Staff Data Scientist, Pricing & Optimization - Hybrid

A leading ridesharing company is seeking a Staff Data Scientist to join their Pricing team in San Francisco. This role involves leveraging optimization techniques and quantitative analyses to enhance pricing strategies. Candidates should have a Ph.D. in a quantitative field and a strong background in Python and model evaluation. The position supports a hybrid work schedule where team members work in office three days a week, promoting collaboration and innovation while enjoying various employee benefits. #J-18808-Ljbffr