Uber
Staff Scientist, Tech - Science
$216K–$240K
San Francisco, California +3 · Staff · Full-time · Posted Sep 8, 2026
- Location
- San Francisco, California
Seattle, Washington
New York City, New York
Sunnyvale, California - Experience
- 6+ years with an M.S./Ph.D. or 8+ years with a B.S.
- Education
- Ph.D., M.S., or B.S. in Economics, Operations Research, Statistics, Computer Science, Applied Mathematics, or related quantitative fields.
About the job
Sets scientific strategy and leads the design and production evolution of Uber’s real-time rider pricing systems and marketplace experimentation.
What you'll do
- Define the scientific strategy, roadmap, frameworks, and pricing algorithms for real-time rider pricing.
- Establish experimentation standards and statistical frameworks, including causal inference and marketplace testing.
- Guide technical execution and partner with Product, Engineering, and business executives to deliver scalable production systems.
What they ask for
- Ph.D., M.S., or B.S. in Economics, Operations Research, Statistics, Computer Science, Applied Mathematics, or a related quantitative field.
- 6+ years of industry experience with an M.S./Ph.D. or 8+ years with a B.S., building, deploying, and scaling quantitative models in production.
- Deep expertise in statistical inference, advanced experimental design, and quantitative economic modeling.
- Proficiency in SQL and Python, and experience with large-scale distributed data tools such as Spark or Presto.
Nice to have
- Expertise in marketplace design, pricing algorithms, industrial organization, ML system design, or large-scale optimization.
- Experience leading multi-quarter, organization-wide initiatives that improved marketplace or financial metrics in production.
Pay
USD $216,000 per year - USD $240,000 per year (base salary)
Tools
SQL, Python, Spark, Presto
Model-written summary · the original posting is authoritative