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Spatial Data Science Jobs in New Mexico (NOW HIRING)

Dar Group

GIS Analyst

Albuquerque, NM · Hybrid

Collect, clean, organize, and validate spatial and tabular datasets. * Perform GIS analysis using ... Bachelor's degree in GIS, Geography, Geospatial Science, Environmental Science, Data Analytics, or ...

INTERA Incorporated

Water Resources Engineer

Albuquerque, NM · On-site

$72K - $98K/yr

... data scientists, and modelers to evaluate, plan, develop, and optimize water supply systems. The ... GIS and Spatial Analysis : Use GIS tools to support engineering planning, infrastructure layout ...

INTERA Careers

Water Resources Engineer

Albuquerque, NM · On-site

$72K - $98K/yr

... data scientists, and modelers to evaluate, plan, develop, and optimize water supply systems. The ... GIS and Spatial Analysis : Use GIS tools to support engineering planning, infrastructure layout ...

Intera

Water Resources Engineer

Albuquerque, NM · On-site

$72K - $98K/yr

... data scientists, and modelers to evaluate, plan, develop, and optimize water supply systems. The ... GIS and Spatial Analysis : Use GIS tools to support engineering planning, infrastructure layout ...

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All JobsSpatial Data Science JobsSpatial Data Science Jobs in New Mexico

Spatial Data Science information

See New Mexico salary details

$43.1K

$125.7K

$172K

How much do spatial data science jobs pay per year?

As of Aug 5, 2026, the average yearly pay for spatial data science in New Mexico is $125,705.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $133,200.00 per year, depending on experience, location, and employer.

What is spatial data science?

Spatial data science is a field that combines data science techniques with geographic information systems (GIS) to analyze and interpret spatial or location-based data. It involves collecting, processing, and visualizing data that has a geographic or spatial component, such as maps, satellite images, or GPS coordinates. Spatial data scientists use methods from statistics, machine learning, and computer science to solve problems related to urban planning, environmental monitoring, transportation, and more. The insights gained from spatial data science help organizations make better decisions based on the relationships and patterns found in geographic data.

What are the key skills and qualifications needed to thrive as a spatial data scientist, and why are they important?

To thrive as a Spatial Data Scientist, you need a strong background in statistics, geospatial analysis, and programming (often with Python or R), typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases (like PostGIS), and relevant certifications (e.g., Esri Technical Certification) is commonly required. Strong analytical thinking, problem-solving abilities, and effective communication are vital soft skills to interpret spatial data and convey insights to stakeholders. These competencies are crucial for extracting actionable insights from complex geospatial datasets and supporting informed decision-making.

What is the difference between Spatial Data Science vs Geospatial Analyst?

AspectSpatial Data ScienceGeospatial Analyst
Required CredentialsDegree in GIS, Geography, Data Science, or related fields; often includes certifications in GIS or data analysisDegree in Geography, GIS, or related fields; certifications in GIS software are common
Work EnvironmentData analysis, modeling, and programming; often in tech or research settingsMapping, data visualization, and GIS software use; typically in government, environmental, or urban planning agencies
Employer & Industry UsageTech companies, research institutions, urban planning, environmental agenciesGovernment agencies, environmental consultancies, urban planning firms

Spatial Data Science focuses on analyzing spatial data using advanced data science techniques, programming, and modeling. In contrast, Geospatial Analysts primarily work with GIS software to create maps and visualize spatial data. While both roles require GIS knowledge, Spatial Data Scientists often have stronger programming and statistical skills, working on complex data analysis projects, whereas Geospatial Analysts focus more on mapping and data visualization tasks.

What are some typical challenges spatial data scientists face when integrating geospatial data from multiple sources?

Spatial data scientists often encounter challenges like inconsistencies in data formats, varying coordinate reference systems, and differences in spatial resolution when integrating geospatial data from multiple sources. Addressing these requires familiarity with data transformation tools and a strong understanding of spatial data standards. Additionally, ensuring data quality and managing large datasets can be complex, so attention to detail and effective use of GIS software are crucial for successful integration.
What are popular job titles related to Spatial Data Science jobs in New Mexico? For Spatial Data Science jobs in New Mexico, the most frequently searched job titles are:
What job categories do people searching Spatial Data Science jobs in New Mexico look for? The top searched job categories for Spatial Data Science jobs in New Mexico are:
Spatial Data Science jobs near you
Infographic showing various Spatial Data Science job openings in New Mexico as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $125,705 per year, or $60.4 per hour.

Research Scientist 1

University of New Mexico

Albuquerque, NM

Other

Re-posted 26 days ago

University Of New Mexico rating

8.4

Company rating: 8.4 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

95th of 614 rated colleges and universities

Job description

Position Summary

The University of New Mexico's Center for Geospatial and Population Studies (UNM-GPS) serves as the New Mexico State Demographer's Office and state liaison to the U.S. Census Bureau and maintains New Mexico's traffic crash database for the New Mexico Department of Transportation. Our team provides the accurate, impartial data and objective analysis that lawmakers, government agencies, and the public rely on to make informed, data-driven decisions. UNM-GPS is seeking a Research Scientist 1 to gather, integrate, analyze, describe and visualize data related to New Mexico's changing population and vehicular crash data.

Duties for the Research Scientist 1 will include, but are not limited to:

  • Data Integration and Management: Compile, clean, and standardize disparate datasets from the U.S. Census Bureau and state agencies. Review data for completeness and prepare it for spatial and statistical analysis.
  • Geospatial Analysis: Geocode housing unit and vehicular crash data across New Mexico's diverse geography, ensuring high spatial accuracy.
  • Data Visualization and Reporting: Help build and maintain public-facing dashboards. Fulfill data and mapping requests from state partners, researchers, and the general public.
  • Documentation and Communication: Create clear documentation, workflows, and process diagrams for internal procedures. Present research findings and data trends to teammates and partnering agency stakeholders.
  • Demographic Research Assistance: Help collect, organize, and track specialized datasets, including group quarters population data (such as housing, correctional facilities, and student dormitories).

Cover Letter Requirement

          A customized cover letter is required for this position. Applications submitted without a cover letter will not be considered for the position. Your letter should highlight how your previous professional or educational experiences relate to specific items listed within the preferred qualifications section. We are interested in learning about your unique perspective, your problem-solving approach, and your genuine interest in UNM-GPS's mission.

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