Head of Data - Freight

4 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

About the Role


Data, naturally, lies right at the heart of this marketplace we are building. The Freight team is a year old, so you’ll be coming into a role where you’ll have the opportunity to own your products all the way from ideation through maturity, and you’ll be able to build an organization as you see fit.


What You'll Do

  • Leading and continuing to build a team of data analysts, data scientists, and data engineers with a cross functional set of stakeholders. Your team will support data and analytics for all business functions (engineering, product, operations, legal)
  • Own the entire data engineering pipeline from start to finish, including ETLs, data modeling, and upstream data dependencies
  • Carry out stand alone research and analysis that prepares us to utilize data opportunities as we continue to grow

What You'll Need

  • Minimum 3 years data science leadership experience, managing organizations of 10+ stakeholders.
  • Experience supporting the analytics needs of all business functions (operations, product, research and development).
  • Experience recruiting and successfully building out new organizations from 1-2 employees to 20+.
  • Domain expertise in operations driven organizations, including but not limited to: logistics, transportation, supply chain management, or freight.
  • Strong quantitative background: MS or PhD preferred. Preference towards Economics, Econometrics, Operations Research, Operations Management, Industrial Engineering, Statistics, or similar.
  • Familiarity with technical tools for analysis - Python (with Pandas, etc.), R, SQL/HiveQL/Presto. Demonstrable familiarity (work experience, Github account) with programming concepts. Go or Python skills and previous software engineering background a plus.
  • Organizational skills and the ability to execute and own a complete research project -  go from idea to experimentation to prototype to implementation.
  • Driven and focused self-starters, great communicators, amazing follow-through - you aggressively tackle your work and love the responsibility of being individually empowered.
  • Scrappy, Entrepreneurial mindset - you’re comfortable making do with what you have and building toward the future.


About the Team


Trucks move everything you buy, why shouldn’t booking a truck be as seamless as booking an Uber?


Uber Freight connects shippers with truckers, much like the way the Uber connects riders and drivers. The Uber Freight team believes that empowering truck drivers will bring more open, efficient, and increasingly safer transportation to our roads. We are a team of sharp, entrepreneurial individuals who are redefining the movement of goods around the world. We are currently looking for candidates to join our growing team who share our enthusiasm for tackling today’s toughest challenges in transportation.


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