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2019 Postdoctoral Research Scientist - Marketplace Advanced Research & Science

Data Science, University in San Francisco, CA

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

Marketplace Data Science group is looking for Postdoctoral Scholars with a strong background in operations research, economics, statistics, machine learning, or computer science. This will be a one-year position.

If you are passionate about original ideas, and take pride in seeing those thoughts come to life in a high impact setting, then you’ll be at home in our team where creative exploration and iterative experimentation are at the heart of what we do.

 

What You’ll Do

 

  • Conduct rigorous research validated by careful statistical and econometric analysis
  • Develop methodologies and creative solutions to solve Marketplace problems
  • Work closely with product teams such as Driver Pricing, Matching, and Rider Pricing

 

What You’ll Need

 

  • Ph.D.  (anticipated graduation in 2019) majoring in Operations, Computer Science, Statistics, Economics or similar fields
  • Experience in modeling and algorithm development
  • Coding proficiency and the ability to develop statistical analysis and prototype algorithms in Python or R. Familiarity with SQL is a plus

 

About the Team

 

In Marketplace, you’ll be at at the center of Uber’s business, where riders and drivers come together at extraordinary scale. Our team tackles problems such as optimizing Uber’s short and long term pricing systems; efficiently matching incoming trip requests in Uber’s dispatch system; developing innovative incentive schemes that reward riders and drivers for choosing our network; and providing optimal routes and accurate turn-by-turn navigation to save time for everybody. We also forecast, monitor and evaluate all aspects of our marketplace using both large scale observational data and thoughtful experimentation.

 

You will work side-by-side with Uber's data science and engineering teams to scale your ideas across Uber's real-time production systems, and then strive to gain insights from the real world outcomes we see.


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