Pricing Data Science for Uber Eats

Seminar | September 6 | 4 p.m. | 290 Hearst Memorial Mining Building

 Feras El Zarwi, Uber

 Institute of Transportation Studies

Uber's Feras El Zarwi will present Pricing Data Science for Uber Eats on Sept. 6, 2019 at 4 p.m. in 290 Hearst Memorial Mining Building at the ITS Transportation Seminar.

Abstract
UberEats, the food delivery platform at Uber, is currently a USD $13 billion gross bookings business that is present in hundreds of markets all around the world. At UberEATS, pricing data science focuses on developing pricing models and algorithms for couriers and eaters. Our north star is to have a platform that ensures reliability, efficiency, growth and user engagement. In this talk, I will discuss and present how courier pricing is leveraging on data science methods and techniques to guide the evolution of our products at UberEATS. Specifically, I will focus on three levers that make our platform more efficient and reliable: (1) dispatch incentives; (2) dispatch screen redesign; and (3) experimentation.

Feras El Zarwi is currently a Senior Data Scientist at Uber. He has been at Uber for 2 years and has primarily focused on courier pricing (driver pricing) data science. Feras’s expertise is in behavioral modeling of decision-makers as well as demand forecasting. The techniques he uses entail a mixture of econometric models (specifically discrete choice analysis), machine learning methods, and statistical modeling. Feras received his Masters and PhD in Transportation Engineering from the University of California at Berkeley in 2017. He received his Bachelor’s degree in Civil and Environmental Engineering from the American University of Beirut. In addition to Uber, Feras has worked as a transportation engineering consultant at SETS International in the Middle East region for two years prior to his PhD.

 CA, acairo@berkeley.edu