We’re changing the way people think about transportation. Not that long ago we were just an app to request premium black cars in a few metropolitan areas. Now we’re a part of the logistical fabric of more than 600 cities around the world. Whether it’s a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.
For the people who drive with Uber, our app represents a flexible new way to earn money. For cities, we help strengthen local economies, improve access to transportation, and make streets safer.
And that’s just what we’re doing today. We’re thinking about the future, too. With teams working on autonomous trucking and self-driving cars, we’re in for the long haul. We’re reimagining how people and things move from one place to the next.
About the Role
A successful candidate will be able to drive their team’s mission forward in a data-driven way: for example, through headroom analysis, impact evaluation, and development of production algorithms. In this role you will be directly responsible for finding opportunities to scale our impact, and developing models to enhance product functionality.
What you'll need:
Strong background in statistical concepts including experimental design.
Coding proficiency (for example in Python or Java).
Technical leadership skills
Consistently think of ways to improve our products and the business.
Effective communication skills. You can build the story and then tell it just as well.
Project management savvy. You demand the best from your peers to get joint projects done well.
Sample projects in each team are listed below:
Moving the needle in our most competitive markets through predictive modeling and end-to-end ownership of impact assessment
Development of novel machine learning algorithms for map search or travel time prediction
Analyzing our sensor data funnel to prioritize engineering effort
About the Team
The Maps team builds the systems and services that provide the geospatial backbone of Uber’s functionality. Our group’s systems mediate our users’ digital connection to their physical world through traffic modeling, travel time estimation, geospatial search, hotspot computation, and map display and navigation.