Uber
Description
The challenging problems include benchmarking Uber’s position in the category, modeling the complex market-level dynamics, rider and driver choices, cross-service decision across rides/eats/bikes, fine-tuning Uber’s pricing with data/algorithms from this team etc. The data scientists on the team leverage massive amount of Uber internal and external data to address these challenges, build scalable...