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Spatial Data Science Jobs in Washington (NOW HIRING)

Prescient Edge

Senior Data Scientist

Herndon, VA · On-site

Write either R or Python scripts to drive data science work: flows, have experience using SQL, and ... Possess prior experience with large data. spatial data, Multi-INT analytics, ML, and automated ...

GeoYeti

Senior Geospatial Data Scientist

Reston, VA

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 ...

GeoYeti

Senior Geospatial Data Scientist

Reston, VA

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 ...

GeoYeti

Senior Geospatial Data Scientist

Reston, VA · On-site

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 ...

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Spatial Data Science information

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$50.4K

$146.9K

$201K

How much do spatial data science jobs pay per year?

As of May 28, 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 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 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 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 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 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
Infographic showing various Spatial Data Science job openings in Washington as of May 2026, with employment types broken down into 25% Full Time, 9% Part Time, 7% Temporary, and 59% Contract. Highlights an 97% Physical, and 3% Hybrid job distribution, with an average salary of $146,916 per year, or $70.6 per hour.
Senior Data Scientist

Senior Data Scientist

Prescient Edge

Herndon, VA • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 19 days ago

Job description

Job Title
Senior Data Scientist
Location
Reston, VA 20170 US (Primary)
Category
Intelligence
Job Type
Full-Time
Career Level
Staff
Education
Master's Degree
Travel
Security Clearance Required
TS/SCI with CI Polygraph
Job Description
Prescient Edge is seeking a Senior Data Scientist to support a Federal government client. As a Senior Data Scientist, you will:
  • Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
  • Proactively retrieve information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes.
  • Typically include creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems.
  • Perform statistical analysis, applies data mining techniques, and builds high quality prediction systems.
  • Be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau: major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
  • Have had prior experience with large data MultiINT analytics, ML, and automated predictive analytics.
  • Provide incremental enhancements to tools, capabilities, processes, and methods.
  • Possess in-depth knowledge and experience in using data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
  • Write either R or Python scripts to drive data science work: flows, have experience using SQL, and managing and merging of disparate data sources, preferably through R, Python or SQL; statistical analysis; and data mining algorithms.
  • Possess prior experience with large data. spatial data, Multi-INT analytics, ML, and automated predictive analytics.
  • Work with ambiguous information, deconstruct key questions, leverage spatial data, exploit application programming interfaces, suggest methodologies, develop data schemas to structure observations.
  • Required to have working knowledge of coding and scripting, information science, mathematics, machine learning, visual analytic modeling tools, and relevant Standard Operating Procedures (SOPs) to create repeatable, widely applicable procedures to support all-source intelligence analysis and production.
  • Create and work in distributed analytic environments, scaling algorithms to work on increasingly large and complex datasets that are larger than RAM.
  • Serve as the primary POC for data science expertise, ensuring tradecraft compliance and analytic standards as it relates to data science techniques on the contract.
  • Provide advice on emerging data science methods, tools, algorithms, training, or requirements to advance DRI-7's analytic edge in its use of data science.
  • Work with DRI-7 vendors and the software developers to implement distributed algorithms to work on increasingly large and complex data sets.
  • Possess a professional or graduate certificate in data science from a university, major online learning platform (all business for Data Scientists at any experience level).

Benefits:
At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best in class benefits package that includes:
  • A competitive salary with performance bonus opportunities.
  • Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage.
  • A substantial retirement plan with no vesting schedule.
  • Career development opportunities, including on-the-job training, tuition reimbursement, and networking.
  • A positive work environment where employees are respected, supported, and engaged.

Job Requirements
Security Clearance
  • Active TS/SCI with a CI Poly ot the ability to obtain a CI Poly.

Desired Experience
  • Desired Experience: Minimum 12 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years.

Desired Education
  • Desired Education: Master's degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education; or have bachelor's degree related to the category from a college or university accredited by an agency recognized by the U.S. Department of Education and an additional 5 years of related senior experience, for a total of 17 years, as a substitute to the Master's degree.

Location
  • Reston, VA.

Prescient Edge is a Veteran-Owned Small Business (VOSB) founded as a counterintelligence (CI) and Human Intelligence (HUMINT) company in 2008. We are a global operations and solutions integrator delivering full-spectrum intelligence analysis support, training, security, and RD&E support solutions to the Department of Defense and throughout the intelligence community. Prescient Edge is an Equal Opportunity Employer (EEO). All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic that is protected by law. We strive to foster equity and inclusion throughout our organization because we believe that diversity of thought is critical for creating a safe and engaging work environment while also enabling the organization's success.
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About Prescient Edge

Sourced by ZipRecruiter

Prescient Edge is a prominent name in the global security industry, based out of McLean, VA, US. Established with the primary mission of harnessing science and technology for safety and security purposes, the company specializes in providing a wide range of products and services. This includes research and development, consulting, global operations support, intelligence evaluation, and advanced data solutions. These offerings make Prescient Edge an integral factor in national defense and commercial innovations.

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

McLean, VA, US

Year founded

2008

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