Senior Data Scientist

Data Analysis 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. 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. Build causal inference models (e.g., difference-in-differences, synthetic control) when randomized experiments are not feasible. Develop decision-relevant metrics, dashboards, and compelling narratives that translate analyses into actionable recommendations. Apply understanding of Azure pricing, cloud economics, and customer workflows to shape actionable recommendations and explain business trade-offs. Stay current with industry trends in AI, cloud economics, and optimization techniques. Provide mentorship through code reviews, innovation, and sharing best practices. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 6+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Experience with yield or revenue management, pricing optimization, or cloud resource allocation.