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Spatial Data Science Jobs in Florida (NOW HIRING)

Air Modeler

Jacksonville, FL ยท Remote

$80K - $119K/yr

... Science, Atmospheric Sciences/Meteorology, or related field (Master's preferred). Experience ... What We'd Love to See in You Proficiency with GIS, mapping tools, and spatial data processing.

... spatial data of range environment and infrastructure. Secondarily, the contractor shall provide ... science, cartography, graphic arts, and database management. Substitution of experience for ...

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GIS Technician I

Ocala, FL ยท On-site

$43K - $57K/yr

... spatial data for internal and external stakeholders. 5. Quality Assurance: Conduct quality ... Associate of Arts (AA) or Associate of Science (AS) in cartography, computer science, or related ...

Possess a Bachelor's degree in GIS, Geography, Computer Science, or a related field required ... Mapping and working with spatial data. * Microsoft Office programs including Outlook, Word, Excel ...

Possess a Bachelor's degree in GIS, Geography, Computer Science, or a related field required ... Mapping and working with spatial data. * Microsoft Office programs including Outlook, Word, Excel ...

... spatial relationships to extract structured data from complex scanned documents, while enabling ... Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in ...

... spatial relationships to extract structured data from complex scanned documents, while enabling ... Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in ...

... spatial relationships to extract structured data from complex scanned documents, while enabling ... Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in ...

... scientists, engineers, geologists, and technical specialists, embedded in a people-focused culture ... Geostatistical analysis and spatial data management using ArcGIS and other GIS platforms. * 3D ...

... scientists, engineers, geologists, and technical specialists, embedded in a people-focused culture ... Geostatistical analysis and spatial data management using ArcGIS and other GIS platforms. * 3D ...

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Showing results 1-20

Spatial Data Science information

See Florida salary details

$33.3K

$96.9K

$132.6K

How much do spatial data science jobs pay per year?

As of Jul 1, 2026, the average yearly pay for spatial data science in Florida is $96,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $102,800.00 per year, depending on experience, location, and employer.

What is spatial data science?

Spatial data science is a field that combines data science techniques with geographic information systems (GIS) to analyze and interpret spatial or location-based data. It involves collecting, processing, and visualizing data that has a geographic or spatial component, such as maps, satellite images, or GPS coordinates. Spatial data scientists use methods from statistics, machine learning, and computer science to solve problems related to urban planning, environmental monitoring, transportation, and more. The insights gained from spatial data science help organizations make better decisions based on the relationships and patterns found in geographic data.

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

To thrive as a Spatial Data Scientist, you need a strong background in statistics, geospatial analysis, and programming (often with Python or R), typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases (like PostGIS), and relevant certifications (e.g., Esri Technical Certification) is commonly required. Strong analytical thinking, problem-solving abilities, and effective communication are vital soft skills to interpret spatial data and convey insights to stakeholders. These competencies are crucial for extracting actionable insights from complex geospatial datasets and supporting informed decision-making.

What GIS jobs pay the most?

Senior GIS analyst, GIS manager, and geospatial data scientist roles tend to offer the highest salaries in the GIS field, often exceeding $80,000 to $100,000 annually depending on experience, location, and industry. These positions typically require advanced skills in GIS software, programming, and data analysis, with certifications like GISP enhancing earning potential.

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

AspectSpatial Data ScienceGeospatial Analyst
Required CredentialsDegree in GIS, Geography, Data Science, or related fields; often includes certifications in GIS or data analysisDegree in Geography, GIS, or related fields; certifications in GIS software are common
Work EnvironmentData analysis, modeling, and programming; often in tech or research settingsMapping, data visualization, and GIS software use; typically in government, environmental, or urban planning agencies
Employer & Industry UsageTech companies, research institutions, urban planning, environmental agenciesGovernment agencies, environmental consultancies, urban planning firms

Spatial Data Science focuses on analyzing spatial data using advanced data science techniques, programming, and modeling. In contrast, Geospatial Analysts primarily work with GIS software to create maps and visualize spatial data. While both roles require GIS knowledge, Spatial Data Scientists often have stronger programming and statistical skills, working on complex data analysis projects, whereas Geospatial Analysts focus more on mapping and data visualization tasks.

