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
We’re looking for an experienced data scientist on our Marketing Data Science team to apply statistical and machine learning models to drive investment decisions for Uber’s multi-million dollar marketing budget. You will be responsible for building quantitative models and developing actionable analytical solutions that will inform decisions across Uber’s marketing budget, accelerating both demand and supply growth within Uber’s 600+ cities worldwide! The right person for this role has a passion for leveraging large scale data analysis, predictive modeling, machine learning, experimentation and technology to power decisions across our marketing investment.
What You’ll Do
What You’ll Need