Applied Scientist, Machine Learning and Operations Research at Lyft

Lyft is hiring an Applied Scientist specializing in Machine Learning and Operations Research to develop mathematical models and production-grade algorithms for pricing and ETA decisions. The role involves building and deploying machine learning and optimization models, performing data analysis, evaluating systems against business goals, and collaborating with Data Scientists, Engineers, Product Managers, and other stakeholders. Candidates need an M.S. or Ph.D. in a quantitative field, at least two years of algorithms experience in a technology company, Python proficiency, and strong machine learning and optimization experience. The position is hybrid, requiring three days per week in the office, and offers a San Francisco-area base salary of $193,600 to $242,000 plus potential equity, bonus, and benefits.