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.
We're looking for an experienced data science leader to lead and scale a team addressing some of the hardest data problems on one or more of our products.
Your team of data scientists will be partnering with Product and Engineering to advance actionable data insights and solutions from Uber's large datasets. We work on every aspect of the product - whether it's exploratory research to understand user behavior for riders and drivers, or running experiments to optimize untapped areas of growth, or developing machine learning models to mitigate fraud on our platform. For the data science leader who wants to have a fundamental impact on the trajectory of a hyper-growth company, this is the opportunity of a lifetime.
What you'll need
At least 4 years of experience in quantitative analysis, and a deep educational background in an engineering or technical field.
Prior management and team-building experience. You'll be managing several direct reports initially and will have the opportunity to scale, build and develop a team of experienced professionals.
Self-starter and collaborative leader. Everywhere you go, you can't help but mobilize people, build things, resolve problems, get into the details, go above and beyond, and draw out the best in people. You are a doer and motivator of others.
Excellent execution and organization. This team will be working with engineers and product leads at the forefront of the development cycle. To excel in this role, you should be comfortable executing with little oversight and be able to adapt to problems quickly.
Strategic mindset - you're comfortable thinking a few steps ahead of where the team is at now.
Experience with common analysis tools - SQL, R, and Python. Demonstrable familiarity with code and programming concepts.
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.