Zipline
Senior Data Scientist
$160K–$220K
South San Francisco, California, USA +1 · Senior · Full-time · Posted Aug 21, 2026
- Location
- South San Francisco, California, USA
South San Francisco, California, United States - Experience
- 6+ years in data science, machine learning, applied statistics, operations research, economics, or a related analytical field.
- Education
- A quantitative degree in computer science, statistics, mathematics, operations research, economics, engineering, physics, or a related field; advanced degree preferred, not required.
About the job
Owns data science and decision systems that improve Zipline’s autonomous delivery marketplace and operations, from problem framing through launch and iteration.
What you'll do
- Lead analysis and decision systems for pricing, routing, fleet utilization, charging, experimentation, and network planning.
- Build and evaluate models, experiments, simulations, and metrics; partner with engineers to productionize and monitor them.
- Communicate recommendations and tradeoffs to stakeholders to improve reliability, utilization, customer experience, and unit economics.
What they ask for
- Experience applying machine learning, statistical modeling, optimization, or causal inference to real-world product or business problems.
- Strong Python, C/C++, or Go skills, plus SQL proficiency and experience with large, complex datasets.
- Experience designing and interpreting experiments, including A/B tests, multiarm bandits, power analysis, and metric design.
- Experience with marketplace, logistics, mobility, delivery, pricing, routing, fleet management, or similarly complex operational systems.
Nice to have
- Advanced degree in a quantitative field.
Pay
$160,000-220,000 USD starting cash range (base salary)
Tools
Python, C/C++, Go, SQL
AI focus
Build machine learning models for marketplace, operational, and product decisions.
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