Uber is looking for an economic-minded applied scientist for the Marketing Science team to develop strategic insights and drive product strategy including running experimentation and conducting product deep dives for Uber's 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).
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.
- 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.
- Excellent project management skills and the ability to develop and maintain collaborative and productive relationships with other teams around the company.
