ZipRecruiter

Log In

1

Spatial Data Science Jobs in Washington (NOW HIRING)

Vantor

Geospatial Data Scientist

Mclean, VA · On-site

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators ... Apply geospatial data science techniques to identify patterns, trends, and mission-relevant ...

Vantor

Geospatial Data Scientist

Mclean, VA · On-site

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators ... Apply geospatial data science techniques to identify patterns, trends, and mission-relevant ...

Leidos

Data Scientist

Springfield, VA

$92K - $166K/yr

Programming (Python/Pig/Java/JS/SQL/R), spatial analysis, data mining, database structures, visualization. * Statistical/mathematical modeling. * Experience managing data science projects, data ...

Leidos

Data Scientist

Springfield, VA · On-site

$92K - $166K/yr

Programming (Python/Pig/Java/JS/SQL/R), spatial analysis, data mining, database structures, visualization. * Statistical/mathematical modeling. * Experience managing data science projects, data ...

Vantor

Data Scientist

Reston, VA · On-site

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators ... Contribute to end-to-end data science and data engineering workflows, from data preparation and ...

Maxar Technologies, Inc.

Data Scientist

Reston, VA · On-site

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators ... Contribute to end-to-end data science and data engineering workflows, from data preparation and ...

Vantor

Data Scientist

Reston, VA · On-site

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators ... Contribute to end-to-end data science and data engineering workflows, from data preparation and ...

next page

Showing results 1-20

All JobsSpatial Data Science JobsSpatial Data Science Jobs in Washington

Spatial Data Science information

See Washington salary details

$50.4K

$146.9K

$201K

How much do spatial data science jobs pay per year?

As of Jul 1, 2026, the average yearly pay for spatial data science in Washington is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 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 GIS jobs pay the most?

Senior GIS analyst, GIS manager, and geospatial data scientist roles tend to offer the highest salaries in the GIS field, often exceeding $80,000 to $100,000 annually depending on experience, location, and industry. These positions typically require advanced skills in GIS software, programming, and data analysis, with certifications like GISP enhancing earning potential.

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.

Can data scientists make $300k?

Data scientists, including those specializing in spatial data science, can earn $300,000 or more at senior levels or in high-demand industries, especially with extensive experience, advanced skills in machine learning, and proficiency in tools like Python or R. Achieving this salary often requires working in large companies, consulting roles, or locations with high living costs, and may involve additional responsibilities or leadership positions.

What does a spatial data scientist do?

A spatial data scientist analyzes geographic data to identify patterns, trends, and relationships using tools like GIS software and programming languages such as Python or R. They develop models, visualize spatial information, and support decision-making in fields like urban planning, environmental management, or logistics.

Is GIS a high demand job?

GIS (Geographic Information Systems) professionals, including those in spatial data science, are in high demand across industries such as urban planning, environmental management, and transportation. The increasing use of spatial analysis, remote sensing, and GIS tools like ArcGIS and QGIS contributes to strong job growth and opportunities for skilled workers.

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 Washington? For Spatial Data Science jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Spatial Data Science jobs in Washington look for? The top searched job categories for Spatial Data Science jobs in Washington are:
What cities in Washington are hiring for Spatial Data Science jobs? Cities in Washington with the most Spatial Data Science job openings:
Spatial Data Science jobs near you
SIGINT Geospatial Analyst (All Levels)

SIGINT Geospatial Analyst (All Levels)

Fuse Engineering LLC

Annapolis Junction, MD

Other

Posted 27 days ago

Job description

Description

 Applies geographic information science in response to intelligence needs using SIGINT data collected from foreign systems. Application of temporal and spatial thinking in interpreting SIGINT data in geographic context. Such interpretation requires skills, knowledge, and abilities drawn from multiple disciplines in order to undertake spatial data manipulation, spatial data analysis, spatial statistical analysis and spatial modeling. Have a fundamental knowledge of geospatial SIGINT data, analytical methods, and visualization, in addition to technical knowledge of target technologies. Use the various systems and tools that facilitate spatial analysis. Maintain or support maintenance of reference knowledge databases and dissemination of intelligence 

Apply