Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
Tailor your resume to this Senior Data Scientist role.
Rezi rewrites your resume against Microsoft's job description. Free.
Tailor your resume to this Senior Data Scientist role.
Rezi rewrites your resume against Microsoft's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Data Scientist posting at Microsoft — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Senior Data Scientist posting at Microsoft — free, in seconds.
About the Role
We are seeking a Senior Data Scientist to lead end-to-end yield optimization initiatives for Azure infrastructure. In this role, you will frame ambiguous business problems, translate revenue, hardware, and capacity data into actionable insights, and guide decisions that balance resource utilization, cost efficiency, and customer experience. You will apply analytics, machine learning, causal inference, and visualization to recommend strategies, influence cross-functional decisions, and measure business outcomes.
Responsibilities
- Write efficient, readable code in Python, SQL, KQL, or similar languages to prepare and analyze large-scale revenue, hardware, and capacity datasets, leveraging distributed data-processing systems to identify pricing and yield opportunities.
- Select, develop, and validate appropriate statistical and machine-learning approaches for resource allocation and pricing, assessing methodological limitations and both statistical and business significance.
- Partner with business planning, engineering, product management, and finance teams to define objectives, prioritize analytical work, and align yield strategies with business goals.
- Influence decisions through evidence, communicate trade-offs, and drive alignment on success measures and implementation.
- Own experiment design and impact measurement for optimization hypotheses, including success metrics, guardrails, and interpretation of results.
- Build causal inference models (e.g., difference-in-differences, synthetic control) when randomized experiments are not feasible.
- Estimate demand elasticity and customer substitution effects.
- Develop decision-relevant metrics, dashboards, and compelling narratives that translate analyses into actionable recommendations.
- Present findings and analytical limitations to technical and executive audiences, build stakeholder support, and guide decisions on key yield initiatives.
- Stay current with industry trends in AI, cloud economics, and optimization techniques.
- Provide mentorship through code reviews, innovation, and sharing best practices.
- Apply understanding of Azure pricing, cloud economics, and customer workflows to shape actionable recommendations and explain business trade-offs.
- Embody our culture and values.
Requirements
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience.
- Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience.
- Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience.
- Equivalent experience.
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience.
- Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 6+ years data-science experience.
- Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience.
- Equivalent experience.
- Experience with yield or revenue management, pricing optimization, or cloud resource allocation.
Skills
- Python
- SQL
- KQL
- Machine Learning
- Causal Inference
- Visualization
- Experimentation
- A/B Testing
- Difference-in-differences
- Synthetic Control
- Demand Elasticity Estimation
- Customer Substitution Effects Estimation
- AI
- Cloud Economics
- Optimization Techniques
- Azure Pricing
- Cloud Economics
- Customer Workflows
Location
- U.S.
Work Type
- Full-time
Experience Level
- Senior
- IC4
Education Level
- Doctorate
- Master's Degree
- Bachelor's Degree
Salary/Compensations
- USD $119,800 - $234,700 per year (U.S.)
- USD $160,200 - $261,000 per year (San Francisco Bay area and New York City metropolitan area)
Benefits
- Certain roles may be eligible for benefits and other compensation.
About the Company
- Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Equal Opportunity
- Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.