Data Science Manager - Marketplace

7 months ago
US-CA-San Francisco
Engineering - Data Science
US-CA-San Francisco
Requisition Post Information* : External Company Name
Uber Technologies, Inc.
Requisition Post Information* : External Company URL

Uber Overview

About Uber


We’re changing the way people think about transportation. Not that long ago we were just an app to request premium black cars in a few metropolitan areas. Now we’re a part of the logistical fabric of more than 600 cities around the world. Whether it’s a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.


For the people who drive with Uber, our app represents a flexible new way to earn money. For cities, we help strengthen local economies, improve access to transportation, and make streets safer.


And that’s just what we’re doing today. We’re thinking about the future, too. With teams working on autonomous trucking and self-driving cars, we’re in for the long haul. We’re reimagining how people and things move from one place to the next.


Job Description

The Marketplace Dynamics team at Uber is looking for experienced, passionate data science leaders to lead and scale functional teams addressing some of the hardest quantitative problems related to improving Uber's real time marketplace. These challenging problems include: optimizing Uber's dynamic pricing system; providing real time positioning guidance to drivers; optimizing dispatches of drivers to incoming requests; matching riders together for UberPool, and many more.


Joining our team is a unique opportunity to be part of changing the world of transportation and logistics forever. For the data science leader who wants to have a fundamental impact on the trajectory of a hyper-growth company, this is the opportunity of a lifetime!



What you'll need

  • At least 4 years industry experience in data analytics and/or quantitative modeling, with significant personal experience as a technical contributor
  • Excellent educational background in an quantitative field, such as Statistics, Operations Research, Computer Science, or Machine Learning; Masters or PhD degree preferred
  • Prior management and team-forming experience. You'll be managing several direct reports initially and will have the opportunity to create, scale and nourish a team of experienced professionals.
  • Entrepreneurial. Everywhere you go, you can't help but mobilize people, create things, resolve 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.
  • Strategic mindset - you're comfortable thinking a few steps ahead of where the team is at now.
  • Experience with common analysis tools - SQL, R, and Python. Demonstrable familiarity with code and programming concepts.


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