Staff Scientist, Rider Booking Experience

Staff Scientist, Rider Booking Experience Department: Data Science Team: Data Scientist Location: New York, United States Type: Full-Time **About the Role** **At Uber, our mission is to reimagine how the world moves for the better.** As part of the Rider Booking Experience team, you’ll have the opportunity to work on the core mobility business and influence the experience for millions of riders. From optimizing AI Booking experiences to shaping executive-level strategy for the mobility product portfolio, your work will have a meaningful impact on the future direction of Uber. You’ll design experiments, develop models, and analyze user behavior to drive growth in the mobility business. The data science work we do is diverse and helps to drive every stage of product development. Our toolkit includes experimentation, product analytics, and ML modeling. You will collaborate with other scientists, product managers, and business teams to understand the challenges in our space, then tackle problems that no one else has solved yet. Some of the key projects will include evaluating AI booking agents, building targeting models for messaging in the app, and running large scale experiments to improve the UX. In this role, you’ll have exposure to many of the teams within Uber and an opportunity to influence the strategy for a core pillar of Uber’s business. **What You'll Do:** **Drive Strategic Vision** 1. Shape the vision for the mobility booking experience and translate the strategy into measurable goals, robust models, and scalable systems. 2. Propose and defend data-driven hypotheses in senior and executive reviews; shape long-term product direction with clear narratives and analysis. **Modeling, Metrics & Experimentation** 1. Design and scale advanced machine learning and optimization systems to power steps in the booking flow. 2. Establish key success metrics and measurement frameworks for features and launches. 3. Incubate 0-to-1 solutions to evaluate and iterate on emerging AI user experiences. **Cross-Functional Leadership** 1. Partner deeply with engineering, product, and operations to identify