---
title: 'Data Scientist, Fleet Orchestration Algorithms at Zoox'
canonical: 'https://feeny.ai/job/data-scientist-fleet-orchestration-algorithms-zoox-foster-city-wexh01ras510'
type: 'job'
last_seen: '2026-10-27'
---

# Data Scientist, Fleet Orchestration Algorithms at Zoox

- **Company:** Zoox
- **Location:** Foster City, CA
- **Compensation:** $177k–$217k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-21
- **Last confirmed live:** 2026-10-27
- **Apply:** https://jobs.lever.co/zoox/254559af-8372-403b-8220-9b49af400361

## Job description

The Core Data Science team builds the products and data assets that let teams across Zoox measure and improve the autonomy and operational performance of our fleet. In this role, you'll focus on fleet simulation — the environment our data teams use to develop, test, and evaluate the algorithms that orchestrate our autonomous fleet (dispatch, routing, and vehicle assignment) and to understand how those algorithms perform before they reach the road.

You’ll piece together the constituent components into a coherent, easy-to-use simulation environment, filling in the gaps, and building generalizable mechanisms so data scientists can measure their algorithm's impact on fleet efficiency. You'll join a diverse, experienced team with rapidly growing scope while working with one of the industry's most valuable autonomous vehicle datasets.

In this role, you will:

- Design, prototype, and help deploy algorithms for vehicle assignment, staging, routing, and pricing
- Model the inputs to orchestration (rider demand, data-collection value, servicing needs, events, and policies) as objectives and constraints
- Work with specialists in marketplace economics, forecasting, and autonomy to turn their models into decisions the fleet acts on
- Measure impact on revenue, utilization, and rider experience through simulation, offline evaluation, and online experiments
- Contribute to how we evaluate and roll out orchestration improvements

## Qualifications

- PhD or MS with 2+ years of relevant industry or research experience, in operations research, robotics, controls, transportation, computer science, applied math, or a related field
- Deep expertise in at least one of: combinatorial/integer optimization, stochastic optimization or control, reinforcement learning/approximate DP, network flows, or marketplace/demand modeling, plus the curiosity to work across the rest
- Strong coding skills in Python, C++, or Rust; you write clean, tested, version-controlled code
- Ability to turn ambiguous real-world problems into well-defined models and explain the tradeoffs to non-specialists
- Good communication and collaboration skills

Bonus Qualifications

- Internship or research experience in ride-hailing, delivery, logistics, or AV fleets (dispatch, routing, rebalancing, pricing)
- Algorithms deployed in production or used on real operational data
- Publications in operations research, transportation, or robotics venues

## 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.

Follow us on LinkedIn

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.

## About Zoox

## Company Overview
- **One-liner**: Zoox is building a fully autonomous, all-electric, purpose-built robotaxi service to give the world a better way to ride.
- **Entity Type**: Private (independent subsidiary of Amazon, acquired in 2020)
- **Headquarters**: Foster City, California, USA (with offices in Las Vegas, San Francisco, Austin, Miami, Atlanta, Los Angeles)
- **Founded**: 2014
- **Founders**: Not specified in provided sources

## Core Business
- **Primary industry**: Autonomous ride‑hailing / Self‑driving electric vehicles
- **Target customers**: B2C – individual riders seeking safe, convenient, and sustainable urban transportation
- **Mission**: “Give the world a better way to ride” – providing safer, cleaner, autonomous ride‑hailing for everyone [zoox.com](https://zoox.com/about)

## Products & Services
- **Zoox Robotaxi**: A purpose‑built, fully autonomous electric vehicle designed from the ground up for ride‑hailing. Features bidirectional driving, four‑wheel steering, and no steering wheel or pedals. The service handles all charging, maintenance, and fleet management – riders simply get in and enjoy the ride [zoox.com](https://zoox.com).

