Geospatial Data Scientist Jobs
Geospatial Data Scientist jobs are open across government, defense, environmental consulting, logistics, and technology, at every level from entry-level analyst to principal scientist, with specializations in remote sensing, spatial modeling, and location intelligence. See the openings below and apply to the ones that match your experience.
Find JobsOverview
Showing 5 of 8+ Geospatial Data Scientist jobs
At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic decision support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions.
Are you ready to lean into analytic approaches that show customers the power of both technical and methodological innovation? Join our growing team supporting customer missions as a Geospatial Data Scientist & Quality Assurance Engineer in Herndon, Virginia.
- Serves as the primary test and quality lead for a cloud-based geospatial data lake and its components (ingestion pipelines, data services/APIs, search interfaces, and GIS client integrations). Works directly with government customers and the cloud development team to plan and execute testing, find and track defects through resolution, lead user acceptance testing, and ensure the product is usable, documented, and effective for mission users.
- Develop and execute test strategies, plans, cases, and traceability matrices mapped to requirements/user stories across the ingestion, transformation, storage, API, and GIS client layers of the geospatial data lake.
- Identify, reproduce, document, and triage defects with developers and government stakeholders; track to resolution, verify fixes, and report defect trends and release readiness to program leadership and customers.
- Plan, coordinate, and lead User Acceptance Testing (UAT) events with government customers, acting as the end-user advocate within the development team.
- Validate geospatial data quality (geometry validity, coordinate reference systems/projections, attribute completeness, spatial query accuracy) and test REST APIs/data services for correctness, error handling, security controls, and performance.
- Build and maintain data dictionaries, user guides, release notes, and test reports; design and deliver end-user training; and support documentation required for accreditation, audits, and release approvals.
Required Qualifications:
- Active TS/SCI clearance with CI poly required to start
- Hands-on experience planning/executing integration, end-to-end, regression, and UAT testing; writing test plans, cases, and reports from requirements or user stories.
- Proficiency with defect/test management tools (Jira, Xray, Zephyr, TestRail, or similar) and REST API testing (Postman, curl, or scripted tests).
- Working knowledge of SQL for data validation and back-end verification.
- GIS fundamentals: coordinate reference systems, projections, datums, vector/raster data models; common formats (GeoJSON, Shapefile); desktop GIS (Esri ArcGIS Pro and/or QGIS).
- Familiarity with AWS-hosted applications and services (Lambda, ECS, SQS/SNS, Aurora PostgreSQL) sufficient to isolate failures; multi-environment release pipelines and Git.
- Demonstrated ability to work directly with government/end-user customers, run test events, and communicate technical issues to non-technical audiences; strong technical writing.
- Bachelor's degree in Data Science, Information Systems, GIS, Geography, Engineering, or a related field (or equivalent experience); typically 3+ years of software testing/QA, including data-intensive or geospatial systems.
Desired Qualifications:
- Test automation (Python/pytest, Selenium, Playwright, or similar).
- PostGIS and spatial SQL.Performance/load testing (JMeter, Locust, k6).
- Experience supporting software in DoD/IC accreditation environments (RMF, ATO documentation).
- Certifications such as ISTQB (Foundation or Advanced), CSTE, AWS Cloud Practitioner, or Esri technical certification.
- DoD 8140 baseline certification (e.g., CompTIA Security+) if the role requires privileged system access.
- The expected salary range within the Washington, DC metropolitan area is: $180,000 - 225,000. Final compensation is unique to each individual and will be determined based on factors such as experience, education, geographic location, and contractual requirements. This is not a guarantee.
- Benefits include Health/Dental/Vision, 401(k), Paid Time Off, STD/LTD/Life Insurance/Voluntary Life Insurance, Stipends, Referral Bonuses, and more.
At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic decision support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions.
Are you ready to lean into analytic approaches that show customers the power of both technical and methodological innovation? Join our growing team supporting customer missions as a Geospatial Data Scientist & Quality Assurance Engineer in Herndon, Virginia.
- Serves as the primary test and quality lead for a cloud-based geospatial data lake and its components (ingestion pipelines, data services/APIs, search interfaces, and GIS client integrations). Works directly with government customers and the cloud development team to plan and execute testing, find and track defects through resolution, lead user acceptance testing, and ensure the product is usable, documented, and effective for mission users.
- Develop and execute test strategies, plans, cases, and traceability matrices mapped to requirements/user stories across the ingestion, transformation, storage, API, and GIS client layers of the geospatial data lake.
- Identify, reproduce, document, and triage defects with developers and government stakeholders; track to resolution, verify fixes, and report defect trends and release readiness to program leadership and customers.
- Plan, coordinate, and lead User Acceptance Testing (UAT) events with government customers, acting as the end-user advocate within the development team.
- Validate geospatial data quality (geometry validity, coordinate reference systems/projections, attribute completeness, spatial query accuracy) and test REST APIs/data services for correctness, error handling, security controls, and performance.
- Build and maintain data dictionaries, user guides, release notes, and test reports; design and deliver end-user training; and support documentation required for accreditation, audits, and release approvals.
Required Qualifications:
- Active TS/SCI clearance with CI poly required to start
- Hands-on experience planning/executing integration, end-to-end, regression, and UAT testing; writing test plans, cases, and reports from requirements or user stories.
- Proficiency with defect/test management tools (Jira, Xray, Zephyr, TestRail, or similar) and REST API testing (Postman, curl, or scripted tests).
- Working knowledge of SQL for data validation and back-end verification.
