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Urban Data Science Jobs (NOW HIRING)

Dudek

Urban Designer

Pasadena, CA · Hybrid

$90K - $125K/yr

Planning & Urban Design Work Environment: Hybrid Compensation: $90,000-$125,000 annually* Dudek ... scientists, engineers, and transportation specialists. Geospatial and Data Analysis * Utilize GIS ...

Dudek

Urban Designer

Pasadena, CA · On-site

$90K - $125K/yr

Planning & Urban Design Work Environment: Hybrid Compensation: $90,000-$125,000 annually* Dudek ... scientists, engineers, and transportation specialists. Geospatial and Data Analysis * Utilize GIS ...

Sand Tech Holdings Limited

Data Engineer

Baltimore, MD · On-site

$113K - $136K/yr

Architect and build a secure, scalable urban data platform integrating multi-agency and ... Partner closely with data scientists, ML engineers, and senior stakeholders to operationalize AI ...

Dudek

Urban Designer

Pasadena, CA · Hybrid

$90K - $125K/yr

Planning & Urban Design Work Environment: Hybrid Compensation: $90,000-$125,000 annually* Dudek ... scientists, engineers, and transportation specialists. Geospatial and Data Analysis * Utilize GIS ...

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How much do urban data science jobs pay per year?

As of Aug 20, 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.

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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?

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urban data science jobs near you
Infographic showing various Urban Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Assistant Professor (12MO), Data Science & Analytics (Tenure-Track)

SUNY Downstate Health Sciences University

Brooklyn, NY • On-site

$110K - $127K/yr

Full-time

Re-posted 8 days ago

Job description


The Department of Epidemiology & Biostatistics in the School of Public Health at SUNY Downstate Health Sciences University is seeking a full-time Assistant Professor (12MO), Tenure-Track. The successful candidate will:
  • Demonstrate expertise in data science, analytics, and big data computational ecosystems.
  • Operate effectively within data-intensive computing environments and possess a deep working knowledge of both Python and R for data analytics and big data interfacing.
  • Demonstrate a strong background in applied machine learning, statistical modeling, and data mining.
  • Teach both online and on-campus sections of core data science training courses, as well as developing specialized emphasis areas or advanced courses
  • that align with the School's strategic focus on population health
  • and community-engaged research.
  • Contribute to the School's commitment to training the next generation of public
  • health leaders through excellence in research, service, and interdisciplinary teaching focused on improving health equity within urban and immigrant populations.

Qualifications
Required Qualifications
  • Terminal Degree (PhD, MD, ScD).
  • Ability to operate effectively within data-intensive computing environments and ecosystems, with analytic expertise in omics data and bioinformatics, and possess a deep working knowledge of machine learning, statistical modeling, and data mining.
  • Successful attainment of extramural funding and demonstrated research expertise evidenced by a substantial publication record in high quality journals.

Apply