## Market Standing
- **Valuation / Market Cap**: Not disclosed (Zoox is a private subsidiary of Amazon)
- **Key Metric**: Not publicly available (revenue and funding details are not reported as a stand‑alone entity)
- **Notable Investors / Partners**: Amazon (parent company)
- **Growth Signals**:
  - Received authorization from the Nevada DMV to operate robotaxis on public roads [zoox.com/about](https://zoox.com/about)
  - Expanded testing and operations to Las Vegas, Seattle, San Francisco, and other cities
  - Continues to scale its engineering and operations teams (multiple open roles on the careers page as of 2026)

## Competitive Advantages
- **Purpose‑built design**: Unlike retrofitted vehicles, Zoox’s robotaxi is designed from scratch for autonomous ride‑hailing (symmetrical, bidirectional, four‑wheel steering, no driver controls)
- **Amazon backing**: Deep financial resources, supply chain expertise, and cloud infrastructure (AWS) support rapid development and scaling
- **Full‑stack autonomy**: In‑house AI, computer vision, and sensing stack integrated directly into the vehicle design
- **Safety‑first approach**: Comprehensive testing, safety‑critical system design, and focus on public road validation

## Strategic Focus
- Achieving commercial launch of the Zoox ride‑hailing service in select U.S. cities
- Continuing to mature the autonomous driving system through real‑world testing and simulation
- Expanding the “Go‑to‑Market” strategy and building out operations teams (see CRM Lead, Go‑to‑Market Manager roles) [jobs.lever.co/zoox](https://jobs.lever.co/zoox)
- Scaling manufacturing and prototyping to prepare for fleet deployment

## Why Work Here
- **Culture**: Diverse, supportive community with inclusion‑focused strategy. Crew‑led groups for personal and professional development. Emphasis on trust, humility, and openness [zoox.com/careers](https://zoox.com/careers)
- **Work environment**: Hybrid? The careers page lists many roles as “On‑site” in Foster City, CA, with other office locations available. In‑office perks include a famous food program with daily changing local and sustainable dishes, plus a busy calendar of events and sports teams.
- **Benefits**: Comprehensive health plans (Cigna), mental health support, wellbeing program, flexible time off, generous family planning and caregiver support, and a commitment to work‑life balance.
- **Growth opportunities**: Work on cutting‑edge autonomous vehicle technology alongside some of the brightest minds in AI, engineering, computer vision, and more. Offers internships and re‑entry programs (via Path Forward) for career returners.
- **Recruitment process**: Uses AI tools to assist in reviewing applications but final decisions are human. No fees are charged at any stage – watch for recruitment scams [zoox.com/journal/landing-a-job-zoox](https://zoox.com/journal/landing-a-job-zoox)

## Sources
1. [Zoox official website](https://zoox.com)
2. [Zoox About page](https://zoox.com/about)
3. [Zoox Careers page](https://zoox.com/careers)
4. [Zoox job openings on Lever](https://jobs.lever.co/zoox)
5. [Zoox hiring and interview process](https://zoox.com/journal/landing-a-job-zoox)

## Other roles at Zoox

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- [Senior Staff/Principal Software Engineer - GPU System Software, Onboard Execution](https://feeny.ai/job/senior-staff-principal-software-engineer-gpu-system-software-onboard-execution-ata3mv055s59) — Foster City, CA
- [Team Lead, Vehicle Operations (1st Shift)](https://feeny.ai/job/team-lead-vehicle-operations-1st-shift-zoox-phoenix-jjpzpfytq187) — Phoenix, AZ
- [Administrative Business Partner, Product](https://feeny.ai/job/administrative-business-partner-product-zoox-foster-city-06wqfb2p8gn8) — Foster City, CA
- [Senior Quality Engineer](https://feeny.ai/job/senior-quality-engineer-zoox-foster-city-f2ppyyq8ayfr) — Foster City, CA
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- [Senior/Staff Software-Hardware Integration Technical Program Manager - Autonomy](https://feeny.ai/job/senior-staff-software-hardware-integration-technical-program-manager-autonomy-7m74r0k1c4pj) — Foster City, CA
- [Senior Commercial Product Manager](https://feeny.ai/job/senior-commercial-product-manager-zoox-foster-city-1fsd210k4d45) — Foster City, CA