JobsPrincipal Data Scientist
Location
Redmond, WA
Type
Full-time
Posted
6/18/2026
Compensation
$142,800 - $304,200 per year
PhD with 5+ Years of Experience
Master's with 5+ Years of Experience
Undergraduate with 5+ Years of Experience
Approval 98.4%·Filings 6,363·New hires 3,142·
👑 Elite Sponsor
·FY 2025Job description
The Principal Business Analytics Data Scientist role at Microsoft AI focuses on driving business insights and strategic planning for the MSN and Copilot Discover teams. This position requires a blend of analytical expertise and business acumen to influence product investments and business outcomes. The role involves collaborating with various teams, including Product, Engineering, and Finance, to enhance user engagement and optimize monetization strategies. The ideal candidate will leverage AI and machine learning to automate insights and improve decision-making processes.
Requirements
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years of data-science experience, OR
- Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years of data-science experience, OR
- Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years of data-science experience, OR
- Equivalent experience.
- Experience in content ecosystems, news feeds, recommendation systems, search, shopping, or content discovery platforms.
- Experience partnering with advertising, monetization, or marketplace organizations.
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 and improve forecasting accuracy.
- 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.
Benefits
- Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.
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