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We continually seek opportunities to expand our network of talented professionals, whether as part of NEA's team of investors and support personnel, or in an exciting role at one of our portfolio companies. Open positions with NEA will be posted as available, as well as a listing of current career opportunities with NEA-backed companies.

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Job Details

Data Science Manager - Marketplace Forecasting at Uber
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

 

Uber’s Marketplace team is looking for an experienced, passionate data science manager to lead and scale a functional team devoted to supply and demand forecasting.  Forward projections of drivers and riders, across varying levels of spatial granularity and multiple timescales, are crucial building blocks for Uber’s pricing and supply positioning systems.  Creating and updating these forecasts in response to a rapidly changing world is a fascinating and challenging problem, which must be solved in real time leveraging enormous data sets.

About the Team

 

Uber’s Marketplace organization focuses on building technology to achieve market balance (matching the supply of drivers with demand from riders) and optimize the reliability and availability of Uber's trip fulfillment.  We are the brain of Uber, tackling the company’s most challenging quantitative problems: optimizing Uber's dynamic pricing system; providing real time positioning guidance to drivers; optimizing dispatches of drivers and couriers to incoming requests; matching riders together for UberPool, and many more.

 

 

What You'll Need

 

  • Excellent educational background in machine learning, statistics, applied math, economics, operations research, or a related field.  Masters or PhD degree preferred.
  • At least 5 years industry experience in time series modeling or machine learning, with significant personal experience as a technical contributor.  Experience working with large data sets; experience with spatial data a plus.
  • Some experience as a frontline manager, leading teams of 2 or more.  As manager, you will manage several direct reports initially and will have the opportunity to create, scale and nourish a team of experienced professionals.
  • Entrepreneurial mindset. Everywhere you go, you can't help but mobilize people, create things, solve problems, roll up your sleeves, collaborate, go above and beyond. You are an insatiable doer and motivator of others.
  • Excellent execution and organization. This team will be working with engineers and product leads at the forefront of the development cycle. To excel in this role, you should be comfortable executing with little oversight and be able to adapt to problems quickly.
  • Experience with common analysis tools - Python, R, and SQL. Demonstrable familiarity with code and programming concepts.