Senior Scientist, Matching

About the Role The Airports science team owns all algorithmic decisions, experimentation, measurement, and data strategy for Uber's global airports. The mandate is to keep the airport marketplace functioning at optimal efficiency, ensuring long-term engagement and growth of riders and earners. Airports are a "mini-Uber" covering Rider Experience, Driver Experience, Matching, Pricing & Incentives, and Forecasting. The Matching group builds the systems that determine the optimal way to fulfill trips on the Mobility platform. We work on the problems of determining which earners to send an offer to and when. The solutions we build are critical for maintaining reliability and ensuring the trust of riders and earners alike. We are looking for experienced scientists who relish the opportunity to develop novel approaches and apply them at Uber's scale. They ideally have a good balance of causal inference, analysis, experimentation, and modeling knowledge, as well as, an ability to use