What You'll Do- Lead scientist to use large and sophisticated datasets to derive proactive actionable insights that inform strategic decisions.
- Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
- Lead scientists to build statistical, optimization, and machine learning models for a range of applications.
- Collaborate with various teams to identify key business opportunities and challenges, and develop data-driven solutions.
- Mentor junior team members, encouraging a culture of growth and development.
- Present findings to business and executive audiences.
Basic Qualifications- Ph.D., M.S., or Bachelors degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.
- 5+ years of industry experience as an Applied or Data Scientist or equivalent.
- 3+ years of management or tech lead experience.
- Knowledge of underlying mathematical foundations of economics, statistics, machine learning, optimization, and analytics.
- Experience in experimental design and analysis.
- Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development.
- Proficiency in SQL.
- Very strong communication skills across technical, non-technical, and executive audiences.
Preferred Qualifications- 9+ years of industry experience as an Applied or Data Scientist or equivalent.
- 7+ years of management experience.
- Experience in marketplaces.
For San Francisco, CA-based roles: The base salary range for this role is USD$239,000 per year - USD$265,500 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 .