We are looking for a person with a proven track record in Data Science to join our Risk and Payments Data Science team and make significant contributions to our mission to continue to build a global payment and risk management platform of massive scale. In this role, you will work closely with senior leaders in Product, Data Science, Engineering, and Operations on fast moving, high-impact problems. At Uber we use data to drive virtually every decision, and this includes our payment and risk platform: from offering new rider payments and driver disbursement options, to detecting and deterring fraud, reduce cost and increase reliability. As a Data Scientist in our team, you will be leveraging your unique combination of:
You will also have the chance to work with massive datasets, a world-class Data Science platform and a team of talented people - Uber is every Data Scientist's dreamland
You will help improve user experience while mitigating risk as our platform moves money between riders, drivers and partners globally, while reducing transactional cost by leveraging a variety of existing and emerging digital payment methods. You will also support product management in gathering insights, identify opportunities and analyze vast quantities of data through an array of Data Science tools and methods.
As a Data Scientist in the UPN Data Science team you will:
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.