Uber
Sr Scientist, Tech - Science
$190K–$211K
Seattle, Washington +2 · Senior · Full-time · Posted Sep 9, 2026
- Location
- Seattle, Washington
New York City, New York
Sunnyvale, California - Experience
- 5+ years of professional industry experience, or 3+ years with a Ph.D.; preferred: 6+ years in relevant applications.
- Education
- Ph.D., M.S., or Bachelor's degree in Operations Research, Data Science, Statistics, Economics, Mathematics, Computer Science, or equivalent quantitative field.
About the job
Builds and deploys models and methods for Uber’s real-time rider pricing and incentives systems, using marketplace data to improve pricing performance and business outcomes.
What you'll do
- Build, scale, and optimize statistical, mathematical programming, and machine learning models for dynamic pricing.
- Develop experimentation and causal inference methods, and use data insights to improve algorithm performance.
- Partner with Product, Engineering, and Operations to take systems from ideation to production and communicate actionable strategies.
What they ask for
- Degree in a quantitative field or equivalent quantitative field.
- 5+ years of professional industry experience in a relevant role, or 3+ years with a Ph.D.
- Strong foundation in at least one of: control theory, mathematical optimization, statistical inference, machine learning, or econometrics.
- Proficiency in Python/R and SQL, and experience designing, analyzing, and interpreting complex experiments.
Nice to have
- 6+ years applying data science, optimization, or economics in dynamic marketplace or pricing environments.
- Experience deploying algorithms into production or building large-scale pricing, auction, advertising, or supply-demand matching algorithms.
Pay
USD $190,000 per year - USD $211,000 per year (base salary)
Tools
Python/R, SQL
AI focus
Develop and optimize machine learning models for dynamic pricing applications.
Model-written summary · the original posting is authoritative