Contract Student Worker - Data Scientist
About The Position
Zoox is an autonomous ridehailing company building the world's first purpose-built robotaxi. 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. This is a contract position; employment will be through a vendor contracted with Zoox. The Contract Student Worker Program is designed to complement your academic experience by providing meaningful, ongoing work alongside your studies. Rather than participating in a cohort-based program, you'll join a team directly and contribute to real projects with real impact. While the program does not include structured intern programming or a pathway to full-time employment, it offers valuable opportunities to learn, develop new skills, and gain hands-on experience in a professional environment.
Requirements
- 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.
- Ability to select the right analytical approach for the problem rather than defaulting to the most complex model.
Nice To Haves
- Partner with Workforce Management, Finance, Strategy, Data Science, and operational leaders to align assumptions and establish a shared operating forecast
- 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.
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
- Build scenario models that help leaders understand the staffing, cost, and infrastructure implications of operational changes and market growth
- 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
Benefits
- Compensation for this role is $30/hour.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Part-time
Career Level
Entry Level
