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Geospatial Data Scientist Jobs in Virginia (NOW HIRING)

Data Scientist

Alexandria, VA

  • Medical

  • Life

  • Retirement

  • PTO

Experience with geospatial data analysis * Experience with Databricks for data science workflows, including building and scaling analytical pipelines, collaborating in notebooks, and integrating with ...

Data Scientist

Alexandria, VA · On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

Experience with geospatial data analysis * Experience with Databricks for data science workflows, including building and scaling analytical pipelines, collaborating in notebooks, and integrating with ...

Data Scientist

Burke, VA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Scientist (Senior) / Python Developer Location: Springfield, VA Remote Work: No Required ... Geospatial Expertise (ESRI): Our technical stack is built exclusively on the ESRI suite of tools.

Data Scientist

Alexandria, VA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Experience with geospatial data analysis * Experience with Databricks for data science workflows, including building and scaling analytical pipelines, collaborating in notebooks, and integrating with ...

Data Scientist

Alexandria, VA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Experience with geospatial data analysis * Experience with Databricks for data science workflows, including building and scaling analytical pipelines, collaborating in notebooks, and integrating with ...

Data Architect

Arlington, VA · On-site +1

$73.25 - $94.25/hr

Master's degree in Computer Science, Information Systems, Data Science, Geospatial Science, Geographic Information Systems (GIS), Information Technology, Engineering, or a related discipline.

Showing results 41-60

Geospatial Data Scientist information

See Virginia salary details

$37.2K

$121.7K

$194.8K

How much do geospatial data scientist jobs pay per year?

As of Aug 12, 2026, the average yearly pay for geospatial data scientist in Virginia is $121,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $134,800.00 per year, depending on experience, location, and employer.

How much does a geospatial data scientist make?

A geospatial data scientist's salary typically ranges from $70,000 to $130,000 annually, depending on experience, education, location, and industry. Senior roles or those with specialized skills in GIS tools and programming may earn higher compensation.

What does a geospatial data scientist do?

As a Geospatial Data Scientist, your daily tasks often involve collecting, cleaning, and analyzing spatial datasets using GIS tools and programming languages. You may be responsible for developing spatial models, visualizing geographic data through interactive maps, and generating reports to help guide strategic decisions. Collaboration with professionals from engineering, urban planning, or environmental science teams is common, requiring you to communicate complex analyses in a clear and actionable manner. Additionally, you might participate in project meetings to align your work with organizational goals and stakeholder needs. This dynamic role blends technical analysis with communication and teamwork, making each day varied and intellectually stimulating.

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

Geospatial Data Scientists require expertise in spatial analysis, statistics, and data modeling, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), programming languages like Python or R, and familiarity with spatial databases are often expected, while certifications in GIS can be advantageous. Strong problem-solving abilities, collaboration, and effective communication skills help professionals translate complex data into actionable insights and work well with diverse teams. Mastery of these skills ensures accurate geospatial analyses and supports informed, data-driven decision making in various industries.

What is a geospatial data scientist?

A Geospatial Data Scientist analyzes spatial and geographic data to extract insights, create predictive models, and support decision-making. They use tools like GIS, remote sensing, machine learning, and statistical analysis to process location-based data. Their work spans various industries, including urban planning, environmental monitoring, agriculture, and logistics. By leveraging spatial data, they help optimize operations, manage resources, and solve complex geographic problems.

What are the most commonly searched types of Geospatial Data Scientist jobs in Virginia? The most popular types of Geospatial Data Scientist jobs in Virginia are:
What are popular job titles related to Geospatial Data Scientist jobs in Virginia? For Geospatial Data Scientist jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Scientist jobs in Virginia look for? The top searched job categories for Geospatial Data Scientist jobs in Virginia are:
What cities in Virginia are hiring for Geospatial Data Scientist jobs? Cities in Virginia with the most Geospatial Data Scientist job openings:
Infographic showing various Geospatial Data Scientist job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $121,686 per year, or $58.5 per hour.

