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Geospatial Data Science Jobs in Washington (NOW HIRING)

Prior work supporting NGA, NRO, or other IC programs, particularly in an analytical or data science capacity. * Experience with geospatial Python libraries such as GeoPandas, Shapely, Rasterio, or ...

Prior work supporting NGA, NRO, or other IC programs, particularly in an analytical or data science capacity. * Experience with geospatial Python libraries such as GeoPandas, Shapely, Rasterio, or ...

Prior work supporting NGA, NRO, or other IC programs, particularly in an analytical or data science capacity. * Experience with geospatial Python libraries such as GeoPandas, Shapely, Rasterio, or ...

Collect, analyze, validate, and manage geospatial data using GIS, remote sensing, and GPS tools ... Bachelor's degree in geography, GIS, geospatial engineering, computer science, or related field ...

The ideal candidate brings strong multi-INT analytical skills and a passion for applying advanced geospatial tradecraft and data science principles to solve complex military and intelligence ...

Collect, analyze, validate, and manage geospatial data using GIS, remote sensing, and GPS tools ... Bachelor's degree in geography, GIS, geospatial engineering, computer science, or related field ...

A minimum of 5 years of experience in data science with a focus on geospatial data analysis. * Conducts statistical modeling and experimental design, tests, and validates predictive models.

Showing results 41-60

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 Sep 12, 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.

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 the key skills and qualifications needed to thrive as a geospatial data scientist?

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.

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 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:

Infographic showing various Geospatial Data Science job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $87,770 per year, or $42.2 per hour.

Data Scientist, Senior

Chantilly, VA • On-site

Socket.dev
Network Security • 1 - 10 employees

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago


Key responsibilities

  • Develop and apply machine learning, statistical, and data mining techniques to extract metrics and insights from large-scale geospatial and imagery datasets.

  • Design and implement automated analytical workflows that support IV&V evaluation of GEOINT data products across multiple source types and collection geometries.

  • Build and optimize data pipelines for ingesting, transforming, and processing multi-source geospatial data at scale.


Job description

What Impact You\'ll Have

GRVTY is hiring a Senior Data Scientist to support an IC program developing an enterprise-scale analytics and data management framework for geospatial intelligence products. The program is in active development — this is not a maintenance role. You will be contributing to a system being built from the ground up, with real influence over how the components are designed and implemented.

The core of the work is applying machine learning, statistical analysis, and data mining techniques to large-scale geospatial and imagery datasets in order to generate automated IV&V metrics and analytical insights. You will work closely with software developers, systems architects, and government stakeholders to design the analytical workflows, build the pipelines that execute them, and ensure the outputs are technically sound and mission-relevant. This role requires someone who is equally comfortable writing production-quality code and explaining analytical methodology to a non-technical government customer.

What You\'ll be Owning
  • Develop and apply machine learning, statistical, and data mining techniques to extract metrics and insights from large-scale geospatial and imagery datasets.
  • Design and implement automated analytical workflows that support IV&V evaluation of GEOINT data products across multiple source types and collection geometries.
  • Build and optimize data pipelines for ingesting, transforming, and processing multi-source geospatial data at scale.
  • Work with software engineers and the solutions architect to integrate analytical components into the broader system architecture — your models need to run in production, not just notebooks.
  • Evaluate analytical output quality, identify failure modes, and iterate on methodology to improve metric accuracy and reliability.
  • Collaborate directly with government stakeholders to understand mission requirements, validate that analytical outputs are operationally meaningful, and communicate findings clearly.
  • Document analytical methodologies, model assumptions, validation approaches, and limitations to a standard that supports program continuity and government review.
  • Contribute to trade studies and capability assessments as the program expands into new data types and evaluation scenarios across option years.
What You Must Have
  • Active Top Secret clearance with ability to obtain SCI and CI Polygraph.
  • Bachelor\'s degree in Data Science, Computer Science, Mathematics, Statistics, or a closely related quantitative field. Equivalent experience will be considered.
  • 9+ years of professional experience in data science, machine learning, or applied analytics, with a track record of delivering production-quality work on real programs.
  • Strong Python programming skills, including experience with scientific computing libraries such as NumPy, pandas, scikit-learn, and SciPy.
  • Experience building and deploying end-to-end analytical pipelines — not just exploratory analysis, but workflows that run reliably in operational or near-operational environments.
  • Experience working with large, complex, or multi-source datasets, including data quality assessment and remediation.
  • Ability to communicate analytical methods and results clearly to both technical teammates and non-technical government customers.
  • Comfortable working in a structured program environment with formal deliverables, government oversight, and documentation requirements.
What Would be Nice to Have
  • Experience with geospatial data, imagery products, or remote sensing datasets — familiarity with the data types matters here.
  • Prior work supporting NGA, NRO, or other IC programs, particularly in an analytical or data science capacity.
  • Experience with geospatial Python libraries such as GeoPandas, Shapely, Rasterio, or GDAL.
  • Familiarity with NGA data systems, GEOINT product formats, or IC data standards.
  • Experience deploying analytical workloads in classified or air-gapped IC environments.
  • Background in automated quality assessment, data validation, or IV&V methodologies.
  • Experience with graph-based or network analytics methods applied to complex, multi-source datasets.
  • Familiarity with ML/Ops practices — reproducible training pipelines, model versioning, experiment tracking.
  • Advanced degree in a quantitative field.
Pay Range

Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.We’re proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth.Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.

Virginia Pay Range

$190,000 — $240,000 USD

Why Choose GRVTY

The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We\'re purpose-built to tackle the most entrenched, systemic national security issues around the world.

We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives.

At GRVTY, we believe that when our employees thrive, our company thrives. That\u2019s why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance.

• Robust health plan including medical, dental, and vision

• Health Savings Account with company contribution

• Annual Paid Time Off and Paid Holidays

• Paid Parental Leave

• 401k with generous company match

• Training and Development Opportunities

• Award Programs

• Variety of Company Sponsored Events

EEO Statement

GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability.

Anyone requiring reasonable accommodations should emailrecruiting@grvty.comor call 703-544-7930 with requested details. A member of the HR team will respond to your request within 2 business days.

Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov)

Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

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