality, and monetization outcomes.
  • Build forecasting and scenario-planning models for engagement, traffic, ad requests, and revenue.
  • Leverage AI and machine learning solutions to automate business insights, improve forecasting accuracy, enhance decision-making processes, and scale analytical capabilities across the organization.
  • Evaluate tradeoffs between user experience, engagement, and monetization to support long-term business growth.
  • Communicate insights clearly to senior stakeholders and influence decisions through data-driven storytelling.

Qualifications

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (or Master's AND 7+ years or Bachelor's AND 10+ years, or equivalent experience).

Skills

Required:Data analysis and interpretationForecasting and scenario planningAI/ML solutions for insights
Last updated Oct 16, 2026. Interested? Apply on the company site.

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