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Spatial Data Science Jobs in Washington (NOW HIRING)

You will leverage data science, machine learning, and statistical techniques to analyze, model, and ... for large, spatial, and multi-INT datasets. * Create and operate in distributed analytic ...

Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic ... Expert level understanding of spatial data storage formats such as ESRI GeoDatabases, shapefiles ...

You will leverage data science, machine learning, and statistical techniques to analyze, model, and ... for large, spatial, and multi-INT datasets. * Create and operate in distributed analytic ...

Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic ... Expert level understanding of spatial data storage formats such as ESRI GeoDatabases, shapefiles ...

Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic ... Expert level understanding of spatial data storage formats such as ESRI GeoDatabases, shapefiles ...

Sr. GIS Solution Engineer- Health & Sciences

Vienna, VA · On-site

$55.50 - $71.50/hr

Be a technical leader of Esri technology as well as a subject matter expert of spatial data science. Demonstrate your advanced understanding of sales strategies and initiatives to develop complex ...

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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:
Geospatial Data Scientist with Security Clearance

Geospatial Data Scientist with Security Clearance

MITRE Corporation

Fairfax, VA • On-site

Other

Posted 3 days ago


Job description

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. Department Summary: MITRE's Model-Based Analytics Department (L144) is looking for qualified applicants to bring their geospatial, machine learning, advanced analytics, and applied research skills to bear on solving problems of critical national importance. MITRE's diverse work program provides opportunities to apply your expertise and creative thinking in challenging domains such as healthcare, transportation, and national security. Employees may also participate in MITRE's internal research and development program, which provides funding for innovative applied research that addresses our sponsors' hardest problems. Our department is an interdisciplinary department that thrives on having a large toolbox to support data- and model-driven decision making. We value people who can bring diverse and inclusive perspectives. Our department works to solve modeling and analytic problems in the public interest, in partnership with the government. We also actively conduct independent research in areas of interest to our government partners. If you are passionate about being a Data Scientist that specializes in Geospatial Information Sciences, your skill sets align with our capabilities, and you like working in a collaborative, team-oriented environment, we want to hear from you! Roles & Responsibilities: The successful candidate for this position is a geospatial data scientist who combines a solid theoretical and technical background with the ability to formulate problems, develop and evaluate solutions, and communicate results. Familiarity with advanced geospatial data science, modeling, and analysis techniques and methods (e.g., supervised and unsupervised machine learning, GeoAI, Geosimulation, patiotemporal graphs) is a plus. Hands-on software development skills are a must. Candidates should have a strong understanding of how to engineer spatial solutions for geospatial systems and architecture in both traditional and cloud computing environments. Lifelong learning and keeping up with the latest research and technologies is an essential part of working in this field. Roles and responsibilities include: * Support the development of geospatial data science, modeling, analysis, visualization, and engineering deliverables for sponsor projects and programs, internal research and development, and corporate strategic initiatives.
* Remain current on open-source, industry, academia, and US Government techniques and tools for geospatial data science, modeling, analysis, visualization, and engineering.
* Apply a variety of spatial data science techniques to tackle customer challenges to include geospatial statistics, spatial optimization, spatial pattern analysis, geospatial artificial intelligence, spatial autocorrelation, activity-based intelligence, imagery analysis, remote sensing, and geospatial data visualization approaches.
* Build and test geospatial prototypes in MITRE, government, and commercial cloud environments. Basic Qualifications: * Bachelor's degree in Geospatial Data Science, Geospatial Intelligence, Geographic Information Systems, GeoInformatics, Computer Science, Mathematics, or related degree.
* Minimum of 5 years of experience with a bachelor's degree or 3 years of experience with a master's degree, or a PhD with relevant hands-on experience using Geospatial data science techniques.
* Top Secret clearance
* Applied experience with common GIS tools, developing geospatial workflows, and visualizations using Python.
* Applied experience in spatial analysis and modeling, and ETL of spatiotemporal datasets and managing spatial databases.
* Applied experience in the configuration of web-mapping, dashboard applications, and remotely sensed data.
* Familiarity with geostatistics, spatial machine learning, geosimulation, or GeoAI, and multispectral and hyperspectral imagery or synthetic aperture radar.
* Familiarity working with spatiotemporal data in graph databases, such as ArcGIS Knowledge, Neo4j, or ArangoDB.
* Familiarity developing web applications with common libraries, e.g. OpenLayers, Leaflet, ArcGIS JS API.
* Familiarity with geospatial data architectures and spatial database design and management, as well as containerization concepts.
* This position requires a minimum of 50% hybrid on-site.
* Per the U.S. Government's eligibility requirements, you must be a U.S Citizen to be considered for a security clearance. Preferred Qualifications: * Active TS/SCI with polygraph.
* Advanced degree in Geospatial Data Science, Geospatial Intelligence, Geographic Information Systems, GeoInformatics, Computer Science, Mathematics, or related technical discipline.
* Minimum of 8 years of experience with a bachelor's degree or 5 years of experience with a master's degree, or 3 years of hands-on relevant experience using Geospatial data science techniques with a PhD.
* Experience leading technical development tasks across multi-disciplinary teams. * Applied experience with other software development languages, e.g., C++, Java, C#, JavaScript.
* Applied experience with spatiotemporal big data technologies, e.g., GeoMesa, GeoTrellis, Data Bricks, or GeoSpark (Apache Sedona).
* Applied experience with data architecture containerization concepts, e.g. Docker or Kubernetes.
* Applied experience working with remotely sensed data to include aerial and satellite imagery, multi- and hyper-spectral imagery, LiDAR, or synthetic aperture radar.
* Applied experience with applying spatial modeling and analysis techniques to the atmospheric, climate, marine, oceanic, hydrologic, geomorphologic, critical infrastructure, transportation, network, telemetry, or terrain domains.
* Experience leading or conducting research.
* Experience designing geospatial data science tasking and/or leading a team of geospatial data scientists.
* Applied experience with developing web applications with common libraries, e.g. OpenLayers, Leaflet, ArcGIS JS API. * Familiarity implementing DevSecOps, DataOps, or MLOps in application development. This requisition requires the candidate to have a minimum of the following clearance(s):
Top Secret This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Top Secret Salary compensation range and midpoint:
$124,400 - $155,500 - $186,600 Annual Work Location Type:
Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email for general support and for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here . Copyright © 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

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About MITRE

Sourced by ZipRecruiter

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE-and make a difference with us. MITRE is a trusted operator of federally funded research and development centers and we're on a mission to make the world a safer place-for all of humanity, today and in the future. To deliver on our mission, we need the world's best talent and leaders-groundbreakers and partnership-builders on a global scale in areas like healthcare, artificial intelligence, critical infrastructure resiliency, pandemic management, and cybersecurity. In return, we have the privilege of backing you with thousands of technical experts in diverse fields, a culture of innovation and knowledge sharing, access to data and resources uniquely available to MITRE through our wide-ranging partnerships across government, industry and academia.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1958

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