About the Role
We're hiring a Staff Scientist for the Uber Direct & Connect team-one of Uber's fastest-growing and most dynamic business lines. Uber Direct & Connect enables merchants, enterprises, and consumers to get anything delivered-from retail returns and prescription deliveries to cross-country shipments and on-demand errands. This is a unique opportunity to shape a new category of delivery products beyond food, redefining what on-demand logistics can look like at scale.
In this role, you will act as a thought partner to cross-functional leaders and drive the scientific strategy for building a healthy, efficient, and scalable three-sided marketplace. We are looking for a candidate with deep expertise in Economics, Operations Research, or a related quantitative discipline, and a passion for building foundational marketplace systems that go beyond existing paradigms of food delivery.
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You will work closely with Product, Engineering, Operations, and other Scientists to deeply understand the dynamics of our ecosystem, design incentive systems, and build models and algorithms that power pricing, matching, batching, fulfillment efficiency, and more. You'll play a critical role in shaping the future of our marketplace architecture and ensuring that our products are grounded in robust scientific reasoning.
What You'll Do
- Leverage advanced analytical and quantitative techniques-including machine learning, statistical modeling, causal inference, funnel analysis, and deep-dive analytics-to build a best-in-class delivery experience for Uber's Direct & Connect business.
- Translate complex analyses into clear, actionable insights and effectively communicate findings to executives, business leaders, and cross-functional stakeholders to shape product and business strategy.
- Collaborate closely with Product, Engineering, and Operations teams to define and drive a roadmap of high-impact initiatives, ensuring that marketplace design, pricing, and fulfillment strategies are informed by rigorous analysis and competitive intelligence.
- Provide technical mentorship and thought leadership, raising the bar for scientific rigor, championing best practices in statistical and machine learning methodologies, and fostering a strong culture of data-driven decision-making.
Basic Qualifications
- Ph.D., M.S., or Bachelor's degree in Economics, Operations Research, or a related quantitative field (e.g., Statistics, Applied Mathematics, Computer Science with a strong modeling focus).
- Minimum 2 years of of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role.
- Strong foundation in marketplace modeling and dynamics, including experimental design (e.g., A/B testing), causal inference, and optimization techniques.
- Proficiency using Python or R for data analysis, modeling, and prototyping.
Preferred Qualifications
- Ph.D. with 6+ years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role.
- Deep expertise in pricing, marketplace modeling, or optimization, particularly in the context of complex multi-sided platforms.
- Demonstrated ability to extract insights from complex datasets, distill them into actionable strategies, and influence product and business decisions.
- Excellent written and verbal communication skills, with the ability to clearly explain technical concepts to cross-functional stakeholders and drive alignment across teams
- Advanced knowledge of experimental design and causal inference techniques, including observational studies and quasi-experimental methods.
- Hands-on experience working with messy, incomplete, or noisy datasets to generate insights and drive real-world impact.
- Proven ability to collaborate and influence senior stakeholders (Director level and above) through clear, data-driven recommendations.
- Strong judgment and critical thinking skills, with a track record of navigating ambiguity, setting priorities, and making high-quality decisions in a fast-moving environment.
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.
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.