- GIS fundamentals: coordinate reference systems, projections, datums, vector/raster data models; common formats (GeoJSON, Shapefile); desktop GIS (Esri ArcGIS Pro and/or QGIS).
- Familiarity with AWS-hosted applications and services (Lambda, ECS, SQS/SNS, Aurora PostgreSQL) sufficient to isolate failures; multi-environment release pipelines and Git.
- Demonstrated ability to work directly with government/end-user customers, run test events, and communicate technical issues to non-technical audiences; strong technical writing.
- Bachelor's degree in Data Science, Information Systems, GIS, Geography, Engineering, or a related field (or equivalent experience); typically 3+ years of software testing/QA, including data-intensive or geospatial systems.
Desired Qualifications:
- Test automation (Python/pytest, Selenium, Playwright, or similar).
- PostGIS and spatial SQL.Performance/load testing (JMeter, Locust, k6).
- Experience supporting software in DoD/IC accreditation environments (RMF, ATO documentation).
- Certifications such as ISTQB (Foundation or Advanced), CSTE, AWS Cloud Practitioner, or Esri technical certification.
- DoD 8140 baseline certification (e.g., CompTIA Security+) if the role requires privileged system access.
- The expected salary range within the Washington, DC metropolitan area is: $180,000 - 225,000. Final compensation is unique to each individual and will be determined based on factors such as experience, education, geographic location, and contractual requirements. This is not a guarantee.
- Benefits include Health/Dental/Vision, 401(k), Paid Time Off, STD/LTD/Life Insurance/Voluntary Life Insurance, Stipends, Referral Bonuses, and more.
See All 8 Geospatial Data Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsGeospatial Data Scientist Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in geospatial data scientist jobs.
- Proficiency in Python with spatial libraries such as GeoPandas, Shapely, and GDAL
- Experience with GIS platforms including ArcGIS Pro, QGIS, or Esri Enterprise products
- Working knowledge of spatial databases such as PostGIS or SpatiaLite
- Familiarity with remote sensing data sources including satellite imagery and LiDAR
- Bachelor's or master's degree in geography, geomatics, computer science, or a related field
- Experience processing and analyzing large raster or vector datasets in cloud environments
Tips for Your Geospatial Data Scientist Job Search
Tailor your resume to spatial pipelines
Lead with the specific geospatial stack you've built in: Python with GeoPandas, GDAL, PostGIS, or cloud platforms like AWS Location Service. Hiring managers scan for tooling before reading anything else, so front-load it above your summary.
Show spatial outputs in your portfolio
Link to published maps, dashboards, or notebooks that demonstrate your spatial reasoning, not just code. A choropleth showing a real analysis decision lands harder than a GitHub repo with uncommitted files and no README.
Apply early to roles that fit
Migrate Mate lists geospatial data scientist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter by industry to target your niche
Defense and intelligence geospatial roles require security clearances that add months to hiring timelines. If you don't have an active clearance, focus your search on commercial sectors like logistics, climate tech, or urban planning, where clearance isn't a prerequisite.
Prep for the technical screen's spatial twist
Expect a live coding or take-home exercise involving coordinate reference system transformations, spatial joins, or raster analysis. Practice explaining why you chose a particular projection and what accuracy tradeoffs it creates for the use case.
Negotiate with domain-specific leverage
If you hold a GIS Professional certification or have published remote sensing research, name it explicitly when discussing your offer. Specialized credentials are uncommon enough in this field that they meaningfully shift how hiring managers frame your seniority level.
Geospatial Data Scientist Jobs: Frequently Asked Questions
Which companies are hiring the most geospatial data scientists?
B&A, Neara, and Teknoluxion are hiring the most geospatial data scientists right now, with openings concentrated in Georgia, Virginia, and Texas, based on current listings on Migrate Mate as of November 2026. Demand is especially active in defense contracting, federal agencies, and logistics technology firms.
How many geospatial data scientist jobs are remote?
About 67% of geospatial data scientist openings are fully remote or hybrid as of November 2026, with availability varying significantly by sub-specialty. Roles focused on data modeling, scripting, and dashboard development tend to be more remote-friendly, while positions involving field data collection or classified government work are almost exclusively on-site.
How do you become a geospatial data scientist?
Start by building a foundation in spatial data concepts through coursework or self-study in GIS, cartography, and coordinate systems. Develop programming skills in Python, focusing on spatial libraries like GeoPandas and GDAL. Practice with real datasets from open government sources, build a portfolio of spatial analyses, and pursue a GIS Professional certification to validate your skills to employers.
How do you get hired as a geospatial data scientist with little or no experience?
Focus on building a portfolio of independent projects using freely available satellite imagery, census boundary files, or OpenStreetMap data to demonstrate spatial reasoning. Contribute to open-source geospatial tools to show collaborative coding experience. Applying to roles with titles like GIS analyst or spatial data analyst can serve as a stepping stone before moving into scientist-level positions.
What does the geospatial data scientist interview process look like?
The process typically starts with a recruiter screen, followed by a technical phone interview covering spatial data concepts and Python proficiency. A take-home or live coding challenge involving a spatial join, raster transformation, or map output is common. Final rounds usually include a presentation of your technical work and a panel conversation with data and product stakeholders.
Where can I find and apply to geospatial data scientist jobs?
You can find and apply to geospatial data scientist jobs on Migrate Mate, which lists current openings from across the United States in one place. Search for roles that match your experience level and specialization, then apply directly to each listing that fits your background.
See All 8 Geospatial Data Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Jobs