1

Geospatial Data Scientist Jobs in Reston, VA (NOW HIRING)

Through survey research, geospatial analysis, and AI/ML, we are building scalable data ... Summary of Position Fraym is seeking a mid-to-senior level Data Scientist to amplify our team ...

Data Scientist - TS/SCI ClearedLocation: Springfield, VA Required Clearance: Top Secret/SCI ... Advanced knowledge of geospatial data management including data type conversion; coordinate systems ...

Data Scientist - TS/SCI Cleared Location: Springfield, VA Required Clearance: Top Secret/SCI ... Advanced knowledge of geospatial data management including data type conversion; coordinate systems ...

... Science, or related field; Master's degree preferred. * Experience: Minimum of 8+ years of progressively responsible experience in geospatial data management, GIS development, and geospatial service ...

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

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 (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.

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

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

Showing results 41-60

Geospatial Data Scientist information

See Reston, VA salary details

$39.1K

$127.9K

$204.8K

How much do geospatial data scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for geospatial data scientist in Reston, VA is $127,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,700.00 and $141,700.00 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 popular job titles related to Geospatial Data Scientist jobs in Reston, VA? For Geospatial Data Scientist jobs in Reston, VA, the most frequently searched job titles are:
What cities near Reston, VA are hiring for Geospatial Data Scientist jobs? Cities near Reston, VA with the most Geospatial Data Scientist job openings:
Infographic showing various Geospatial Data Scientist job openings in Reston, VA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $127,927 per year, or $61.5 per hour.

Geospatial Senior Subject Matter Expert

Electrosoft

Arlington, VA โ€ข On-site

Full-time

Posted 4 days ago


Job description

Geospatial Senior Subject Matter Expert

Responsibilities and Duties

  • Serve as the senior technical authority and trusted advisor for Geospatial Support programs, initiatives, and enterprise capabilities.
  • Provide strategic guidance and subject matter expertise on geospatial technologies, Geographic Information Systems (GIS), geospatial analytics, and location-based data services.
  • Advise program leadership, stakeholders, and technical teams on geospatial strategies, modernization efforts, and technology roadmaps.
  • Lead the assessment, planning, and implementation of geospatial solutions supporting mission and operational objectives.
  • Evaluate existing geospatial systems, applications, and business processes and recommend improvements that enhance operational efficiency and decision-making.
  • Support the integration of geospatial capabilities with enterprise applications, cloud platforms, data repositories, and analytic environments.
  • Provide expertise in geospatial data management, data governance, metadata standards, and data quality assurance practices.
  • Guide the development and implementation of geospatial architecture, technical standards, and best practices.
  • Support the design and deployment of geospatial visualization tools, dashboards, maps, and reporting capabilities.
  • Collaborate with business stakeholders, engineers, developers, data analysts, and program managers to ensure alignment between geospatial solutions and mission requirements.
  • Support enterprise modernization and digital transformation initiatives through the effective use of geospatial technologies.
  • Conduct technical reviews, architecture assessments, and solution evaluations for geospatial systems and applications.
  • Identify emerging geospatial technologies and industry trends and provide recommendations for adoption and implementation.
  • Support project planning, risk management, requirements development, and strategic decision-making activities.
  • Assist with the development of policies, procedures, governance frameworks, and operational guidance related to geospatial services.
  • Provide technical oversight for geospatial data collection, processing, analysis, visualization, and dissemination activities.
  • Develop executive briefings, white papers, technical reports, and strategic recommendations for senior leadership.
  • Mentor technical personnel and provide guidance on geospatial methodologies, tools, and best practices.
  • Support compliance with organizational, federal, and industry standards applicable to geospatial programs and data management.
  • Facilitate collaboration among federal stakeholders, technical teams, and external partners to advance geospatial capabilities and mission outcomes.

Basic Qualifications

  • Master's degree in Geographic Information Systems (GIS), Geography, Geospatial Science, Computer Science, Information Technology, Engineering, Data Science, or a related discipline.
  • Minimum of ten (10) years of experience supporting IT programs, systems, or technology initiatives, including significant experience in geospatial support environments.
  • Demonstrated expertise in geospatial technologies, GIS platforms, spatial analysis, and geospatial data management.
  • Experience supporting enterprise geospatial programs and integrating geospatial solutions with business and operational systems.
  • Knowledge of geospatial data standards, metadata management, and data governance principles.
  • Experience developing geospatial strategies, roadmaps, technical recommendations, and architecture guidance.
  • Familiarity with cloud-based geospatial services and enterprise technology environments.
  • Strong analytical, problem-solving, and strategic planning skills.
  • Experience communicating complex technical concepts to executive leadership and non-technical stakeholders.
  • Excellent written, verbal, and presentation communication skills.
  • Ability to lead cross-functional teams and influence stakeholders across multiple organizational levels.
  • U.S. Citizen and ability to get the clearance.

Preferred Qualifications

  • Experience supporting Department of Homeland Security (DHS), Cybersecurity and Infrastructure Security Agency (CISA), or other Federal Government geospatial programs.
  • Hands-on experience with Esri ArcGIS Enterprise, ArcGIS Online, ArcGIS Pro, QGIS, or equivalent GIS platforms.
  • Experience supporting geospatial analytics, location intelligence, and spatial data visualization initiatives.
  • Knowledge of Federal Geographic Data Committee (FGDC) standards and National Spatial Data Infrastructure (NSDI) frameworks.
  • Experience with cloud-based geospatial solutions in Microsoft Azure, AWS, or Google Cloud environments.
  • Familiarity with geospatial databases, spatial ETL tools, and geospatial web services.
  • Experience supporting emergency management, critical infrastructure, cybersecurity, public safety, or mission-support geospatial operations.
  • Project Management Professional (PMP), GISP (GIS Professional), Esri Technical Certification, AWS, Azure, or equivalent certifications.