What You’ll Do- Lead scientist to leverage large and sophisticated datasets to derive proactive actionable insights that inform strategic decisions and improvements in key revenue generating optimization engines at Uber
- 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 strategic insights, simulations, and deeper understanding of marketplace performance
- 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. or M.S. in Statistics, Mathematics, or related fields
- 4+ years of industry experience as a Data Scientist or equivalent.
- 3+ years of management or tech lead experience.
- Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, and analytics.
- Experience in experimental design and analysis.
- Experience with exploratory data analysis, statistical analysis and testing, causal analysis
- Proficiency in SQL.
- Very strong communication skills across technical, non-technical, and executive audiences.
Preferred Qualifications- PhD preferred
- 6+ years of industry experience as a Data Scientist or equivalent.
- Experience in large scale web applications and marketplaces
For San Francisco, CA-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 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 .