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2019 PhD University Graduate - Data Scientist - Intelligent Insights

Data Science, Engineering in San Francisco, CA

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.

What You'll Do

 

  • Analyze tons of data to quickly get insights
  • Work on building state of the art models for targeting platform from ideation to production
  • Partner with Software Engineering and Product Management teams to create internal infrastructure and programs in a large scale
  • Communicate with product teams and leadership and turn hard and abstract into simple and approachable

 

What You'll Need

  • MS or PhD in applied statistics, computer science or a quantitative domain with anticipated graduation in 2019
  • Solid theoretical and practical knowledge in machine learning models
  • Proficiency in big data technologies like Hadoop and Hive. Experience in Spark or Scala is a plus.
  • Proficiency in Python or R for data manipulation, analysis, and modeling
  • Great written and verbal communication skills to work in a collaborative environment

 

About the Team

 

Build an intelligent system to run analytics and generate insights with a click of a button. Leverage the latest targeting and insight generation techniques to find pockets of high performance in Uber's data. Build a brand new AI driven insights and targeting engine that aims to provide personalized experiences and recommendations for various products at Uber, including product cross-selling, prospecting ads targeting, marketing campaigns and product personalization. Focus on causal inference, model interpretation, and time series correlation analysis.

 

Check out the Uber Engineering Blog to learn more about the team!


See our Candidate Privacy Statement

At Uber we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.