Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
We're looking for a Decision Scientist to join the team to build data-driven strategies to address emerging fraud trends on the Uber platform. In this role, you'll work closely with a cross-functional team consisting of engineers, product managers, operations, and data scientists. This role will be responsible for key performance metrics such as fraud losses, false positives, and operational efficiency. You will require a mix of business and strong technical acumen as well as cross-functional collaboration skills to drive fraud strategy across various internal and external partners.
What You'll Do
Basic Qualifications
Preferred Qualifications
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.
Uber, is an American mobility as a service provider based in San Francisco, with operations in over 900 metropolitan areas worldwide. Its services include ride-hailing, food delivery (Uber Eats and Postmates), package delivery, couriers, freight transportation, electric bicycle and motorized scooter rental via a partnership with Lime, and ferry transport in partnership with local operators. Uber does not own any vehicles.
Toronto, Ontario, Canada
2-4 year
Toronto, ON, Canada
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
Bangalore, Karnataka, India
6-8 year
São Paulo, State of São Paulo, Brazil
0-2 year
San Francisco, CA, USA
4-6 year
Sunnyvale, CA, USA
4-6 year
San Francisco, CA, USA
8-10 year