**About the Role** The Delivery Logistics team builds real-world technology that powers our global marketplace. Our team of scientists works on diverse problems, including building real-time backend matching systems, creating new delightful user experiences, and serving predictions used for decision making across the marketplace. As a Staff Scientist you will play a pivotal role on a high-visibility, high-impact team. **What You Will Do** 1. Use data to understand product performance and to identify improvement opportunities and define product/team roadmaps. 2. Design and execute product experiments and non-experimental measurement strategies and interpret the results to draw detailed and actionable conclusions. 3. Collaborate with Engineering and Product leads to drive end-to-end algorithm development. 4. Present findings to senior leadership to inform business decisions. ---- Basic Qualifications ---- 1. Ph.D., M.S. or Bachelors degree in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields. 2. Minimum 6 years of industry experience as a Scientist or equivalent (4+ years if holding a Ph.D. degree). 3. Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, experimental design, and analytics. 4. Experienced in partnering with cross-functional stakeholders to execute decisions. 5. Ability to use Python to work efficiently at scale with large data sets. 6. Proficiency in SQL. ---- Preferred Qualifications ---- 1. Ph.D. or equivalent in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields. 2. 8+ years of industry experience as a Scientist or equivalent (6+ years if holding a Ph.D. degree). 3. Demonstrated expertise in the marketplace domain. For New York, NY-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits. Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform