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Microsoft

Senior Data Scientist

United States, Georgia, Atlanta · 7d ago

Not specified5+ YOE

Quick summary

AI parsed
Experience
5+ years data-science experience with Python, SQL, KQL; causal inference modeling, statistical techniques, yield/revenue management, pricing optimization, cloud economics

Responsibilities

  • Write efficient code in Python, SQL, KQL to prepare and analyze large-scale revenue, hardware, and capacity datasets using distributed data-processing systems
  • Build causal inference models (e.g., difference-in-differences, synthetic control) and develop decision-relevant metrics, dashboards, and narratives to translate analyses into actionable recommendations
  • Partner with business planning, engineering, product management, and finance teams to define objectives, prioritize analytical work, and align yield strategies with business goals
  • Provide mentorship through code reviews, innovation, and sharing best practices while staying current with industry trends in AI, cloud economics, and optimization techniques

Full description

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., diff…