We're looking for candidates to intern on the Delivery Logistics team as a PhD 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 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 Uber Eats 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:

The Delivery Logistics team builds real-world technology that powers our global marketplace. Our team of scientists works on diverse problems, including building real-time backend matching systems, creating new delightful user experiences, and serving predictions used for decision making across the marketplace.

In this role, you will use your quantitative skills to generate insights, develop new models, design metrics and run experiments. Uber operates in a constantly-evolving and competitive environment, and our success requires a deep understanding of our marketplace and the ability to build products that scale on a global footprint. You will work on high visibility, high impact projects which have significant impact on Uber's P+L.

• 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 a cross-functional team to build cutting-edge marketplace products

• Deploy analysis techniques such as causal inference and funnel analysis to identify our largest business opportunities

• Work alongside engineers to design and implement production solutions

• Design and analyze product experiments, and communicate findings and conclusions with stakeholders

• Basic Qualifications

• Pursuing a PhD specializing in Operations Research, Statistics, Economics, Machine Learning, or other quantitative fields

• Must have at least one semester/quarter remaining after completion of the internship

• Experience with exploratory data analysis, statistical analysis and testing, and model development

• Ability to use Python to work efficiently at scale with large data sets

• Strong problem solving and analytical abilities

Preferred Qualifications:

• 0-2 years of prior work experience in an analytical setting
• Organized, detail oriented and able to work independently on multiple projects at once
• Ability to communicate effectively with both technical and business partners
• Proficiency with office efficiency tools including email, web browser, web apps, database search, spreadsheets/word processors (Google Apps)
• Self starter, taking initiative keeping relevant partners in the loop
• Open to feedback, excellent at implementing newly learned ideas and concepts
• Background in data visualization via open-source libraries/packages or third-party tools (i.e. Tableau, Mixpanel, Looker, or similar)

For New York, NY-based roles: The base hourly rate amount for this role is USD**$67.00** per hour.

You will also be eligible for various benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity 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.