About the Role
Are you interested in working at the intersection of applied quantitative research, engineering development, and data science? Do you have interest in leading and growing a top-notch science team at Uber to develop and apply quantitative solutions related to Uber's uniquely challenging problems? If so, this is the job for you.
What You'll Do
The Uber Eats Pricing Data Science team consists of world-class experts in operations research, econometrics, machine learnings, and statistics. We tackle challenging pricing problems to maximize efficiency and maintain reliability in the three-sided marketplace of Uber Eats. Our algorithms operate globally at a scale of hundreds of thousands of restaurants, millions of delivery partners, tens of millions of eaters, and billions of dollars per year. We are working on targeted user promotions, engagement incentives for delivery partners, surge algorithms to maintain real-time marketplace reliability and much more.
We are looking for an experienced data scientist to act as a technical lead and manager within the pricing team. Optimization, causal inference, and choice modeling are core to the problem space and the successful candidate will have a demonstrated ability to apply relevant techniques to drive business impact. Great intuition for consumer products and marketplace dynamics will be critical and management experience is required. There is still a lot to learn about pricing on Eats and we're looking for a true owner who can bring rigor, passion, and creativity to this challenging and fast-paced environment.
What You'll Need
About the Team
Uber Everything Data Scientists help solve the most challenging problems related to Uber's ambitious and rapidly expanding on-demand delivery businesses such as Uber Eats. These fascinating and difficult problems include personalized search and recommendation for restaurants and dishes, travel and food preparation time prediction, text mining and natural language processing, demand and supply forecasting, growth and spend optimization, dynamic pricing, dispatch and routing optimization, and many more. To solve these problems, data scientists leverage unique data sources diverse in both geographical and temporal dimensions and in both structured (data from app sessions, trips, etc.) and unstructured (menu descriptions, food photos, support contacts, etc.) forms.
At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.
At Uber we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.