Uber Staff Scientist Direct & Connect 

United States, West Virginia 

471325112

About the Role

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.