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 Consumer data science in Summer 2019 (3 months). We seek candidates with a strong background in economics, machine learning, computer science, or statistics. You will be embedded in a product team such as Rider or Driver Experience, 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 or data-oriented research 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
Investigate the meaning and impact of trip quality on riders and drivers
Build uplift and segmentation models to be used for targeted outreach and re-engagement strategies
Build machine learning models for product selection, hotspot location and routing optimization
Building matching algorithms to enable transportation solutions in different markets
Build OCR models to automate Driver document transcription
Build models to optimize our fleets of bikes and scooters
What You’ll Need
Ph.D. student (anticipated graduation in 2020) majoring in CS, Economics, Statistics, Machine Learning, Operations Research, Physics or other quantitative disciplines
Coding proficiency and the ability to develop statistical analysis and prototype models in Python or R
Proficiency in SQL
Ability to communicate effectively with both technical and business stakeholders
About the Team
The Consumer Data Science team uses data to improve the ways that Uber’s users engage with our products. Data Scientists on Consumer play a central role in guiding product development and strategy through the discovery of insights from data as well as developing data products to optimize the experience. Internships will be with one of the two major product areas with positions in both San Francisco and Seattle:
Driver: Creating a seamless product experience for drivers across the driver journey: matching drivers to cars, onboarding onto our platform, creating a stress-free trip experience, and providing flexible earnings opportunities to engage drivers long term.
Rider: Building products that create an awesome experience for people who ride with Uber including core experiences, airports, events, and business.
New Mobility: Creating the efficient and clean mobility experiences of tomorrow — bikes, scooters, transit, and mopeds.
En Uber no solo aceptamos la diferencia; la celebramos, la apoyamos y la valoramos para beneficio de nuestros empleados, de nuestros productos y de nuestra comunidad. Uber se enorgullece de ser un lugar de trabajo con igualdad de oportunidades y es un empleador de acción afirmativa. También estamos comprometidos con el empleo en igualdad de oportunidades sin considerar raza, color, origen familiar, religión, sexo, origen nacional, orientación sexual, edad, ciudadanía, estado civil, condición de discapacidad, identidad de género o estado de Veterano.