Contract Student Worker, Zoox

• 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
• 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
• 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

Desirable

• This is a contract position; employment will be through a vendor contracted with Zoox
• 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
• 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