We are looking for current students to join Uber as PhD Scientist Interns for 12 weeks in Fall 2024. As an intern, you will be embedded in a product team working on solving real-world Uber problems under the supervision of an analyst 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. In our Sciences division, we strive 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, 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

Mobility: Rides Science at Uber uses data to improve and automate Uber's core ridesharing products. Rides 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.

With the mobility org, the Driver Pricing team develops the algorithms, signals, and insights that power Uber's real-time driver pricing. We use elements of modeling, causal inference, forecasting, and optimization to set driver prices that dynamically align both customers and partners interests while maximizing the value created by the marketplace.

What You'll Do

• Work with a mentor closely 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 Operations Research, Mathematics, Computer Science, Statistics, Machine Learning, 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

• Coding proficiency in areas such as R, Spark, SQL, Python and AB Testing

• Background in data visualization via open-source libraries/packages or third-party tools (i.e. Tableau, Mixpanel, Looker, or similar)

• Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, stochastic processes, economics, and analytics

• Experience in the following areas: Exploratory Data Analysis, Statistical Analysis, Model Development, Operations Management, Revenue Management and Pricing, Advertising, Experimental Design, Assortment Planning, Transportation

• 0-2 years of prior work experience in an analytical setting

• Proficiency with office efficiency tools including email, web browser, web apps, database search, spreadsheets/word processors (Google Apps)

• Organized, detail oriented and able to work independently on multiple projects at once

• 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

• Independence, self-starter mindset, excellent communication, and outstanding follow-through - you energetically tackle your work and love the responsibility of being individually empowered

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- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform