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2019 PhD University Graduate - Data Scientist - Experimentation

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.

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What You'll Do

  • Design experiments to evaluate the optimization in the rider-partner marketplace
  • Develop statistical models/analysis and apply them into solving real-time problems
  • Partner with Software Engineering and Product Management teams to create internal infrastructure and programs in a large scale
  • Communicate with product teams and turn hard and abstract into simple and approachable
  • Define key business metrics for experimentation and running large scale experiments that deliver impactful results to the business
  • Collaborate with Data Modeling teams to design metrics and develop SQL queries to generate reports
  • Guide the product teams through data-driven recommendations
  • Automate analysis and pipelines via SQL and python based ETL frameworks

 

What You'll Need

 

  • A graduate degree or equivalent in applied statistics, computer science or a quantitative domain
  • 3- 5 years working experience delivering, scaling, and owning highly successful and innovative experiments and data science products
  • Experience with big data using technologies like Hadoop, Hive, and Spark
  • Experience with a variety of relevant data manipulation languages (Python, R, SQL)
  • Great communication skills

 

About the Team

 

Under the Hood of Uber’s Experimentation Platform (https://eng.uber.com/xp/). Build methodologies to help Uber experiment at scale by working on a variety of problems addressing A/B testing, Multi-Arm Bandits and monitoring. Develop tools that allow Uber to test things like dispatching, ride sharing, and dynamic pricing algorithms applied to a real-time, stochastic marketplaces around the globe. 

 


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.