What You'll Do
- Ensure alignment between policy research and business strategy, building on a rich understanding of - and relationships across - policy, product, legal, science, and operations
- Conduct careful statistical and econometric analysis in support of our priorities, collaborating with international teams to develop research that speaks to their local contexts
- Present economic reasoning and analytical results to internal audiences (e.g., our senior leadership team) and external audiences (e.g., policy partners)
Basic Qualifications
- Ph.D., M.S., or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. (If Ph.D, or M.S. degree, a minimum of 2+ years of industry experience required and if Bachelor's degree, a minimum of 4+ years of industry experience as a Data Scientist or equivalent).
- Strong SQL, Python or R foundation and expertise.
Preferred Qualifications
- Ability to collaborate cross-functionally and communicate complex topics to audiences with different backgrounds
- A track record of working independently and conducting research with minimal oversight
- Experience in policy research, particularly background in developing and bringing quantitative evidence to bear on public policy and legal strategies
- Excellent project management skills and the ability to develop and maintain collaborative and productive research relationships with other teams around the company
- Passion for Uber!
For New York, NY-based roles: The base salary range for this role is USD$183,000 per year - USD$203,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$183,000 per year - USD$203,000 per year.