Amazon

Contract Student Worker - Data Scientist

Foster City, CA

Live, first seen by us 75 days ago

Pay: $30/hour — pay source
We want to be transparent: this is not an internship. 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. 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
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Work setting: Not stated
Employment: Contract — employment source
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. 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 About Zoox
Employment type Contract
Employment type in the employer’s posting: Contract
From the employer’s posting

Before you apply

New graduates: For current studentsCurrently pursuing a master’s degree in data science, statistics, computer science, operations research, industrial engineering, economics, applied mathematics, or another quantitative field

What you’ll work on

Full posting

As a Data Scientist focused on forecasting, you will help Fleet Operations anticipate the resources required to scale an autonomous vehicle service across markets.

Develop forecasting models for fleet supply, staffing, workload, charging, and infrastructure
Turn spreadsheet planning processes into reproducible, documented analytical workflows
Evaluate forecasts through backtesting and forecast-versus-actual reporting
Build scenario models for staffing, cost, and infrastructure impacts of growth
Prototype AI-powered tools that explain forecast drivers and risks

From the employer’s posting

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

Prototype AI-powered decision-support tools that explain forecast drivers, identify emerging risks, and allow leaders to explore planning scenarios

What you’ll bring

All qualifications

Core experience

Experience with forecasting, statistical modeling, optimization, simulation, or machine learning through coursework, research, internships, or professional projects
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.
Strong communication, problem-solving, and cross-functional collaboration skills

Qualification wording

Experience with forecasting, statistical modeling, optimization, simulation, or machine learning through coursework, research, internships, or professional projects

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.

Strong communication, problem-solving, and cross-functional collaboration skills

Education & alternatives

- 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

About Amazon

Zoox is an autonomous ridehailing company building the world's first purpose-built robotaxi — fully electric, bidirectional, with no steering wheel or driver's seat.

In the employer’s words · Read in context

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Posting record

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Status in our records: Live
First seen by us: Aug 21, 202675 days ago
Recorded sightings: 149
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$118K–$193K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 75

Up longer than most. Similar jobs usually come down between day 7 and day 55.

From 9,988 similar postings that came down. Coming down is not always a hire.

Amazon is hiring

23 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring at a steady pace
Takes jobs down at a usual pace
4% of open jobs were reposted

Hiring record

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025: $120,230
Expected change, 2025 to 2035: 34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

About Zoox

Zoox is an autonomous ridehailing company building the world's first purpose-built robotaxi — fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're 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

Zoox's contract student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't 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.

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

Required Qualifications

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

Bonus Qualifications

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.

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 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.

We want to be transparent: this is not an internship. 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.
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

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.

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.

Employment type

Contract

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