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Freelance Geospatial Data Scientist Jobs (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 ...

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. 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. * 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 ...

... geospatial scientific principles, tools, and analytical techniques, to be reflected throughout most of the relevant prior experience. * Demonstrated experience and proficiency with data science ...

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Freelance Geospatial Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do freelance geospatial data scientist jobs pay per year?

As of Jun 11, 2026, the average yearly pay for freelance geospatial data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Geospatial Data Scientist vs Geospatial Data Analyst?

AspectFreelance Geospatial Data ScientistGeospatial Data Analyst
CredentialsTypically requires advanced degrees (Master's or PhD) in GIS, Geography, or related fieldsOften requires a bachelor's degree in GIS, Geography, or related disciplines
Work EnvironmentIndependent, project-based, remote or on-siteEmployed by organizations, working in office or remote teams
Industry UsageUsed across various industries for complex spatial modeling and data science tasksPrimarily involved in data visualization, reporting, and basic spatial analysis

Freelance Geospatial Data Scientists focus on advanced spatial data modeling and machine learning, often working independently on complex projects. Geospatial Data Analysts typically handle data visualization and reporting within organizations. The main difference lies in the complexity of tasks and level of expertise required.

More about Freelance Geospatial Data Scientist jobs
What cities are hiring for Freelance Geospatial Data Scientist jobs? Cities with the most Freelance Geospatial Data Scientist job openings:
What are the most commonly searched types of Geospatial Data Scientist jobs? The most popular types of Geospatial Data Scientist jobs are:
What states have the most Freelance Geospatial Data Scientist jobs? States with the most job openings for Freelance Geospatial Data Scientist jobs include:
Infographic showing various Freelance Geospatial Data Scientist job openings in the United States as of June 2026, with employment types broken down into 17% Locum Tenens, 50% Full Time, and 33% Part Time. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Geospatial Data Scientist

Vantor

Mclean, VA • On-site

Full-time

Posted 4 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.