Uber
Sr Manager, Science - Merchant
$252K–$280K
San Francisco, California +2 · Manager · Full-time · Posted Oct 14, 2026
- Location
- San Francisco, California
Seattle, Washington
New York City, New York - Experience
- Minimum 10 years as a Scientist or equivalent; 8+ years with a Ph.D.; minimum 4 years in people management.
- Education
- Ph.D., M.S., or Bachelor's degree in Math, Economics, Statistics, Engineering, or other quantitative fields.
About the job
Leads Uber Eats Merchant science, setting technical direction and driving high-impact product and marketplace initiatives through a team of scientists.
What you'll do
- Lead, mentor, and develop scientists, including senior individual contributors and people managers.
- Set technical vision and roadmap for product areas, including marketplace design, pricing, and machine learning applications.
- Turn complex business questions into analysis and insights, and partner cross-functionally to execute initiatives and strengthen data foundations.
What they ask for
- Degree in Math, Economics, Statistics, Engineering, or another quantitative field (Ph.D., M.S., or Bachelor's).
- At least 10 years of industry experience as a Scientist or equivalent (8+ years with a Ph.D.).
- At least 4 years of people-management experience, including managing managers and senior individual contributors.
- Expertise in experimental design, causal inference, production machine learning, and Python or R for large-scale data analysis.
Nice to have
- Ability to balance analytical rigor with business judgment and practical impact.
- Strong storytelling skills for communicating technical subjects to executive audiences.
Pay
USD $252,000 per year - USD $280,000 per year (base salary) for New York City, San Francisco, and Seattle roles.
Tools
Python, R
AI focus
Applies machine learning to marketplace design, pricing algorithms, and product systems; develops machine learning models for production environments.
Model-written summary · the original posting is authoritative