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Behavioral Data Scientist

Data Science, Engineering in San Francisco, CA

About Uber


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.

The mission of the Labs team is to leverage applied behavioral science to power products and cities. As part of the Product Platform Organization, we act as internal consultants who partner with data science, product, and marketing teams to tackle some of Uber’s toughest challenges. We’re looking for behavioral science enthusiasts with expertise in experimentation, hypothesis testing, causal inference, and other skills to grow our diversity of skills.


Example Projects

  • Apply factor analysis to uncover latent factors for user segmentation
  • Apply mediation modeling to identify the mechanisms that account for the success or failure of new product features (see to learn more)
  • Use psychological theory to inform feature development for natural language processing
  • Identify relevant behavioral science concepts that can be leveraged to promote the success of new products
  • Design and conduct experiments to test product features

Here are the kinds of skills we're looking for:  

  • PhD in Psychology, Marketing, Neuroscience, Sociology or other quantitative behavioral science
  • 5+ years of research / analytical experience; including experimental/applied research
  • Expertise in statistics required for hypothesis testing, including power analyses, parametric and non-parametric tests (e.g. chi-square, ANOVA, regression, multilevel modeling) and other statistical methods (e.g., factor analysis, causal inference, etc.)
  • Fluency with at least one statistical software program (R, Python)
  • Ability to work in a high volume environment and consult on multiple projects simultaneously
  • Unrivaled communication skills both written and verbal, from one-on-one meetings to leading regional trainings


Bonus points if you have:

  • Machine learning experience
  • Natural language processing experience
  • SQL/hive experience

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.