Manager II, Science - Marketplace/Membership

Manager II, Science - Marketplace/Membership Department: Data Science Team: Data Scientist Location: San Francisco, United States Type: Full-Time **About the Role** End-to-end product development from a data, analytics, modeling and experimentation perspective. Specifically, formulating ambiguous business problems, prototyping various machine learning & optimization & causal inference & marketplace dynamics models, producing data insights, and designing & analyzing experiments. #### **About the Team\*\*(We are hiring for multiple teams)\*\*** We are building the future of Uber's mobility and logistics platforms. Our teams drive innovation across critical areas, including: - **Delivery Marketplace**: A central pillar of Uber’s delivery products, serving as the "brain" of the operation. We drive every decision that enables orders to go from point A to point B — from Uber Eats & Grocery, to newer verticals like Uber Direct and Connect. We’re responsible for running an efficient marketplace with dispatch & pricing decisions. - **Uber One Membership**: Enhancing user experience and growth for Uber One, a fast-growing program providing members with exclusive benefits, best prices, and priority across the platform. **What You’ll Do** - Lead a team of Scientists, including growing and mentoring your team members. - Partner closely with cross-functional stakeholders and other Science teams to identify business needs and translate them into technical roadmaps to deliver impactful solutions. - Communicate complex findings and recommendations to senior leadership. - Solve ambiguous, challenging business problems using data-driven approaches including Causal Inference, Optimization and ML. - Own the product development cycle end to end from data and science aspects. - Define how our teams measure success, by developing metrics, in close partnership with cross functional partners. **Basic Qualifications** - Ph.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields. - 7+ years of industry experience as an Applied or Data Scientist or equivalent (or