Zoox
Contract Student Worker - Data Scientist
- Location
- Foster City, CA, US
- Arrangement
- On-site
- Employment type
- Contract
- Posted
- 20 August 2026 (about a month ago)
Checked about a month agoApplications go to the employer, never to RoleSprint
About this role
Responsibilities • Develop forecasting models for fleet availability, supply hours, staffing, operational workload, charging demand, and infrastructure needs
• Convert spreadsheet-based planning processes into reproducible, scalable, and well-documented analytical workflows
• Evaluate model performance through backtesting, forecast-versus-actual reporting, and clearly defined accuracy measures
Required Qualifications • Build scenario models that help leaders understand the staffing, cost, and infrastructure implications of operational changes and market growth
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• Combine statistical methods, machine learning, and AI-enabled tools to improve forecasts and make model outputs easier to interpret
• Prototype AI-powered decision-support tools that explain forecast drivers, identify emerging risks, and allow leaders to explore planning scenarios
Bonus Qualifications • Partner with Workforce Management, Finance, Strategy, Data Science, and operational leaders to align assumptions and establish a shared operating forecast
• Currently pursuing a master’s degree in data science, statistics, computer science, operations research, industrial engineering, economics, applied mathematics, or another quantitative field
• Experience with forecasting, statistical modeling, optimization, simulation, or machine learning through coursework, research, internships, or professional projects
• Communicate model outputs
• An AI-native technical skill set, with demonstrated experience using LLMs, coding copilots, APIs, or agent frameworks to develop analytical products or automate technical workflows
• Strong understanding of model evaluation, uncertainty, explainability, and human oversight.
Program Requirements • Ability to select the right analytical approach for the problem rather than defaulting to the most complex model.
• Currently enrolled in a B.S. or M.S. program in a relevant discipline.
• Strong communication, problem-solving, and cross-functional collaboration skills
• Available to commit to a minimum three-month assignment.
• Able to commit a minimum of 20 hours per week.
• Able to work on-site in Foster City CA.
• Must adhere with Zoox confidentiality requirements, including refraining from using or sharing proprietary company information outside of Zoox, such as in academic research, theses, publications, or presentations.
About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
Work location
- Foster City, CA, US
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About this listing
Advertised by Zoox and published on Lever, the applicant tracking system they use.
RoleSprint is not the employer and not a recruiter. Applications are made on the employer’s own site and never reach us; what RoleSprint does is help you decide whether a role is worth your time and prepare for it if it is.
Published 20 August 2026, last checked about a month ago. A posting stops being advertised here 90 days after the employer published it, and one the employer takes down is marked closed rather than quietly removed.