Data Scientist, Fleet Orchestration Algorithms
Zoox
Listing collected from Zoox's career site. NextChapter is independent of Zoox.
Foster City, CA · Posted October 21, 2026
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Where Foster City, CA ranks
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November 2026
- #1Best cities for pay after cost of living$209k · of 100
- #1Best cities for pay after cost of living in the West Coast$209k · of 39
- #1Best cities for pay after cost of living in California$209k · of 32
- #1Best cities for director and executive jobs in the West Coast38% · of 71
- #1Best cities for data and analytics pay after cost of living$232k · of 28
- #1Best cities for technology pay after cost of living$209k · of 80
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
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Pay compared with the market
This listing does not state pay. Across 75 open data scientist listings that state pay, the middle half runs $130,000 to $191,500 and the median is $154,000.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
The Core Data Science team builds the products and data assets that let teams across Zoox measure and improve the autonomy and operational performance of our fleet. In this role, you'll develop the algorithms that run our robotaxi fleet: matching vehicles to riders and other missions, staging vehicles where and when they're needed, routing, and pricing.
You'll also model what goes into those decisions: rider demand, the value of the data our R&D fleet collects, servicing needs, and business inputs like events and policies. You'll be the optimization generalist on the team, working alongside specialists in marketplace economics, forecasting, and autonomy, and you'll see your algorithms run on a real autonomous fleet. You’ll join a diverse, experienced team with rapidly growing scope while working with one of the industry’s most valuable autonomous vehicle datasets.