Data Scientist, Maps Data

Number of employees

4100

Foster City, CA, USA

Posted on: 2025-12-19

Category: emobility

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Employment type:

Full time

Experience required:

Intermediate

Salary

Salary not provided

About the company:

Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.


The Data team turns autonomous vehicle and operational data into insights that measure autonomy and service readiness at Zoox. In this role, you’ll partner with AI, simulation, and mission assurance teams to drive improvements, guide development, and identify high-impact opportunities toward autonomy.

You’ll help define how geospatial data and metrics are used across the company, enabling Zoox to scale in a data-driven way while working with one of the industry’s most unique autonomous vehicle datasets.

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 [email protected] 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.

In this role, you will:

  • Build data pipelines of geospatial features
  • Integrate internal and external geospatial data to enhance our datasets
  • Collaborate with multiple teams to prioritize roadmap on map features
  • Identify key areas of investments for our geospatial datasets and features
  • Qualifications

  • Bachelor's, Master's or PhD in CS, statistics, mathematics or relevant fields
  • Experience with map data and geospatial data analysisFluency in Python or Scala
  • Familiarity with SQL
  • Experience with Spark or large-scale data analysis
  • Experience designing metrics, building mechanisms to fuel business insights, and driving decision-making at various levels in an organization
  • Bonus Qualifications

  • Experience with Geospatial Information System (GIS), knowledge of earth systems and geospatial sciences
  • Basic fluency in C++
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