Graduate 2026 PhD Scientist II - Operations Research or ML (Mobility and Delivery Tech), US

Job Description

The mobility and delivery tech (MaDTech) teams are hiring multiple scientists to solve complex, large scale, and ambiguous business problems across different problem spaces. We are responsible for solving all the critical modeling and inference problems related to the core mobility and delivery marketplace and experiences, including matching, pricing & incentives, experimentation, maps, membership and autonomous vehicle integration.

About the Team

The mobility and delivery tech (MaDTech) teams are responsible for the core technologies that support the marketplace and experience for every line of business at Uber. This includes real-time matching, various pricing and incentive levers, experiences for all participants (consumers, earners, merchants etc) on the platform, experimentation platform, maps platform, and membership. The science teams within MaDTechplay a critical role in the end-to-end product development cycle. We are responsible for solving open, ambiguous business problems at global scale from data and modeling perspectives. We generate insights, develop new optimization, ML, and causal inference models, design metrics, run experiments, and interpret the results. We work closely with partners, especially product and engineering teams, to innovate the business models, improve user experiences, and grow the platform.

• Solve ambiguous, challenging business problems using data-driven approaches
• Work closely with multi-functional leads to develop a technical vision and drive team direction
• Develop new methodologies for data science including ML and causal inference modeling, coding, analytics, optimization, and experimentation
• Present findings to business leaders to inform decisions
• Design product experiments and analyze the results to draw detailed and impactful conclusions

• Completing or recently completed a Ph.D. in Operations Research, Machine Learning, Statistics, or other quantitative fields
• Knowledge of underlying mathematical foundations of optimization, stochastic processes, statistics, and machine learning
• Strong problem solving and analytical abilities
• Familiarity with SQL
• Proficiency with a programming language such as R or Python

• Ability to communicate effectively with both technical and business partners
• Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation
• Independence, excellent communication, and outstanding follow-through - you energetically tackle your work and love the responsibility of being individually empowered
• Experience with exploratory data analysis, statistical analysis and model development
• Experience in one of the following areas: Operations Research, Revenue Management and Pricing, Advertising, Experimental Design, Assortment Planning, Transportation
• Previous industry experience (e.g., internships)