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

The role involves supporting the gathering of project requirements and implementing data-driven solutions as a Geospatial Data Scientist. Responsibilities : • Use Python scripting and AWS services ...

They are seeking an experienced Geospatial Data Scientist to support gathering project requirements and implementing data-driven solutions at a customer-site in McLean, VA. Responsibilities : • Use ...

THE ROLE The Geospatial Data Scientist is responsible for gathering project requirements from the customer and implementing data-driven solutions. They can expect to use Python, PostgreSQL, and AWS ...

THE ROLE The Geospatial Data Scientist is responsible for gathering project requirements from the customer and implementing data-driven solutions. They can expect to use Python, PostgreSQL, and AWS ...

Geospatial Data Scientist

Mclean, VA · On-site

$113K - $188K/yr

Apply geospatial data science techniques to identify patterns, trends, and mission-relevant insights * Create maps, visualizations, and analytic products for technical and non-technical audiences

THE ROLE The Geospatial Data Scientist is responsible for gathering project requirements from the customer and implementing data-driven solutions. They can expect to use Python, PostgreSQL, and AWS ...

Join our growing team supporting customer missions as a Senior Geospatial Data Scientist in Reston, VA and remote. * Identify corollary datasets to compare against model outputs, especially those ...

Join our growing team supporting customer missions as a Senior Geospatial Data Scientist in Reston, VA and remote. Responsibilities * Identify corollary datasets to compare against model outputs ...

Join our growing team supporting customer missions as a Senior Geospatial Data Scientist in Reston, VA and remote. Responsibilities * Identify corollary datasets to compare against model outputs ...

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Geospatial Data Scientist information

See Reston, VA salary details

$39K

$127.7K

$204.4K

How much do geospatial data scientist jobs pay per year?

As of Jun 14, 2026, the average yearly pay for geospatial data scientist in Reston, VA is $127,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $141,500.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

A geospatial data scientist can start or transition into the field at age 40, as data science values skills, experience, and continuous learning over age. Many professionals successfully switch careers or advance later in life by acquiring relevant skills such as programming, GIS tools, and statistical analysis. Age is generally not a barrier if you develop the necessary technical expertise and stay current with industry tools.

What are the typical daily tasks of a Geospatial Data Scientist?

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 in the Geospatial Data Scientist position, and why are they important?

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.

Is GIS still in demand?

Geospatial Data Scientists and GIS professionals are in high demand due to the increasing use of geographic information systems in sectors like urban planning, environmental management, and logistics. Skills in GIS software, spatial analysis, and data visualization are valuable, and the field is expected to grow as organizations rely more on location-based data for decision-making.

What is the highest paying GIS job?

The highest paying GIS-related roles are often senior positions such as GIS Manager, Geospatial Data Scientist, or GIS Director, with salaries exceeding $100,000 annually depending on experience, industry, and location. Specialized skills in programming, data analysis, and proficiency with tools like ArcGIS or QGIS can also contribute to higher compensation.

What is a Geospatial Data Scientist job?

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 does a geospatial data scientist do?

A geospatial data scientist analyzes spatial data to identify patterns, trends, and insights related to geographic locations. They use tools like GIS software, programming languages such as Python or R, and spatial databases to process and visualize data for decision-making in fields like urban planning, environmental management, and transportation.
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 June 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $127,692 per year, or $61.4 per hour.

Geospatial Data Scientist

Vantor

Mclean, VA • On-site

Full-time

Posted 7 days ago


Job description

Job Summary:
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. The role involves supporting the gathering of project requirements and implementing data-driven solutions as a Geospatial Data Scientist.
Responsibilities:
• Use Python scripting and AWS services to automate geospatial data ingestion, transformation, and analysis
• Apply geospatial data science techniques to identify patterns, trends, and mission-relevant insights
• Create maps, visualizations, and analytic products for technical and non-technical audiences
• Maintain high-quality, repeatable data workflows, ensuring data integrity, documentation, and performance
Qualifications:
Required:
• Bachelor’s degree with 3+ years of relevant experience, or Master’s degree with 1+ year of relevant experience
• Strong experience using Python for geospatial data transformation, automation, and analysis
• Strong experience working with geospatial data in thick-client GIS software (e.g., ArcGIS)
• Experience with PostgreSQL/PostGIS, AWS services, and Linux-based environments
• U.S. citizenship and Active TS/SCI with required polygraph
• Willingness to work on-site full time
Preferred:
• Experience working with Python notebooks (e.g., Jupyter) for exploratory and reproducible analysis
• Experience integrating and consuming data via REST APIs
• Experience with R, Tableau, or similar analytical and visualization tools
• Experience with Apache NiFi or comparable data workflow/orchestration tools
• Familiarity with Git for versioning scripts and analytic artifacts
Company:
A spatial intelligence firm. Founded in 2025, the company is headquartered in Denver, USA, with a team of 1001-5000 employees. The company is currently Late Stage.