Can data scientists make $300k?

Data scientists, including those specializing in spatial data science, can earn $300,000 or more at senior levels or in high-demand industries, especially with extensive experience, advanced skills in machine learning, and proficiency in tools like Python or R. Achieving this salary often requires working in large companies, consulting roles, or locations with high living costs, and may involve additional responsibilities or leadership positions.

What does a spatial data scientist do?

A spatial data scientist analyzes geographic data to identify patterns, trends, and relationships using tools like GIS software and programming languages such as Python or R. They develop models, visualize spatial information, and support decision-making in fields like urban planning, environmental management, or logistics.

Is GIS a high demand job?

GIS (Geographic Information Systems) professionals, including those in spatial data science, are in high demand across industries such as urban planning, environmental management, and transportation. The increasing use of spatial analysis, remote sensing, and GIS tools like ArcGIS and QGIS contributes to strong job growth and opportunities for skilled workers.

What are some typical challenges spatial data scientists face when integrating geospatial data from multiple sources?

Spatial data scientists often encounter challenges like inconsistencies in data formats, varying coordinate reference systems, and differences in spatial resolution when integrating geospatial data from multiple sources. Addressing these requires familiarity with data transformation tools and a strong understanding of spatial data standards. Additionally, ensuring data quality and managing large datasets can be complex, so attention to detail and effective use of GIS software are crucial for successful integration.
What are popular job titles related to Spatial Data Science jobs in Florida? For Spatial Data Science jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Spatial Data Science jobs in Florida look for? The top searched job categories for Spatial Data Science jobs in Florida are:
What cities in Florida are hiring for Spatial Data Science jobs? Cities in Florida with the most Spatial Data Science job openings:
Air Modeler

Air Modeler

W&M Environmental Group

Jacksonville, FL โ€ข Remote

$80K - $119K/yr

Full-time

Posted 22 days ago


Job description

Responsibilities

Independent creation of complete regulatory models using required software, including AERMOD,AERMET, AERMAP, BPIPPRM, AERSURFACE, and AERSCREEN.

Interpreting and applying EPA modeling guidance, including Appendix W, AERMOD implementation Guide, and related technical memoranda.

Explaining to technical reviewers, project managers, clients, and permitting agencies the air dispersion models' assumptions, results, limitations, and regulatory significance.

Overseeing project scope, budget, and schedule while maintaining quality standards.

Building strong client relationships and contributing to business growth through technical leadership.

Collaboration with a multifunctional, cross-regional team

Required Skills

Bachelor's degree in Environmental Science, Atmospheric Sciences/Meteorology, or related field (Master's preferred).

Experience reviewing AERMOD results, extracting design concentrations, preparing results tables, and comparing model results to SILs, NAAQS, PSD increments, or other thresholds.

Experience evaluating meteorological data, surface characteristics, terrain, background concentrations, and nearby source inventories.

Strong technical writing skills, with the ability to prepare concise, defensible, and well-documented modeling protocols, reports, memoranda, and comment responses.

Strong attention to detail, analytical judgement, and problem-solving ability.

What We'd Love to See in You

Proficiency with GIS, mapping tools, and spatial data processing.

Programming and scripting experience in Python, R, BASH, or similar to automate modeling workflows, QA checks, post-processing, and visualization.

Familiarity with federal, state(s), and local air quality permitting requirements, including NAAQS, PSD, minor NSR, state toxics programs and cumulative impact analysis.

#LI-CT1

#LI-remote

Compensation Range:

$80,000.00 - $119,000.00

As an EEO/Affirmative Action Employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, veteran or disability status.

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