About the Role
The Driver team at Uber is focused on accelerating driver growth, engagement, and retention across 300+ cities worldwide. Data Scientists on Driver play a central role in guiding product development and strategy through the discovery of insights from data. In this position, you will offer a data-driven perspective and work closely with product, engineering, and marketing. You will be on the forefront of analysis and leverage our data sources to propose new ideas related to every area of our product, including developing predictive models of driver behavior, studying market balance and developing a growth model in the context of a two-sided market, creating experiment designs for product changes with difficult constraints (e.g. extensive product network effects). Our team's autonomy gives us the flexibility to focus on the highest-impact projects in this adaptive and challenging role as we bring increasing numbers of riders and drivers onto the Uber platform.
Driver Vehicles is part of the Driver team, fully based in Seattle. Vehicles is a big force to Uber global traffic, and it also plays a critical role in Driver growth. Duties in Vehicles DS team cross entire DS territory including machine learning, economics, optimization, experiment, data engineering, business intelligence, customer intelligence, and data visualization.
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.
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.