The Principal Business Analytics Data Scientist role at Microsoft AI focuses on driving business insights and decision-making frameworks that influence product investments and business outcomes. The position is part of the MSN & Copilot Discover Business Analytics team, which supports various product and business teams. The ideal candidate will leverage their analytical expertise to analyze user engagement and monetization strategies while collaborating closely with cross-functional teams. This role offers a unique opportunity to work at the intersection of AI-powered content discovery and revenue optimization.

• 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.
• Familiarity with key engagement and monetization metrics such as sessions, time spent, retention, RPM, ad requests, inventory utilization, advertiser demand, and marketplace efficiency.
• Experience leading analytics for large-scale consumer products with millions of users.

• 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.

• 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.