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Freelance Geospatial Data Scientist Jobs (NOW HIRING)

Data Scientist Prin

Augusta, GA · On-site

$107K - $182K/yr

The Geospatial Data Scientist will be expected to lead efforts such as, but not limited to: * design, implementation, and operate data driven approaches to client's intelligence requirements ...

Process and analyze large-scale geospatial datasets * Create data visualization and reporting ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ...

Process and analyze large-scale geospatial datasets * Create data visualization and reporting ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ...

Process and analyze large-scale geospatial datasets * Create data visualization and reporting ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ...

Senior Geospatial Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

... Science, Data Science, Engineering, or a related technical discipline. • 12+ years of ... geospatial technology, software development, data engineering, data analysis, or a related ...

The Senior Data Scientist - Geospatial serves as a technical leader responsible for designing and delivering advanced analytical and modeling solutions using geospatial data. This role leads complex ...

Collaborate with geospatial data analysts to understand and automate workflows and improve human ... Support scientific research projects and develop geospatial algorithms while collaborating among ...

Showing results 21-40

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 Aug 23, 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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Sr. Data Scientist

Delan Associates, Inc.

Juno Beach, FL • On-site

Contractor

Posted 12 days ago


Job description


The Senior Data Scientist - Geospatial serves as a technical leader responsible for designing and delivering advanced analytical and modeling solutions using geospatial data. This role leads complex spatial analytics efforts, mentors less-experienced data scientists, and collaborates with GIS teams and business leaders to translate geospatial data into actionable insights. The position requires deep expertise in data science techniques and hands-on experience with spatial analytics at scale
Responsibilities:
  • This position leads the design and development of scalable GIS tools, analytical applications, spatial data products, and reusable geoprocessing capabilities that support complex business and operational needs.
  • Responsibilities include establishing technical standards and development frameworks; guiding the architecture of enterprise geospatial solutions; developing and overseeing spatial data pipelines, APIs, and automation workflows; and integrating GIS capabilities with cloud platforms, enterprise data systems, and AI services.
  • Candidates should hold an advanced degree, with at least 6-8 years of experience in data science and a preference for data science in GIS during the last 4 years.
  • Extensive experience developing production-grade analytical tools and applications, and a strong track record of delivering enterprise-level business impact.
  • Preferred qualifications include significant experience developing GIS tools and applications using Esri technologies such as ArcGIS Pro, ArcGIS Enterprise, ArcGIS Online, ArcPy, the ArcGIS API for Python, ArcGIS REST APIs, and ArcGIS Maps SDKs.

Experience developing custom geoprocessing tools, Python toolboxes, web-based mapping applications, dashboards, widgets, extensions, and automated spatial analysis workflows is highly valued.