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Geospatial Data Science Jobs in Florida (NOW HIRING)

Quiet Professionals LLC

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

Prescient Edge

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 ...

Endurion

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

Prescient Edge

Senior Data Scientist

Doral, FL · On-site

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 ...

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Showing results 21-40

All JobsGeospatial Data Science JobsGeospatial Data Science Jobs in Florida

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 Aug 23, 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.

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 are the key skills and qualifications needed to thrive as a geospatial data scientist?

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.

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 most commonly searched types of Geospatial Data Science jobs in Florida?

The most popular types of Geospatial Data Science jobs in Florida are:

What are popular job titles related to Geospatial Data Science jobs in Florida?

For Geospatial Data Science jobs in Florida, the most frequently searched job titles are:

Geospatial Data Science jobs near you
Infographic showing various Geospatial Data Science job openings in Florida as of August 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 100% In-person job distribution, with an average salary of $57,911 per year, or $27.8 per hour.

Data Governance & Metadata Scientists

Prescient Edge

Doral, FL • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 24 days ago

Job description

Job Title
Data Governance & Metadata Scientists
Location
Doral, FL 33122 US (Primary)
Category
Intelligence
Job Type
Full-Time
Career Level
Staff
Education
Bachelor's Degree
Travel
Security Clearance Required
None
Job Description
Prescient Edge is seeking a Data Governance & Metadata Scientist 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:
  • Data Governance & Metadata Scientists (Specialized in data lineage and metadata governance, ensuring metadata consistency and synchronization between Databricks, Kubernetes, and research dashboards; tracking data lineage and provenance).
  • Shall support ontology-driven decision support systems, mapping structured and unstructured datasets to enhance data interoperability.
  • Shall develop automated metadata validation and quality control mechanisms, ensuring research datasets maintain compliance with DoD governance frameworks.
  • Shall utilize Azure-native indexing services, where feasible, such as Cognitive Search, to implement federated metadata and research product discovery pipelines.
  • Shall submit the Data Governance & Metadata Validation Report, detailing data lineage improvements, governance effectiveness, and compliance findings.
  • Data Governance & Metadata Scientists (Responsible for API-based ingestion, data acquisition from storage containers, and ETL processing in a Data Catalog, ensuring metadata accuracy and lineage tracking.)
  • Shall establish and maintain metadata governance frameworks, ensuring compliance with DoD data management policies and interoperability with Data Catalog.
  • Shall develop automated metadata tagging processes to improve data discoverability, classification, and lineage tracking within the Common Intelligence Picture (CIP) platform.
  • Shall implement and manage data governance workflows, ensuring integration with Open Lineage, Unity Catalog, and GIS metadata standards.
  • Proposed personnel possess the knowledge and capability to develop, implement, and maintain data governance frameworks, ensuring metadata consistency, lineage tracking, and interoperability between Data Lake, ESRI Kubernetes environments, and external data sources.
  • Personnel must be proficient in metadata management, data lineage tracking (Unity Catalog/Open Lineage), schema alignment, and governance best practices.
  • Expertise in geospatial data standards, data cataloging, and compliance with DoD metadata policies is required.

Job Requirements
Experience:
  • Must have demonstrated experience in: Implementing metadata governance frameworks for structured and unstructured data in cloud-based environments.
  • Tracking data lineage and ensuring metadata synchronization across a Data Catalog, ESRI Kubernetes, and enterprise metadata repositories.
  • Utilizing Open Lineage, Apache Atlas, or similar tools for metadata and data lineage management.
  • Enforcing compliance with DoD metadata policies and NSG tradecraft standards for geospatial datasets.

Education:
  • Bachelor's degree in data science, Information Management, GIS, or a related field, or five (5) years of equivalent experience in data governance, metadata management, or geospatial data integration.
  • Desirable but not required certifications include Certified Data Management Professional (CDMP), DAMA Certified Data Governance Professional (DGSP), or ESRI Geospatial Data Management Certification.

Security clearance:
  • Must be a US citizen and able to obtain a 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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