Drimva

Uber

Scientist II - Marketplace (Multiple Teams)

$161K–$179K

San Francisco, California · Full-time · Posted Sep 23, 2026

Experience
2+ years of industry experience as an Applied or Data Scientist or equivalent; not required with Ph.D.
Education
Ph.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.

About the job

Own end-to-end data science for Uber marketplace products, using modeling, experimentation, and analytics to solve business problems and guide product decisions.

What you'll do

  • Develop data-driven models, insights, metrics, and measurement methods to improve marketplace and product outcomes.
  • Design and analyze experiments, then present actionable recommendations to cross-functional partners.
  • Drive end-to-end science aspects of product development, including logging, diagnostic tools, and prioritization.

What they ask for

  • Degree in Economics, Statistics, Machine Learning, Operations Research, or another quantitative field.
  • 2+ years of industry experience as an Applied or Data Scientist or equivalent; not required with Ph.D.
  • Programming background and proficiency with coding, SQL, and statistical analysis or algorithm prototyping in Python or R.
  • Ability to work with large datasets, prototype algorithms and models, and design and interpret experiments.

Nice to have

  • Ph.D. in a quantitative field; experience in large-scale marketplace algorithms, membership or consumer growth, or experimentation platforms.
  • Experience leading technical or cross-functional projects; for AM&D, experience in autonomous mobility or delivery domains.

Pay

USD $161,000 per year - USD $179,000 per year (base salary)

Tools

Python, R, Java, Ruby, Scala/Spark, Perl, SQL, Go

AI focus

Applies machine learning and optimization to marketplace problems; develops and prototypes models and algorithms.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)