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Behavioral Data Scientist

Data Science, Engineering in Amsterdam, Netherlands

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 new modalities, self-driving cars and even urban air transportation, we’re in for the long haul. We’re reimagining how people and things move from one place to the next.

About the Role

 

Uber Labs data scientists form cross-functional partnerships with product, marketing, and data science teams across the business to bring insights and methods from behavioral science to solve some of Uber’s toughest business challenges.

 

 

What You’ll Do

 

  • Partner with teams across the company to bring a behavioral science perspective to product and program design, content optimization, and product strategy
  • Apply statistical methods from behavioral science (see eng.uber.com/mediation-modeling)
  • Conduct efficient literature reviews to identify relevant behavioral science theories and concepts to apply to a problem space
  • Design and conduct experiments

 

What You’ll Need

 

  • PhD in Psychology, Marketing, or other quantitative behavioral science
  • Expertise in statistics including power analyses, parametric, and non-parametric tests
  • Expertise in experiment design and methods, from A/B tests to quasi-experiments
  • Expertise in behavioral science theories and concepts applicable to business and product topics
  • Fluency in R or Python
  • Ability to work with cross-functional teams, including collaboration with product management, engineering, data science, and marketing
  • Strong communication skills, both written and verbal

 

Bonus Points If

 

  • Expertise in additional statistical methods (e.g., Bayesian approaches, dyadic analysis, causal inference approaches, factor analysis, SEM)
  • Experience with SQL and Hive

 


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.