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.
About the Team
Uber Labs is a centralized data science team focused on applying theoretical insights and statistical methodologies from behavioral science through partnerships with product, data science, and marketing teams.
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
Check out our latest blog post!