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2019 PhD Data Scientist Internship - Applied Behavioral Science

San Francisco, CA の Data Science, University

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

We’re looking for PhD intern candidates to contribute to the Applied Behavioral Science team in Summer 2019 (3 months).  We seek candidates with a strong background in statistics, behavioral science theory, and experimentation. Under the mentorship of a member of our team, you will partner closely with a product team such as Rider, Driver, or Eats to address a challenging business problem using tools from behavioral science. You’ll be focused on behavioral science theory application, experiment design, and statistical modeling on a project defined by you and your mentor.  

What You’ll Do

  • Work with your mentor closely to scope a project, define the problem, and develop and test the solution
  • Develop creative solutions to product problems using behavioral science
  • Work alongside other data scientists and product managers to understand the business use cases and production feasibility of your work, and collaborate on the experimentation of your work
  • Communicate with senior management and cross-functional teams


What You’ll Need

  • Ph.D. student (anticipated graduation in 2019 or 2020) majoring in Psychology, Marketing, or other quantitative behavioral science discipline
  • Expertise designing and analyzing experiments, from randomized experiments  to quasi-experiments
  • Deep knowledge of behavioral science theories and concepts applicable to business and product topics
  • Expertise in statistics including power analysis and parametric and non-parametric inference tests
  • Coding proficiency and the ability to conduct statistical analysis in Python or R
  • Interest in learning SQL and/or Hive
  • Ability to work with cross-functional partners, including product management, engineering, data science, and marketing
  • Strong communication skills, both written and verbal

About the Team

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.



You can learn more about us through:

 

 


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