
Contract Student Worker (Data Scientist)
Zoox
Job description
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This is a contract position; employment will be through a vendor contracted with Zoox
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As a Data Scientist focused on forecasting, you will help Fleet Operations anticipate the resources required to scale an autonomous vehicle service across markets. You will develop forecasting and scenario-planning capabilities across fleet availability, supply, staffing, operational demand, charging, and infrastructure. Your work will inform high-impact planning decisions and create a shared, data-driven view of future operational needs
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Develop forecasting models for fleet availability, supply hours, staffing, operational workload, charging demand, and infrastructure needs
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Convert spreadsheet-based planning processes into reproducible, scalable, and well-documented analytical workflows
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Evaluate model performance through backtesting, forecast-versus-actual reporting, and clearly defined accuracy measures
Benefits
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Paid parental leave
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Affinity groups and sports clubs
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Work from home opportunities
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Health insurance
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Our crew’s health and happiness is our first priority. We offer comprehensive health and mental health support, a wellbeing program, and unlimited and flexible paid time away
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We invest in our crew—and their families—for the long term. That includes generous family planning support, caregiver support, and strong cash compensation with great equity upside
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We look after our crew when they’re in the office too. Our famous food program is a great example, featuring a daily changing menu of local and sustainable dishes
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There’s a busy calendar of social events at Zoox, with more sports teams than you can count. And, of course, playing with robots is an important part of the job description- [placeholder]
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Combine statistical methods, machine learning, and AI-enabled tools to improve forecasts and make model outputs easier to interpret
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Build scenario models that help leaders understand the staffing, cost, and infrastructure implications of operational changes and market growth
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Prototype AI-powered decision-support tools that explain forecast drivers, identify emerging risks, and allow leaders to explore planning scenarios
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Partner with Workforce Management, Finance, Strategy, Data Science, and operational leaders to align assumptions and establish a shared operating forecast
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Currently pursuing a master’s degree in data science, statistics, computer science, operations research, industrial engineering, economics, applied mathematics, or another quantitative field
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Experience with forecasting, statistical modeling, optimization, simulation, or machine learning through coursework, research, internships, or professional projects
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Communicate model outputs
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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
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Strong understanding of model evaluation, uncertainty, explainability, and human oversight
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Able to work on-site in Foster City CA
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Available to commit to a minimum three-month assignment
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Strong communication, problem-solving, and cross-functional collaboration skills
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Able to commit a minimum of 20 hours per week
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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
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Ability to select the right analytical approach for the problem rather than defaulting to the most complex model
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Currently enrolled in a B.S. or M.S. program in a relevant discipline
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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