Data Scientist (Senior) ML/Russian - TS/SCI with Security Clearance

Wiser Imagery Services, LLC

Springfield, VA • On-site

Other

Posted 12 days ago


Job description

Data Scientist - TS/SCI Cleared Location: Springfield, VA Required Clearance: Top Secret/SCI Security Clearance Wiser offers innovative solutions to clients in the public, private, and government sectors. We combine technology and expertise to develop inventive solutions that deliver quality results and aid in critical decision making. With the flexibility and efficiency of a small business, we provide nimble responsiveness with the low risk and strong performance experience of an established GEOINT and Geospatial service provider.  We are seeking a Senior Data Scientist with strong machine learning development and coding expertise to support a customer mission in Springfield, VA. Russian language proficiency is a strong plus, but not a requirement.  An active TS/SCI clearance with willingness to obtain a Polygraph is required to be considered.  This position is focused on advanced data science and machine learning development within a GEOINT mission space. The ideal candidate brings strong coding, model development, and analytic problem-solving skills, with the ability to integrate geospatial and multi-source data to deliver mission impact. Russian language and geospatial linguistic experience are considered a plus, but not required. The selected candidate will exploit, analyze, and produce imagery-derived intelligence products while integrating foreign geographic names data, native-language sources, and geospatial metadata to enhance analytic accuracy and mission impact. Minimum Qualifications * U.S. Citizen
* Active Top-Secret/SCI security clearance at time of application and willingness to complete a CI poly upon request.
* Bachelor's degree and 12+ years of relevant experience, or Master's degree and 10+ years of relevant experience in Data Science, Computer Science, Analytics, or related field. Additional experience may be considered in lieu of degree.
* Demonstrated senior-level experience designing, training, and deploying machine learning models.
* Strong coding skills in Python (or similar), with experience building scalable and maintainable solutions.
* Demonstrated experience applying data science methodologies (machine learning, statistical analysis, data engineering) to real-world problems.
* Experience structuring and processing large, complex, and unstructured datasets.
* Experience processing unstructured data and documents (e.g., text, reports, open-source content).
* Experience developing or supporting NLP capabilities, including querying across aggregated data sources.
* Strong understanding of data pipelines, feature engineering, and model evaluation techniques.
* Experience working with geospatial data and integrating spatial context into analytic workflows.
* Strong research, critical thinking, and analytic writing skills.
* Familiarity with working in high-side (classified) environments.
* Experience operating effectively in fast-paced, mission-driven environments both independently and as part of a team.
* Familiarity with working in high-side (classified) environments. Desired Qualifications * Russian language proficiency (ILR 2+ or higher).
* Experience working with geospatial linguistics, toponymy, or foreign geographic data.
* Regional expertise in Russian Federation and/or Russian-influenced geographies.
* Experience developing machine learning models or AI-enabled analytics within national security or GEOINT environments.
* Proficiency in Python for advanced analytics, automation, or data engineering workflows.
* Experience developing ontologies, schemas, or knowledge graphs.
* Experience integrating multi-INT or multi-source data into advanced analytic workflows.
* Prior experience briefing senior government stakeholders.
Responsibilities * Design, develop, train, and deploy machine learning models to solve complex mission problems.
* Write production-quality code in Python (or similar) to support model development, testing, and deployment.
* Structure disparate and unstructured data (imagery, text, geospatial features) into usable formats for quantitative analysis and fusion.
* Develop and maintain scalable data pipelines to support automated analytic workflows.
* Build and apply statistical models, machine learning algorithms, and data processing techniques for pattern detection and predictive analysis.
* Generate automated workflows to improve efficiency, reproducibility, and scalability of analytic production.
* Aggregate existing data stores and enable natural language processing (NLP) query capabilities using existing APIs.
* Process and analyze large volumes of unstructured data and documents to extract mission-relevant insights.
* Integrate geospatial and multi-source data into advanced analytic workflows.
* Translate complex quantitative findings into clear, actionable insights through visualization and storytelling.
* Collaborate with cross-functional teams to deliver scalable, mission-focused data science solutions.
* Brief findings clearly and confidently to technical and non-technical audiences. Work Environment Work is within a team environment and will be conducted on site in Springfield, VA. *Candidates are encouraged to submit a resume that explicitly addresses each of the requirements listed above. Wiser Imagery Services employs personnel within the states of Alabama, Florida, Georgia, Illinois, Indiana, Maryland, Missouri, North Carolina, North Dakota, Ohio, Pennsylvania, Tennessee, Texas, Virginia, and West Virginia. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans To comply with Federal law, Wiser Imagery Services participates in E-Verify. Successful candidates must pass the E-Verify process upon hire. Wiser Imagery Services is a drug-free workplace. We respectfully request not to be contacted by recruiters and/or staffing agencies.