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Urban Data Science Jobs (NOW HIRING)

$15 - $40/hr

And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented ... Data and Analytics (CA) Title: Part-Time Student - Data Science and Analytics - Austin, TX or ...

$15 - $40/hr

And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented ... Data and Analytics (CA) Title: Part-Time Student - Data Science and Analytics - Austin, TX or ...

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How much do urban data science jobs pay per year?

As of Sep 13, 2026, the average yearly pay for urban data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is an urban data science?

An Urban Data Science job involves analyzing data related to cities, infrastructure, and human behavior to improve urban planning, transportation, sustainability, and public services. Professionals in this field use machine learning, geographic information systems (GIS), and statistical modeling to interpret urban data from sources like sensors, social media, and administrative records. Their insights help city planners, policymakers, and businesses make data-driven decisions that enhance efficiency, equity, and livability in urban environments.

What do urban data scientists do?

Urban Data Scientists often tackle projects like analyzing transportation patterns, modeling the impact of new infrastructure, optimizing public services, and studying environmental factors within cities. They frequently work on interdisciplinary teams with urban planners, engineers, and local government officials to turn raw data into strategic insights for city development. A common challenge in the role involves integrating data from diverse sources and ensuring data quality for accurate analysis. Over time, professionals in this field can advance to lead data-driven urban innovation initiatives and influence policy-making on a city or regional scale.

What are the key skills and qualifications needed to thrive as an urban data scientist?

To thrive as an Urban Data Scientist, you need a strong background in statistics, data analysis, geospatial techniques, and typically a degree in data science, urban planning, or a related field. Familiarity with tools like Python, R, GIS platforms (such as ArcGIS or QGIS), and certification in data analytics or spatial analysis is highly beneficial. Analytical thinking, problem-solving, and effective communication skills enable professionals to translate complex urban data into actionable insights for multidisciplinary teams. These competencies are essential to drive data-driven decision-making that addresses real-world urban challenges and improves city planning.

More about urban data science jobs

What cities are hiring for Urban Data Science jobs?

Cities with the most Urban Data Science job openings:

What are the most commonly searched types of Urban Data Science jobs?

The most popular types of Urban Data Science jobs are:

What states have the most Urban Data Science jobs?

States with the most job openings for Urban Data Science jobs include:

What job categories do people searching Urban Data Science jobs look for?

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Infographic showing various Urban Data Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Software Engineer, Fleet Simulation (Core Data Science)

Foster City, CA

Zoox
Manufacturing • 1 - 5K employees

$185K - $285K/yr

Full-time

Medical, Life, PTO

Re-posted 21 days ago


Zoox rating

7.8

Company rating: 7.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


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:
  • Turn existing fleet-simulation components into a coherent, self-service environment that data scientists and ML engineers can run without deep software expertise.
  • Fill gaps and build the connective tissue between simulation, data, and fleet-orchestration algorithms.
  • Build generalizable mechanisms that let teams measure how their orchestration algorithms affect fleet efficiency.
  • Collaborate with data science, ML, and fleet-orchestration teams to shape and prioritize the simulation roadmap.
  • Establish best practices and processes around simulation, evaluation, and data-driven decision-making.
Qualifications
  • Software development experience in a production environment, with fluency in Python; or demonstrated experience learning new programming languages.
  • Experience building tools, services, or frameworks that make complex systems usable by non-specialist users.
  • Familiarity with any version control system, with preference for Git.
  • Experience designing metrics and building mechanisms that deliver robust, actionable insights.
  • Good communication and collaboration skills.
Bonus Qualifications
  • Basic familiarity with C++ and/or Kotlin.
  • Experience with microservices and/or distributed systems.
  • Experience with simulation and/or fleet orchestration (dispatch, routing, vehicle assignment).
Base Salary Range
 
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
 
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
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.

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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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.


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About Zoox

Sourced by ZipRecruiter

Zoox is dedicated to creating the world's first fully autonomous vehicle fleet and the necessary ecosystem to make this technology accessible. Positioned at the crossroads of robotics, machine learning, and design, Zoox strives to deliver the future of mobility-as-a-service in urban settings. We seek exceptional individuals who share our enthusiasm and are eager to join a dynamic and results-driven team.

Industry

Manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Foster City, CA, US