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2019 University Graduate - Data Scientist I - Core Product






San Francisco, CA, US


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.

About the Role


We are looking for data scientists with strong backgrounds in statistics, machine learning, computer science, etc to join the core product team at Uber. In this role, you will embed in an area such as Rider or Driver and be responsible for deriving insights and building models used to optimize our users’ experiences.

What You'll Do

  • Leverage data to perform intensive analysis across all areas of our business to catalyze product development
  • Design experiments and interpret the results to draw detailed and actionable conclusions
  • Build cutting-edge machine learning models to make our product intelligent (NLP, OCR, neural network, etc)
  • Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess relative impact and extract trends
  • Create models to enhance understanding of user behavior and predict future performance of cohorts
  • Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing


What you'll need

  • Quantitative background in Statistics, Computer Science, Economics, Math or another technical field. Graduate degrees preferred.
  • Experience with common analysis tools - SQL, R, and Python. Demonstrable familiarity with code and programming concepts
  • A product mindset - you ask and address the most important analytical questions with a view on enhancing product impact
  • Self-driven with the ability to work in a self-guided manner
  • Superb communication and organizational skills

Apply for the job

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