What You'll Do
- Generate product insights through analysis to influence decisions and what / how the team builds
- Design and analyze experiments to help the team learn, ship, and measure impact
- Lead product measurement for the team, including metrics design, implementation, and goal setting
- Scale data visibility and access through dashboards or other tools
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 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).
- Strong Python or R foundation and expertise.
- Knowledge of underlying mathematical foundations of statistics, optimization, economics, and analytics.
- Knowledge of experimental design and analysis.
- Analytical rigor in approaching product problems
Preferred Qualifications
- Technology and product experience
- Marketplace experimentation background
- Modeling or causal inference exposure
For San Francisco, CA-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .