Uber is looking for an economic-minded applied scientist to develop strategic insights and drive product strategy, including running experimentation and conducting product deep dives for its Rides and Eats business.
Requirements
- Strong SQL, Python and/or R foundation and expertise.
- Knowledge of experimental design and analysis (e.g., advanced analytics, econometrics, causal inference).
- A track record of working independently and conducting rigorous quantitative research in an outcome-oriented way with minimal oversight.
- Industry experience in marketing science or product research, particularly background in developing and bringing quantitative evidence to bear on marketing or product strategies.
Responsibilities
- Develop and lead careful statistical and econometric analyses (including designing, running, and evaluating large-scale marketing experiments) in support of our business priorities.
- Collaborate with cross-functional teams to develop strategic insights and research that speaks to their contexts.
- Present economic reasoning and analytical results to cross-functional audiences within Uber including to Uber's senior leadership team.
Other
- Ph.D., M.S., or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 3+ years of industry experience as a Data Scientist or equivalent).
- Ability to collaborate cross-functionally and clearly and concisely communicate complex topics to audiences with different backgrounds.
- Excellent project management skills and the ability to develop and maintain collaborative and productive relationships with other teams around the company.
- Passion for Uber!
