Scientist Intern

Job Description

Scientist Intern | Uber

The Tone:
This is a 12-week internship at Uber, located in San Francisco, CA or Sunnyvale, CA for Summer 2026. Uber strives to create a seamless marketplace experience for mobility and delivery services globally. The company builds systems that use economics, machine learning, and scalable software to automate and optimize the matching of supply and demand. This role contributes to making complex marketplace operations simple and efficient for users and earners.

The TL;DR
• Role: Internship
• Type: Temporary (12 weeks)
• Location: San Francisco, CA or Sunnyvale, CA
• Pay: $67 hourly
• Team: Driver Pricing team, supervised by an analyst.
• Mission: Apply quantitative skills in machine learning, statistics, and economics to improve Uber’s user experience and marketplace performance.
• Tech Stack: R, Spark, SQL, Python, AB Testing

What You’ll Actually Do
• Project Development: Define business problems, scope projects, and develop data-driven solutions with a mentor.
• Solution Implementation: Collaborate with engineers and product managers to convert prototypes into scalable solutions.
• Strategic Communication: Present project findings to leaders to inform critical business decisions.
• Process Improvement: Establish standard practices for scientific activities including modeling, coding, analytics, optimization, and experimentation.
• Business Experimentation: Conduct experiments to directly influence and drive key business decisions.

The Must-Haves
• Background: Pursuing a Ph.D. in Economics, Operations Research, Mathematics, Computer Science, Statistics, Machine Learning, or related quantitative fields, with at least one semester/quarter of education remaining post-internship.
• Experience: Demonstrated strong problem-solving and analytical capabilities. Experience with Exploratory Data Analysis, Statistical Analysis, Model Development, Operations Management, Revenue Management and Pricing, Advertising, Experimental Design, Assortment Planning, or Transportation.
• Skills: Coding proficiency in R, Spark, SQL, Python, and AB Testing. Strong analytical skills and knowledge of mathematical foundations in statistics, machine learning, optimization, stochastic processes, economics, and analytics. Effective communication with technical and business partners.
• Bonus: Experience with data visualization tools like Tableau, Mixpanel, or Looker. Organized, detail-oriented, and capable of independent work on multiple projects. Openness to feedback and a research mentality with a bias towards action, demonstrating independence and outstanding follow-through.