Senior Scientist, Rider Experience

Senior Scientist, Rider Experience Department: Data Science Team: Data Scientist Location: New York, United States Type: Full-Time **About the Role** Scientists at Uber use data to measure, analyze, and optimize all of Uber's products. On the Rider Experience Science team, you’ll have the opportunity to work on the core mobility business and influence the experience for millions of riders. We drive growth in the mobility business by understanding how riders use the app, delivering a seamless experience, and creating new personalized features. The 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 optimizing the rider conversion funnel, developing AI systems to understand metric trends, 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** 1. Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of data, our customers, and our business. 2. Design experiments and interpret the results to draw detailed and impactful conclusions that inform our decisions. 3. Define how our teams measure success by developing metrics in close partnership with cross functional partners and creating AI systems to understand metric movements. 4. Develop data-driven insights and work with cross-functional partners to identify opportunities to improve the long-term strategy and product roadmaps. 5. Collaborate with other Scientists and Engineers to build and improve data foundations. 6. Present findings to business and executive audiences. **Basic Qualifications** 1. Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitat