Description
Microsoft is hiring a Senior Data Scientist to lead end-to-end yield optimization initiatives for Azure infrastructure, including virtual machines and storage. The role involves analyzing revenue, hardware, and capacity data; developing statistical and machine-learning models for resource allocation and pricing; designing experiments and causal-inference analyses; estimating demand elasticity; and translating insights into recommendations for pricing, promotions, and resource-use decisions. Candidates need a doctorate with 1+ year of data-science experience, a master's degree with 3+ years, or a bachelor's degree with 5+ years, or equivalent experience. The typical U.S. base pay range is USD $119,800-$234,700 per year, with higher ranges for the San Francisco Bay area and New York City metropolitan area.
