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Geospatial Data Science Jobs in Florida (NOW HIRING)

Second-61 LLC

Geospatial Solutions Architect

Doral, FL · Remote

Integrate geospatial data into cloud-based applications and platforms * Build interactive maps and ... Bachelor's degree in Geography, Geospatial Science, or related field * OR five years of equivalent ...

SOSi

Mid-Level Geospatial Research Analyst

Doral, FL · On-site

Support geospatial data collection, curation, and analysis, ensuring research outputs align with ... Bachelor's degree in Geography, Geospatial Science, GIS, Remote Sensing, Environmental Science ...

SOSi

Mid-Level Geospatial Research Analyst

Doral, FL · On-site

Support geospatial data collection, curation, and analysis, ensuring research outputs align with ... Bachelor's degree in Geography, Geospatial Science, GIS, Remote Sensing, Environmental Science ...

Prescient Edge

Mid Geospatial Research Analyst

Doral, FL · On-site

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 ...

New

Core One

Data Scientist

Tampa, FL · On-site

Required : • Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics ... geospatial data analysis, trajectory modeling, or pattern of life analytics in support of UAS/sUAS ...

New

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 ...

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Geospatial Data Science information

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$16.4K

$57.9K

$91.2K

How much do geospatial data science jobs pay per year?

As of May 31, 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 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.

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

Geospatial Solutions Architect

Second-61 LLC

Doral, FL • Remote

Other

Posted 9 days ago

Job description

Description

Second-61: We are Vigilant Defenders. Our foundation is built upon patriotism, protecting what matters most. We honor each other, our community, our country, and our customers through exceptional services as their front-line defenders.


Position Description: Geospatial Solutions Architect - Contingent Pipeline Opportunity - We're building a talent pipeline for upcoming U.S. Government defense IT and analytics support roles. Opportunities are contingent upon task order awards and funding under existing contracts.


Location: Remote


Responsibilities:

  • Design and implement geospatial solutions to support visualization, analysis, and decision-making
  • Develop and maintain mapping services, spatial data pipelines, and operational dashboards
  • Integrate geospatial data into cloud-based applications and platforms
  • Build interactive maps and visualization tools for end users
  • Perform spatial analysis, remote sensing, and support geospatial AI/ML applications
  • Ensure data accuracy, performance, and scalability of geospatial solutions
  • Collaborate with data, analytics, and engineering teams to align geospatial capabilities with mission needs
  • Troubleshoot and optimize GIS applications and services
  • Duties and responsibilities may change based on program needs

Requirements

  • Bachelor's degree in Geography, Geospatial Science, or related field
  • OR five years of equivalent experience in geospatial architecture or GIS development
  • Experience developing GIS solutions using tools such as ESRI ArcGIS, QGIS, or similar platforms
  • Experience integrating geospatial data into cloud-based applications
  • Strong understanding of geospatial data formats, mapping services, and spatial analysis
  • Experience performing spatial analysis, remote sensing, and supporting geospatial AI/ML applications
  • Strong analytical and problem solving skills

Desired Skills and Experience:

  • Experience supporting cloud-based geospatial architectures 
  • Experience with APIs and geospatial data services 
  • Experience supporting federal or regulated environments 
  • Experience integrating geospatial data with analytics or data platforms

Certifications:

  • Required: None
  • Preferred: ESRI technical certification, GIS Professional GISP

Clearance Requirement:

  • Candidate must be a U.S. citizen with the ability to pass a standard background check and drug screening.


All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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