Contract Student Worker - Data Scientist

Zoox · Zoox Internships

Hours: Contract
Where: Foster City, CA
Posted: 4 days ago

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.

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.

What you'd do

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

What they want

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
Partner with Workforce Management, Finance, Strategy, Data Science, and operational leaders to align assumptions and establish a shared operating forecast
Currently pursuing a master’s 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.