Manager II, Science, Tech - Science

About the team The Core Analytics & Science Team (CAS) is Uber's primary science organisation, covering both our main lines of business as well as the underlying platform technologies on which those businesses are built. We are a key part of Uber's cross-functional product development teams, helping to drive every stage of product development through data analytic, statistical, and algorithmic expertise. CAS owns the experience and algorithms powering Uber's global Mobility and Delivery products. We optimise and personalise the rider and driver experience, target incentives and introduce customizations for routing and matching for products and use cases that go beyond the core Uber capabilities. Within CAS, the Mobility Science team focuses on improving the core rider and driver experience across Uber’s Mobility business. Our work spans areas such as marketplace health, pricing and incentives, matching and dispatch, rider experience, and driver experience, with the goal of ensuring a reliable and efficient experience for millions of riders and drivers globally. A key part of this mission is enabling high-quality experimentation and causal measurement across product features that influence marketplace dynamics. The team develops and applies advanced experimentation methodologies and quasi-causal inference techniques to evaluate product changes, understand marketplace interventions, and guide data-driven decision making in complex, networked environments where traditional experimentation may not always be feasible. About the Role The Mobility and Delivery Science team is Uber's science organisation covering two of our core lines of business. We are a key part of Uber's cross-functional product development teams, helping to drive every stage of product development through data analytic, statistical, and algorithmic expertise. We own the experience and algorithms powering Uber's global Mobility and Delivery products. We optimise and personalise the rider experience, target incentives and introduce customizations for routing and matching for products and use cases that go beyond the core Uber capabilities.