The Senior Data Scientist role within the Cloud and AI Platforms Monetization organization focuses on leading yield optimization initiatives for Azure infrastructure. This position involves translating complex data into actionable insights to inform pricing strategies and enhance customer experience. The team values diversity and inclusion, aiming to drive profit growth through innovative monetization strategies. Candidates will apply analytics, machine learning, and causal inference to influence business decisions and measure outcomes.

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience, OR
• Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience, OR
• Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience, OR
• Equivalent experience.
• Experience with yield or revenue management, pricing optimization, or cloud resource allocation.

• Write efficient, readable code in Python, SQL, KQL, or similar languages to prepare and analyze large-scale datasets.
• Select, develop, and validate statistical and machine-learning approaches for resource allocation and pricing.
• Partner with cross-functional teams to define objectives and align yield strategies with business goals.
• Own experiment design and impact measurement for optimization hypotheses.
• Develop decision-relevant metrics, dashboards, and narratives that translate analyses into actionable recommendations.
• Stay current with industry trends in AI, cloud economics, and optimization techniques.

• 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.