Uber
Sr Scientist, Tech - Science
$190K–$211K
San Francisco, California +2 · Senior · Full-time · Posted Sep 9, 2026
- Location
- San Francisco, California
Seattle, Washington
New York City, New York - Experience
- 5+ years of industry experience as an Applied or Data Scientist or equivalent, or 3+ years with a Ph.D.
- Education
- Ph.D., M.S., or Bachelor's degree in a quantitative field.
About the job
Builds data science and machine learning capabilities for Uber Direct, using analysis, experimentation, and production models to improve marketplace decisions and logistics.
What you'll do
- Develop business insights and identify high-impact growth opportunities with product, engineering, and operations teams.
- Build and scale statistical, optimization, and machine learning models for strategic insights and production enhancements.
- Design experiments, establish success metrics, and communicate findings to inform decisions.
What they ask for
- Degree in a quantitative field such as Statistics, Machine Learning, Operations Research, Economics, Mathematics, or Computer Science.
- Proficiency in at least one programming language, such as R, Python, Java, Ruby, Scala/Spark, or Perl.
- Experience designing experiments and interpreting results across key performance indicators.
Nice to have
- Ph.D. in a quantitative field.
- Experience with large-scale datasets using Spark, Hive, or HDFS; leading complex technical projects is also noted.
Pay
USD $190,000 per year - USD $211,000 per year (base salary) for New York City, NY; USD $190,000 per year - USD $211,000 per year (base salary) for San Francisco, CA; USD $190,000 per year - USD $211,000 per year (base salary) for Seattle, WA
Tools
R, Python, Java, Ruby, Scala/Spark, Perl, Spark, Hive
AI focus
Build and scale machine learning models for strategic insights and real-time production enhancements.
Model-written summary · the original posting is authoritative