Staff Scientist, Autonomous Mobility & Delivery

**About the Role** At Uber, our mission is to reimagine how the world moves for the better. As part of the Autonomous Mobility & Delivery team, you’ll help lead the transformation of transportation and delivery through cutting-edge autonomous technology. You’ll design marketplace systems, develop models, and run experiments that bring AVs to life at scale. From incubating 0-to-1 innovation to shaping executive-level strategy, your work will drive meaningful impact for riders, eaters, partners, and the entire ecosystem. Join us in building the next generation of mobility and delivery. **What You Will Do** **Drive Strategic Vision** - Shape hybrid marketplace vision and translate the strategy into measurable goals, robust models, and scalable systems. - Propose and defend data-driven hypotheses in senior and executive reviews; shape long-term product direction with clear technical narratives. **Modeling, Metrics & Experimentation** - Design and scale advanced machine learning and optimization systems that power the AV marketplace. - Establish key success metrics and measurement frameworks for features and launches. - Incubate 0-to-1 solutions to emerging AV-specific problems in efficiency, and user experience; and architect hybrid marketplace strategy **Cross-Functional Leadership** - Partner deeply with engineering, product, and operations to identify impactful opportunities and co-drive execution from inception to delivery. - Act as a scientific thought leader, mentoring junior scientists and influencing technical strategy across the organization. \-\-\-\- Basic Qualifications ---- - Ph.D. or equivalent experience in a quantitative field such as Machine Learning, Operations Research, Statistics, or Applied Mathematics. - 5+ years of industry experience in Data Science, Applied Science, or related roles, with a proven record of driving product or marketplace impact. - Deep expertise in SQL, Python, and statistical analysis. - Proven experience building and deploying ML or optimization models in production. - Advanced knowledge of experimentation and causal inference methodologies. \-\-\-\- Preferred Qualifications ---- - 7+ years experience in fast-paced tech or marketplace environments; experience in AV mobility or delivery domains is a plus. - Experience presenting to and influencing senior leadership and executives. - Demonstrated leadership of large-scale, cross-functional technical initiatives. - Entrepreneurial experience launching new product lines, systems, or 0-to-1 initiatives. - Strong product and systems thinking, comfortable making trade-offs between ideal science and product reality. - Strong communication, storytelling, and influencing skills. For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year. 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](https://www.uber.com/careers/benefits). Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity 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://forms.gle/aDWTk9k6xtMU25Y5A). Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.