Contract Student Worker - Business Operations
Responsibilities Develop forecasting models for fleet availability, supply hours, staffing, operational workload, charging demand, and infrastructure needs
Proven ability to translate complex analytics into strategic recommendations that shape executive decision-making
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
Track record of turning analysis into strategy framing options, quantifying tradeoffs, and driving alignment among senior stakeholders
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
Comfort with ambiguity and evolving priorities in a fast-scaling operational environment
Bonus Qualifications Partner with Workforce Management, Finance, Strategy, Data Science, and operational leaders to align assumptions and establish a shared operating forecast
Executive-level communication skills: crisp writing, storytelling, and presentations built for C-suite and board audiences
Currently pursuing a master’s degree in data science, business, statistics, computer science, operations research, industrial engineering, economics, applied mathematics, or another quantitative field
Influence without authority - comfortable advising senior leaders and managing stakeholders across functions
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 at one of our office locations.
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.