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Geospatial Data Science Jobs in Florida (NOW HIRING)

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 ...

Maxar

Geospatial Analyst (Secret clearance)

Tampa, FL · On-site

... Science (GIS) or related field preferred or the equivalent combination education and experience (Master's degree preferred) * 1-3 years of work experience in GIS, geospatial data management ...

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

Vantor

Geospatial Analyst (Secret clearance)

Tampa, FL · On-site

... Science (GIS) or related field preferred or the equivalent combination education and experience (Master's degree preferred) • 1-3 years of work experience in GIS, geospatial data management ...

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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 Jun 22, 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 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 June 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.
4091 Data Scientist with Security Clearance

4091 Data Scientist with Security Clearance

Procession Systems

Thonotosassa, FL

Other

Posted 25 days ago

Job description

GENERAL DUTIES: Collect process data and perform data analysis. Integrate centralized protect and maintain data in DBMS. * Clean massage and organized data.

Perform ad hoc analysis and present results in a clear manner. Communicate complex quantitative analysis in a clear, precise and actionable manner using storytelling/visualization. Create/deploy/maintain cloud applications to support migration of data and production processes Create/deploy/maintain tools to extract features data and meta-data from a variety of sources, including Raster to vector-to-vector text to vector and text database.

Write/maintain Python scripts in Arc GIS to improve efficiency of the production process. Support Business Processing Re-engineering. Perform Data Conversion/migration Perform Business Analytics.

REQUIRED QUALIFICATIONS: 5 - 7 years of demonstrated programming skills with the ability to write/maintain scripts, including Python and JAVA scripts Knowledge and experience using version control tools such as Git 3-5 years' experience in data science, including the areas of data collection processing exploitation, transformation services, modeling, and analytics. 3-5 years of demonstrated experience performing geospatial data management, including data type conversions coordinate systems in (latitude and longitude, UTM) and their conversions and knowledge of projections and their properties/conversions. * 1 - 3 years of experience, using Tableau or equivalent Business Intelligence software and software server functions.

DESIRED QUALIFICATIONS: Experience in combining, digital cartography, computer, technology, GIS, cartographic and geospatial, production techniques, remote, sensing photography and digital data formats. Proficient in Feature Manipulation Engine (FME) software such as FME Workbench Experience performing data analysis to examine data from a variety of angles to determine hidden values, weaknesses, trends, and or opportunities next line knowledge of ESRI, ArcGIS/ArcPro and Arc Server Experience with ESRI Workflow Manager, WMX and TAM Knowledge of database systems and architecture Ability writing SQL and NoSQL Understanding of cloud architecture, infrastructure, services (including geospatial specific microservices), and DevOps Knowledge of symbolization rules. * Experience working with geospatial data in multiuser enterprise environment.

2 years of experience working with data quality control, tools, including ArcGIS data reviewer Experience with analyzing existing production systems and providing feature recommendations to enhance data science capabilities CLEARANCE: * TS/SCI Clearance with ability to obtain a CI Poly

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About Procession Systems

Sourced by ZipRecruiter

Procession Systems, based in Reston, Virginia, United States, is an industry leader operating in the Information Technology Services sector. Established to address complex business and technology challenges, the company delivers innovative tech solutions for government entities, primarily focusing on systems integration and software development. Procession Systems takes pride in their commitment to quality, responsiveness, and results, geared towards improving public sector services and saving taxpayer dollars.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Reston, VA, US

Year founded

2016

Social media

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