Contract Student Worker Data Scientist
Job Location:
Foster, CA - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
About Zoox
Zoox is an autonomous ridehailing company building the worlds first purpose-built robotaxi fully electric bidirectional with no steering wheel or drivers seat. Backed by Amazon and founded to make transportation safer cleaner and more accessible Zoox designs its vehicles entirely around the rider. Were currently operating in Las Vegas and San Francisco with Austin and Miami on the horizon and testing underway across seven U.S. markets.
About Our Contract Student Worker Program
Zooxs contract student worker program puts you at the center of one of the most ambitious challenges in transportation. Youll contribute to real projects work alongside engineers and researchers pushing the boundaries of autonomous technology and gain experience that goes well beyond the classroom. Were looking for students who bring strong academic foundations curiosity that doesnt stop at coursework and a drive to be part of something that matters.
Role Overview
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
- Build scenario models that help leaders understand the staffing cost and infrastructure implications of operational changes and market growth
- placeholder
- 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
- Partner with Workforce Management Finance Strategy Data Science and operational leaders to align assumptions and establish a shared operating forecast
- Currently pursuing a masters 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.
- 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.
Compensation for this role is $30/hour.
This is a contract position; employment will be through a vendor contracted with Zoox. The hourly rate is as posted and benefits eligibility is determined by the vendor
Required Experience:
IC
About Company
We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable for everyone. This is on-demand autonomous ride-hailing.
