At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.
About the Role
We’re looking for PhD intern candidates to contribute to Marketplace data science in Summer 2019 (3 months). We seek candidates with a strong background in economics, machine learning, computer science, and operations research. You will be embedded in a product team such as Rider Pricing, and work closely with the engineers and product managers under the supervision of a data scientist in that team. You’ll be focused on modeling and algorithm development on a project defined by you and your mentor.
What You’ll Do
Work with your mentor closely to scope a project, define the problem, and develop and prototype the solution
Work alongside engineers and product managers to understand the business use cases and production feasibility of your work, and collaborate on the experimentation and productionisation of your work
Develop creative solutions to product problems using a combination of empirical insights and sophisticated technical methods
Communicate with senior management and cross-functional teams
Simulate the effects of re-allocating between driver incentive mechanisms
Investigate how surge pricing interacts with different innovations in how riders are matched with drivers
Develop new matching algorithms that power our shared rides products.
Quantify the medium- to long-term impact of changes to pricing and matching on rider and driver partner activity.
Build machine learning models which predict a customer’s response to promotions.
What You’ll Need
Ph.D. student (anticipated graduation in 2020) majoring in CS, Economics, Statistics, Machine Learning, Operations Research, or other quantitative disciplines
Experience in modeling and algorithm development
Coding proficiency and the ability to develop statistical analysis and prototype algorithms in Python or R
Proficiency in SQL
Ability to communicate effectively with both technical and business stakeholders
About the Team
In Marketplace you’ll be at at the center of Uber’s business, where riders and drivers come together at extraordinary scale. As a data scientist, you’ll combine clear product vision, deep technical skills and powerful data analysis to improve the algorithms that run Uber’s vast worldwide marketplace every minute of the day. We’re looking for you to produce elegant solutions that are practical, effective, and can work at Uber scale.
Our team tackles problems such as optimizing Uber’s short and long term pricing systems; efficiently matching incoming trip requests in Uber’s dispatch system; developing innovative incentive schemes that reward riders and drivers for choosing our network; and providing optimal routes and accurate turn-by-turn navigation to save time for everybody. We also forecast, monitor and evaluate all aspects of our marketplace using both large scale observational data and thoughtful experimentation.
If you are passionate about original ideas, and take pride in seeing those thoughts come to life in a high impact setting, then you’ll be at home in our team where creative exploration and iterative experimentation are at the heart of what we do. As part of Marketplace, you will work side-by-side with Uber's engineering team to scale your ideas across Uber's real-time production systems, and then strive to gain insights from the real world outcomes we measure.
At Uber we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.