2019 PhD University Graduate - Data Scientist - Applied Behavioral Science
Data Science, University 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.
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
At Uber Labs, our mission is to leverage insights and methodologies from behavioral science to build programs and products that are intuitive and enjoyable for customers. Uber Labs’ team of scientists have PhDs in fields including psychology, marketing, and cognitive science, with domain knowledge in topics including decision making, motivation, learning, and emotion, methodological capabilities in experimental and quasi-experimental design, and statistical expertise in areas such as hierarchical modeling, structural equation modeling, and causal inference approaches. With our domain expertise, we provide insight into challenges like how to increase customer satisfaction, and with our methodological and statistical expertise, we provide answers to questions like how to quantify the business impact of customer satisfaction.
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.