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Manager, Data Science | Rider Experience






San Francisco, CA, US


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.

About the role:


Rider Experience builds the core platform that enables millions of Riders every day to satisfy their transportation needs. This team owns the full experience of a Rider within the Uber platform from their request to their destination. The core experience team interfaces with all the major services at Uber and owns the platform and the app that manages requests, dispatches, product selection and hotspots generation and management.


We're looking for an experienced Data Science leader to scale the data science team addressing some of the hardest data problems related to Uber's core functionalities.

What You'll Do:


  • Recruit and lead a team of 10-12 Data Scientists and Product Analysts
  • Use data and insights to help shape core product strategy
  • Design, run and analyze experiments to scale and improve products features and performance
  • Develop machine learning, statistical and optimization models to enhance and personalize the rider experience
  • Coach and develop team members on technical and business skills
  • Provide a fun and collaborative work environment that fosters innovation



What You’ll Need:


  • Excellent educational background in a relevant technical field (e.g., machine learning, statistics, mathematics, economics, operations research)
  • 10+ years’ professional experience in data, analytics, or other quantitative work
  • 5+ years’ hands-on experience managing technical teams
  • 5+ years’ experience working with business and product executives
  • Experience with mobile analytics, loggins and  experimentation
  • Experience with Big Data systems
  • Strong communications and influencing skills

Apply for the job

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