Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
Marketing data and applied science informs decisions across Uber's global marketing efforts, accelerating both demand and supply growth worldwide. We leverage advanced statistical modeling, machine learning, or data mining techniques in a scalable manner including large scale data processing such as Spark, Hive, and Uber's proprietary machine learning platform, and more.
About the Role
We're looking for experienced applied scientists on our Marketing Data and Applied Sciences team to help optimize investment decisions for Uber's multi-million dollar marketing budget using cutting edge machine learning and statistical models. You will be responsible for developing meaningful analytical solutions and productionizing models in a scalable manner to advise decisions across Uber's global marketing efforts, accelerating both demand and supply growth within Uber's 600+ cities worldwide! The right person for this role has a passion for driving impact by using predictive modeling, machine learning, experimentation and technology to power decisions across our marketing organization.
What You'll Do
Basic Qualifications
Preferred Qualifications
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