Data Scientist – Freight Pricing

3 - 5 years
Full Time
United States
San Francisco, CA
November 4, 2019

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

We’re looking for experienced, passionate data scientists to work on our team. Specifically, we are looking for someone to build the pricing engine that will power Uber Freight.

The marketplace dynamics group is all about the intersection of market signals and business strategy. Its mission is to ensure that Uber Freight has the data, processes, and tools to build and maintain a healthy marketplace. That means building quoting tools so that our Operations teams can bid and sell with confidence; that means building data structures to track the buy-offer-sell spreads of our freight; that means building a dynamically priced marketplace to ensure that our drivers are the most fairly paid in the industry.

What You’ll Do

  • You’ll be partnering with Uber’s product and engineering teams to drive actionable data insights and solutions from some of the world’s most interesting datasets. Our data scientists work on every aspect of the product – whether it’s exploratory research to understand user behavior for riders and drivers, or running experiments to optimize untapped areas of growth, or developing machine learning models to mitigate fraud on our platform.

What You’ll Need

  • Minimum 3 years practical data science or engineering work experience out of school, in the aforementioned domains
  • Domain expertise in logistics, supply chain management, and freight.
  • Strong quantitative background: MS or PhD preferred.
  • Familiarity with technical tools for analysis – Python (with Pandas, etc.), R, SQL
  • Programming chops – 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.
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