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2024 PhD Scientist Intern (Fall), United States



21d ago

  • Internship
    Off-cycle Internship
  • Research & Development
  • San Francisco

AI generated summary

  • You must be pursuing a Ph.D. in a quantitative field with strong problem-solving skills, coding proficiency, analytical experience, and ability to work independently on multiple projects. Excellent communication and research mindset are essential.
  • You will work closely with mentors to define business problems, develop data-driven solutions, collaborate with engineers and product managers, present findings to leaders, establish standard methodologies for science, and 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


  • 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


What will be the main focus of the PhD Scientist Intern in the Fall 2024 program at Uber?

The main focus of the PhD Scientist Intern in this program will be to work on real-world Uber problems within a product team, using data to inform product decisions, building models to power solutions, and developing platform tools with a primary focus on Mobility and Delivery.

What type of projects will the PhD Scientist Intern be working on during the 12-week program?

The PhD Scientist Intern will work on projects related to optimizing Uber's short and long term pricing systems, efficiently matching incoming trip requests in Uber's dispatch system, developing innovative incentives for riders and drivers, and developing algorithms and experimentation to enhance the overall rider and driver experience.

What kind of supervision and support will the PhD Scientist Intern receive during the program?

The PhD Scientist Intern will be supervised by an analyst on the product team they are embedded in, and will have the opportunity to partner closely with Scientists, Software Engineers, Product Managers, and other cross functional partners for guidance and support throughout the program.

How will the PhD Scientist Intern contribute to the overall goal of Uber's Sciences division?

The PhD Scientist Intern will contribute to the overall goal of the Sciences division by using innovative economics, machine learning, and scalable distributed software to automate and optimize every aspect of the intricate marketplace between participants. They will work on projects that help optimize the matching of supply and demand within Uber's marketplace.

What is the focus of the Mobility team at Uber, and how will the PhD Scientist Intern be involved in their work?

The Mobility team at Uber focuses on using data to improve and automate Uber's core ridesharing products. The PhD Scientist Intern will work on projects related to optimizing pricing systems, driver incentives, and marketplace forecasting within the Mobility team.

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Mission & Purpose

We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now. The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.

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  • Great minds don't think alike

    Diversity makes us stronger. We seek out diversity. Diversity of ideas. Identity. Ethnicity. Experience. Education. The more diverse we become, the more we can adapt and ultimately achieve our mission. When we reflect the incredible diversity of the people who connect on our platform, we make better decisions that benefit the world.


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