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Geospatial Data Science Jobs in Washington (NOW HIRING)

Leidos

Mid-Level Data Scientist

Springfield, VA

$73K - $132K/yr

... data science, including the areas of data collection processing exploitation, transformation ... Experience working with geospatial data in multiuser enterprise environment. * Minimum 2 years of ...

Leidos

Mid-Level Data Scientist

Springfield, VA · On-site

$73K - $132K/yr

... data science, including the areas of data collection processing exploitation, transformation ... Experience working with geospatial data in multiuser enterprise environment. * Minimum 2 years of ...

Bridge Core (BCore)

Geospatial Programmer

Mclean, VA · On-site

Bachelor's degree in computer science, geography, or related area of study (relevant experience may ... Data Modeling & Databases - Experience modeling geospatial data and working with relational ...

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All JobsGeospatial Data Science JobsGeospatial Data Science Jobs in Washington

Geospatial Data Science information

See Washington salary details

$24.9K

$87.8K

$138.2K

How much do geospatial data science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for geospatial data science in Washington is $87,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $90,600.00 per year, depending on experience, location, and employer.

How does a Geospatial Data Scientist typically collaborate with other departments or teams within an organization?

Geospatial Data Scientists often work closely with professionals from diverse departments such as urban planning, environmental science, IT, and business analytics. Collaboration usually involves sharing spatial insights, integrating geospatial data with other datasets, and contributing to interdisciplinary projects that require spatial analysis or mapping. Effective communication is crucial, as you'll translate complex geospatial findings into actionable recommendations for non-technical stakeholders. This cross-functional teamwork not only broadens your understanding of organizational goals but also enhances the impact and visibility of geospatial analyses.

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

AspectGeospatial Data ScienceGIS Analyst
Required CredentialsDegree in Data Science, Geography, or related; often includes programming skillsDegree in Geography, GIS, or related; GIS certifications common
Work EnvironmentData analysis, modeling, programming, often in tech or research settingsMapping, spatial data management, using GIS software in various industries
Employer & Industry UsageTech companies, research institutions, government agencies focusing on spatial data analysisUrban planning, environmental agencies, utilities, and government agencies

While both roles work with spatial data, Geospatial Data Science emphasizes data analysis, modeling, and programming skills to extract insights from geospatial data. GIS Analysts focus more on mapping, data management, and using GIS software for spatial analysis. The roles often overlap but differ mainly in technical focus and application areas.

What are the key skills and qualifications needed to thrive as a Geospatial Data Scientist, and why are they important?

To thrive as a Geospatial Data Scientist, you need a solid background in statistics, spatial analysis, and programming, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases, and coding languages like Python or R is essential, and certifications in GIS can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help translate complex spatial data into actionable insights for diverse stakeholders. These skills ensure accurate data analysis, innovative solutions, and impactful decision-making in fields reliant on geographic information.

What is geospatial data science?

Geospatial data science is an interdisciplinary field that focuses on analyzing and interpreting data that has a geographic or spatial component. It combines techniques from data science, statistics, and geographic information systems (GIS) to extract insights, identify patterns, and solve problems related to location-based data. Professionals in this field work with mapping, remote sensing, spatial analysis, and visualization tools to support decision-making in areas like urban planning, environmental monitoring, and logistics.
What are popular job titles related to Geospatial Data Science jobs in Washington? For Geospatial Data Science jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Science jobs in Washington look for? The top searched job categories for Geospatial Data Science jobs in Washington are:
Geospatial Data Science jobs near you
Infographic showing various Geospatial Data Science job openings in Washington as of June 2026, with employment types broken down into 1% As Needed, 90% Full Time, 1% Temporary, 7% Contract, and 1% Nights. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $87,770 per year, or $42.2 per hour.
Geospatial Analyst/Software Developer (TS/SCI with Poly Required)

Geospatial Analyst/Software Developer (TS/SCI with Poly Required)

GCI, Inc.

Mclean, VA • On-site

$79.03 - $131.98/hr

Full-time

Posted 16 days ago

Job description

GCI embodies excellence, integrity and professionalism. The employees supporting our customers deliver unique, high-value mission solutions while effectively leverage the technological expertise of our valued workforce to meet critical mission requirements in the areas of Data Analytics and Software Development, Engineering, Targeting and Analysis, Operations, Training, and Cyber Operations. We maximize opportunities for success by building and maintaining trusted and reliable partnerships with our customers and industry.
At GCI, we solve the hard problems. As a Geospatial Analyst/Software Developer, a typical day will include the following duties:
JOB DESCRIPTION
The Geospatial Analyst/Database developer will play a critical role in managing and analyzing geospatial data to support a mission-focused team. They will be responsible for supporting and maintaining an Oracle Spatial database, as well as leveraging ESRI GIS tools to provide insights and value to analysts. The ideal candidate is a self-motivated individual who is comfortable working independently and is proactive in identifying opportunities to provide value to stakeholders. This role offers the opportunity to directly support a high-priority mission and to make a meaningful impact on the successes of the team.
KEY RESPONSIBILITIES
  • Manage and administer an Oracle Spatial database, including tables, procedures, and views, as well as performing other database administration tasks
  • Develop and execute spatial queries to support analyst requests to drive business outcomes
  • Utilize scripting languages (e.g. Python, SQL, etc.) to parse and process files of various formats including but not limited to: CSV, JSON and XML.
  • Leverage ESRI GIS tool suite (e.g. ArchGIS, ArchMap, etc.) to analyze and visualize geospatial data
  • Collaborate with analysts to understand their geospatial data needs and develop solutions to meet those needs
  • Proactively identify opportunities to provide value to analysts based on available geospatial datasets and develop solutions to meet those needs
  • Work independently with minimal supervision, requiring strong problem-solving skills and the ability to prioritize tasks effectively
  • Apply Data Science techniques to leverage information between data collections, including but not limited to:
    • Creating data visualizations and reports to communicate insights to stakeholders
    • Developing data fusion and integration strategies to combine data from multiple sources
  • Perform other related duties as assigned

EDUCATION AND EXPERIENCE
  • Bachelor's Degree in Computer Science, Electrical or Computer Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience

REQUIRED QUALIFICATIONS
  • Experience working with Oracle spatial, including creating views, optimizing SQL queries, and some administration duties
  • Proficiency in scripting languages, such as Python, SQL or similar
  • Experience with ESRI GIS tool suite, including ArcGIS and ArchCatalog
  • Strong understanding of geospatial data concepts and spatial analysis techniques
  • Ability to work independently and prioritize tasks effectively in a fast-paced environment

DESIRED QUALIFICATIONS
  • Proactive and self-motivated individual with a strong desire to provide value to stakeholders
  • Experience supporting a primary IC customer in an operational environment
  • Strong problem-solving skills and ability to think creatively
  • Experience working with a wide variety of data formats and sources
  • Strong communication and collaboration skills, with the ability to effectively interact with analysts and other stakeholders
  • Demonstrated ability to work in a fast paced, dynamic environment and adapt to changing priorities

A candidate must be a US Citizen and requires an active/current TS/SCI with Polygraph clearance.
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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