About the Role
In this role, you will be joining a high-priority effort to:
- Build a central marketplace objective across riders and earners.
- Help define measurements/experiments to identify the long-term effects of changes to pricing policies, dispatch policies (e.g. ETAs), etc…
- Build scalable systems that allow all Marketplace optimization systems to score hundreds of thousands of decisions per second in real-time.
- Create a validation framework to monitor performance and identify areas of improvement.
Basic Qualifications
- Ph.D., M.S. or Bachelor’s degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields
- Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics
- Knowledge of experimental design and analysis
- Experience with exploratory data analysis, statistical analysis and hypothesis testing, and model development
- Ability to use Python to work efficiently at scale with large data sets
- Proficiency in SQL
Preferred Qualifications
- Expertise in causal inference and advanced analytical methods focused on understanding user behaviors
- 3 years of industry experience
- Experience in model or algorithm development in two-sided marketplace platforms
- Strong communication and stakeholder management skills
For San Francisco, CA-based roles: The base salary range for this role is USD$174,000 per year - USD$193,500 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 .