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2025 PhD Scientist Internship (Rides Science), United States

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Uber

20d ago

  • Internship
    Full-time
    Summer Internship
  • Data
    Research & Development
  • San Francisco

AI generated summary

  • You must be pursuing a Ph.D. in a quantitative field, have coding skills, analytical experience, strong problem-solving abilities, and excellent communication skills while managing multiple projects.
  • You will define business problems, develop data-driven prototypes, collaborate with engineers, present findings, establish best practices, and conduct experiments to inform decisions.

Requirements

  • 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
  • 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)
  • 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, Revenue Management and Pricing, Advertising, Experiment Design and Execution
  • 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
  • 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

Responsibilities

  • 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

FAQs

What is the duration of the internship?

The internship is for 12 weeks during the summer of 2025.

Who will be supervising the intern?

The intern will be supervised by an analyst on the product team they are embedded in.

What are the basic qualifications required for this internship?

Candidates must be pursuing a Ph.D. in Operations Research, Mathematics, Computer Science, Statistics, Machine Learning, or other related quantitative fields, and should have at least one semester/quarter left of their education after finishing the internship.

What coding languages should candidates be proficient in?

Candidates should have coding proficiency in areas such as R, Spark, SQL, or Python.

What main areas will interns be working on?

Interns will tackle problems related to optimizing Uber's pricing systems, matching trip requests in the dispatch system, and developing innovative incentives for riders and drivers.

Is previous work experience necessary for this internship?

While not mandatory, prior work experience in an analytical setting is preferred.

How will interns present their findings?

Interns will present their findings to leaders to inform business decisions.

What type of projects will interns be involved in?

Interns will define business problems, scope projects, develop prototypes, and design experiments to drive business decisions.

Are there opportunities for mentorship during the internship?

Yes, interns will work closely with a mentor to define problems and develop solutions.

What are the preferred qualifications for candidates?

Preferred qualifications include a background in data visualization, knowledge of mathematical foundations relevant to the field, experience in exploratory data analysis, and the ability to communicate effectively with technical and business partners.

What is the pay rate for this internship?

The base hourly rate for this role is USD$67.00 per hour, applicable for various US locations, including New York, San Francisco, Seattle, and Sunnyvale.

Are benefits included with the internship?

Yes, interns will be eligible for various benefits in addition to their hourly pay.

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Uber

We reimagine the way the world moves for the better.

Technology
Industry
10,001+
Employees
2009
Founded Year

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.

Culture & Values

  • Go get it

    Bring the mindset of a champion. Our ambition is what drives us to achieve our mission. How we define a champion mindset isn’t based on how we perform on our best days, it’s how we respond on the worst days. We hustle, embrace the grind, overcome adversity, and play to win for the people we serve. Because it matters.

  • Trip obsessed

    Make magic in the marketplace. The trip is where the marketplace comes to life. The earner, rider, eater, carrier and merchant are the people who connect in our marketplace - and we see every side. This requires judgment to make difficult trade-offs, blending algorithms with human ingenuity, and the ability to create simplicity from complexity. When we get the balance right for everyone, Uber magic happens.

  • Build with heart

    We care. We work at Uber because our products profoundly affect lives and we care deeply about our impact. Putting ourselves in the shoes of the people who connect in our marketplace helps us build better products that positively impact our communities and partners. Our care drives us to perfect our craft.

  • Stand for safety

    Safety never stops. We embed safety into everything we do. Our relentless pursuit to make Uber safer for everyone using our platform will continue to make us an industry leader for safety. We know the work of safety never stops, yet we can and will challenge ourselves to always be better for the communities we serve.

  • See the forest and the trees

    Know the details that matter. Building for the intersection of the physical and digital worlds at global scale requires seeing the big picture and the details. Knowing the important details can change the approach, and small improvements can compound into enormous impact over time.

  • One Uber

    Bet on something bigger. It’s powerful to be a part of something bigger than any one of us, or any one team. That’s why we work together to do what’s best for Uber, not the individual or team. We actively support our teammates, and they support us - especially when we hit the inevitable bumps in the road. We say what we mean, disagree and commit, and celebrate our progress, together.

  • 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.

Benefits

  • Comprehensive Healthcare

  • Flexible Work

  • Uniquely Uber

  • Health & Wellness