Job Specifications
We're looking for PhD candidates to intern on the Rider Marketplace Science as a Scientist intern during summer 2026 (12 weeks). As an intern, you will be embedded in a product team working on solving real-world Uber problems under the supervision of a Scientist on that team, and will have the opportunity to partner closely with Scientists, Software Engineers, Product Managers, and other cross functional partners.
About The Role
Have you ever ordered a car service on Uber, and when the ride arrives, wondered how it got to you so fast? Ever ordered food on UberEats and wondered where the driver was before receiving your order and how long it took to get to the restaurant or if your order was ready when the courier arrived? Ever wondered why your grocery delivery from Uber always has the best apple picked? If so, Uber is for you. Our Scientists strive every day to make magic within Uber's marketplace. This requires judgment to make difficult trade-offs, blending algorithms with human resourcefulness, and the ability to build simplicity from complexity. When we get the balance right for everyone, Uber magic happens. We build systems to peer into the future to craft the most cost-efficient marketplace for matching supply and demand. We are passionate about using innovative economics, statistical modeling, machine learning, and scalable distributed software that automates and optimizes every aspect of this intricate dance between participants of the marketplace.
We are involved in every stage of the product development cycle and use data to inform product decisions, build models to power our solutions, and also develop platform tools that are used across teams with a primary focus on Mobility and Delivery. We work with millions of earners across the globe to make this magic happen and want you to join us!
About The Team
Rider Marketplace Science at Uber uses data to improve and automate Uber's core ridesharing products. Interns will tackle problems such as optimizing Uber's short and long term pricing systems; efficiently matching incoming trip requests in Uber's dispatch system; developing innovative incentives that reward riders and drivers for choosing our network; developing algorithms and experimentation to make our rider and driver experience stand out. We also forecast, monitor, and evaluate all aspects of our marketplace and user behavior using both large scale observational data and meticulous experimentation.
You will be joining the Pricing and Incentives team, which owns our automated real-time pricing and incentives algorithms and platform. You will work on analyzing data, creating new metrics, and design experiments. You will combine theory with data to design our models, and inform the strategies that maintain reliability and improve the efficiency of Uber's Mobility marketplace.
What You'll Do
Work closely with a mentor to define a business problem, scope a project, develop, and prototype the solution using data-driven approaches
Work with engineers and product managers to turn prototypes into scalable solutions
Present findings to leaders to inform decisions
Establish standard methodologies for science such as modeling, coding, analytics, optimization, and experimentation
Conduct experiments to drive business decisions
Basic Qualifications
Pursuing a Ph.D. majoring in Statistics, Economics, Machine Learning, Operations Research, Mathematics, Computer Science, or other related quantitative fields
Candidates should have at least one semester/quarter left of their education after finishing the internship
Strong problem solving and analytical abilities
Preferred Qualifications
Strong knowledge of underlying mathematical foundations of statistics, machine learning, optimization, stochastic processes, economics, and/or analytics
Coding proficiency in areas such as R, Spark, SQL, or Python
Background in data visualization via open-source libraries/packages or third-party tools (i.e. Tableau, Mixpanel, Looker, or similar)
Experience in the following areas: Exploratory data analysis, statistical analysis, model development, revenue management and pricing, advertising, experiment design and execution
Prior work experience in an analytical setting
Ability to communicate effectively with both technical and business partners
Open to feedback, excellent at implementing newly learned ideas and concepts
Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation
For San Francisco, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. You will also be eligible for various benefits., For San Francisco, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. You will also be eligible for various benefits.