Scientist II, Delivery (Multiple Teams)

Scientist II, Delivery (Multiple Teams) Department: Data Science Team: Data Scientist Location: San Francisco, United States Type: Full-Time **About the Role** Scientists at Uber use data to improve and automate all aspects of Uber's core rideshare and delivery products. You will be joining the Delivery team, which owns all aspects of our delivery experience - from eaters, couriers to merchants! We are looking for experienced candidates with a passion for solving new and difficult problems with data. In this role, you will be able to utilize your strong quantitative skills to improve the Uber delivery experience as well as the overall marketplace performance. **About the Team (We are hiring for multiple teams)** We are building the most preferred online delivery platform globally and driving innovation across a number of areas including: - **Fulfillment:** Delivery is the core of our product. We carefully refine a living and breathing marketplace to balance long run outcomes with the everyday experiences of our customers and couriers. - **Consumer:** We help users all over the world find what they need on UberEats. To do so we build state of the art recommendation systems and novel user experiences to help users discover the selection around them. - **Ads:** Ads is one of the fastest growing lines of businesses at Uber. We work on end-to-end experience across lines of business, from enrolling advertisers, to designing auction and bidding, and integrating ads into the user experience. - **Offer:** We optimize merchant offers, by identifying the optimal selection to make the platform affordable to consumers, by innovating on pricing models to align incentives, and by maximizing return for merchants through targeting. - **Merchant:** Dedicated to optimizing merchant experience and driving merchant success at every stage of their lifecycle. We drive strategic and product decisions that expand merchant selections and maximize the value merchants bring to our marketplace. **What You’ll Do** - Solve ambiguous, challenging business problems using data-driven approaches, including ML, Optimization, and