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Geospatial Data Science Jobs in Florida (NOW HIRING)

Data Layer Engineer

Tampa, FL · On-site

$108K - $129K/yr

The position requires working with ESRI geospatial data layers, ArcGIS Enterprise, and cloud-based ... Bachelor's degree in Data Management, Information Science, Computer Science, or a related field; or

Geospatial Solutions Architect

Doral, FL · On-site

$60.25 - $79.50/hr

Must be proficient in GIS tools, geospatial data processing, and mapping services. * Shall develop ... Bachelor's degree in Geography, Geospatial Science, or a related field, or five (5) years of ...

Personnel must also have experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications. Education: * A Master's degree in Data Science, Machine ...

Lead and support data science efforts across the full ML lifecycle, including data collection ... Experience with geospatial data analysis, trajectory modeling, or pattern of life analytics in ...

... geospatial workflows, data engineering, and enterprise data management. This role creates hands-on ... Bachelor's degree in Education, Instructional Design, Intelligence Studies, Data Science, or a ...

... geospatial tools, and operational dashboard utilization training for partner nations. This future ... Bachelor's degree in Education, Instructional Design, Intelligence Studies, Data Science, or a ...

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Showing results 1-20

Geospatial Data Science information

See Florida salary details

$16.4K

$57.9K

$91.2K

How much do geospatial data science jobs pay per year?

As of Jul 12, 2026, the average yearly pay for geospatial data science in Florida is $57,911.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,700.00 and $59,800.00 per year, depending on experience, location, and employer.

How does a Geospatial Data Scientist typically collaborate with other departments or teams within an organization?

Geospatial Data Scientists often work closely with professionals from diverse departments such as urban planning, environmental science, IT, and business analytics. Collaboration usually involves sharing spatial insights, integrating geospatial data with other datasets, and contributing to interdisciplinary projects that require spatial analysis or mapping. Effective communication is crucial, as you'll translate complex geospatial findings into actionable recommendations for non-technical stakeholders. This cross-functional teamwork not only broadens your understanding of organizational goals but also enhances the impact and visibility of geospatial analyses.

What is the difference between Geospatial Data Science vs GIS Analyst?

AspectGeospatial Data ScienceGIS Analyst
Required CredentialsDegree in Data Science, Geography, or related; often includes programming skillsDegree in Geography, GIS, or related; GIS certifications common
Work EnvironmentData analysis, modeling, programming, often in tech or research settingsMapping, spatial data management, using GIS software in various industries
Employer & Industry UsageTech companies, research institutions, government agencies focusing on spatial data analysisUrban planning, environmental agencies, utilities, and government agencies

While both roles work with spatial data, Geospatial Data Science emphasizes data analysis, modeling, and programming skills to extract insights from geospatial data. GIS Analysts focus more on mapping, data management, and using GIS software for spatial analysis. The roles often overlap but differ mainly in technical focus and application areas.

What are the key skills and qualifications needed to thrive as a Geospatial Data Scientist, and why are they important?

To thrive as a Geospatial Data Scientist, you need a solid background in statistics, spatial analysis, and programming, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases, and coding languages like Python or R is essential, and certifications in GIS can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help translate complex spatial data into actionable insights for diverse stakeholders. These skills ensure accurate data analysis, innovative solutions, and impactful decision-making in fields reliant on geographic information.

What is geospatial data science?

Geospatial data science is an interdisciplinary field that focuses on analyzing and interpreting data that has a geographic or spatial component. It combines techniques from data science, statistics, and geographic information systems (GIS) to extract insights, identify patterns, and solve problems related to location-based data. Professionals in this field work with mapping, remote sensing, spatial analysis, and visualization tools to support decision-making in areas like urban planning, environmental monitoring, and logistics.
What job categories do people searching Geospatial Data Science jobs in Florida look for? The top searched job categories for Geospatial Data Science jobs in Florida are:
Mid Geospatial Research Analyst with Security Clearance

Mid Geospatial Research Analyst with Security Clearance

Prescient Edge

Doral, FL • On-site

Other

Medical, Dental, Vision, Retirement

Re-posted 14 days ago


Job description

Prescient Edge is seeking a Mid Geospatial Research Analyst to support a Federal Government client. Please note that the availability of this position is contingent upon contract award. Benefits: At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best-in-class benefits package that includes: * A competitive salary with performance bonus opportunities. * Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage. * A substantial retirement plan with no vesting schedule. * Career development opportunities, including on-the-job training, tuition reimbursement, and networking. * A positive work environment where employees are respected, supported, and engaged. Description: * Support geospatial data collection, curation, and analysis, ensuring research outputs align with mission objectives. * Apply geospatial analytical techniques, including spatial modeling, remote sensing interpretation, and GIS-based risk assessments. * Document and validate geospatial data sources, ensuring alignment with metadata governance and interoperability standards. * Contribute to the Geospatial Research Insights Report, detailing analytical methodologies and operational applications of geospatial intelligence. Job Requirements Experience: * Possess the expertise, knowledge, and capability to both apply and lead geospatial analytics and all-source intelligence methodologies, theories, and frameworks; and AI/ML, data quality, enrichment, and stewardship processes and techniques to research to: * Develop geospatial and all source intelligence analytic products. * Conduct data stewardship techniques best practices. * Collaborate with other data providers and analysts to produce and curate country and regional pages in EDA. * Engage and collaborate with customers to understand analytic requirements. * Working knowledge of Esri ArcGIS Enterprise systems and data steward tools, catalogs, techniques, and processes. Education: * A Bachelor's degree in Geography, Geospatial Science, GIS, Remote Sensing, Environmental Science, Computer Science, Business Analytics or a closely related field; or 5+ years minimal experience creating geospatial analytic products in these fields of study or supporting DoD geospatial and all-source analysis and production, including supervising analysis, research, and production. * Certifications or training in Esri GIS or related technologies (e.g., ArcGIS Pro, ArcGIS REST API), Python, R, JSON, HTML/XML, SQL, NoSQL, PostgreSQL, Open-Source Intelligence (OSINT), and All Source Intelligence analytic methodology are advantageous but not required. Security clearance: * Active TS/SCI clearance. Location: * Doral, Florida. (USSOUTHCOM Headquarters) Prescient Edge is a Veteran-Owned Small Business (VOSB) founded as a counterintelligence (CI) and Human Intelligence (HUMINT) company in 2008. We are a global operations and solutions integrator delivering full-spectrum intelligence analysis support, training, security, and RD&E support solutions to the Department of Defense and throughout the intelligence community. Prescient Edge is an Equal Opportunity Employer (EEO). All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic that is protected by law. We strive to foster equity and inclusion throughout our organization because we believe that diversity of thought is critical for creating a safe and engaging work environment while also enabling the organization's success.

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About Prescient Edge

Sourced by ZipRecruiter

Prescient Edge is a prominent name in the global security industry, based out of McLean, VA, US. Established with the primary mission of harnessing science and technology for safety and security purposes, the company specializes in providing a wide range of products and services. This includes research and development, consulting, global operations support, intelligence evaluation, and advanced data solutions. These offerings make Prescient Edge an integral factor in national defense and commercial innovations.

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

McLean, VA, US

Year founded

2008

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