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Spatial Data Science Jobs in Florida (NOW HIRING)

Delan Associates, Inc

Sr. Data Scientist

Juno Beach, FL · On-site

The position requires deep expertise in data science techniques and handson experience with spatial analytics at scale Responsibilities: * This position leads the design and development of scalable ...

kgs

Data Scientist

Cape Canaveral, FL · On-site

Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ... Spatial statistics and analysis * Big data processing tools * Version control systems (Git)

kgs

Data Scientist

Cape Canaveral, FL · On-site

Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ... Spatial statistics and analysis * Big data processing tools * Version control systems (Git)

FitMatch

Data Scientist

Fort Lauderdale, FL · On-site +1

... Science team. This is a role designed for a creative problem solver and technical innovator ... Work on 3D data processing, object recognition, and spatial mapping * Conduct testing, debugging ...

JPMorgan Chase & Co

Data Scientist Lead

Tampa, FL

Leverage the interplay of textual content, spatial layout, and visual features to extract ... Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in data ...

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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 Sep 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 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 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.

What does a spatial data scientist do?

A spatial data scientist analyzes geographic data to identify patterns, relationships, and trends 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, and logistics.

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:

Spatial Data Science jobs near you
Infographic showing various Spatial Data Science job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $96,936 per year, or $46.6 per hour.

Sophomore Data Scientist Geospatial/Geospatial Machine Learning Scientist

Juno Beach, FL • On-site

VDart, Inc.
Software Development • 1 - 5K employees
Learn more about VDart, Inc.external

Other

Posted 14 days ago

Job description

The Sophomore Data Scientist Geospatial supports the design, development, and delivery of analytical and modeling solutions using geospatial data. This role works closely with senior data scientists, GIS teams, engineers, and business stakeholders to analyze complex datasets, develop spatial analytics solutions, and translate geospatial information into actionable business insights.

The position provides hands-on opportunities to develop scalable GIS tools, analytical applications, spatial data products, and reusable geoprocessing capabilities while gaining experience with enterprise geospatial platforms, cloud technologies, and AI/ML services.

Key Responsibilities
  • Support end-to-end data science and geospatial analytics projects, including data preparation, exploration, feature engineering, modeling, testing, and documentation.
  • Develop analytical and machine learning solutions using structured, unstructured, and geospatial datasets.
  • Build and maintain spatial data pipelines, APIs, automation workflows, and geoprocessing tools.
  • Develop reusable GIS tools, analytical applications, and spatial data products to support business and operational requirements.
  • Perform spatial analysis, data visualization, statistical analysis, and predictive modeling.
  • Develop production-ready Python-based analytical workflows and applications under the guidance of senior technical staff.
  • Assist with integrating GIS capabilities with cloud platforms, enterprise data systems, APIs, and AI/ML services.
  • Support the development and optimization of spatial data processing and analytical workflows.
  • Participate in model validation, testing, monitoring, and performance optimization.
  • Collaborate with GIS professionals, data engineers, software engineers, and business stakeholders.
  • Document analytical methodologies, technical solutions, workflows, and results.
  • Communicate analytical findings and recommendations to both technical and non-technical stakeholders.
  • Learn and apply enterprise development standards, geospatial best practices, and modern data science methodologies.
Required Qualifications
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Geography, GIS, Engineering, or a related quantitative field; advanced degree preferred.
  • 2 4 years of professional experience in data science, analytics, machine learning, GIS, or a related field.
  • Experience applying data science techniques to GIS or geospatial problems preferred, particularly within the last 4 years.
  • Strong proficiency in Python and experience developing analytical or data processing workflows.
  • Working knowledge of SQL and experience working with large or complex datasets.
  • Understanding of statistical analysis, machine learning, predictive modeling, and data visualization.
  • Hands-on experience with geospatial data, spatial analytics, or GIS technologies.
  • Ability to develop analytical tools, applications, scripts, and automated workflows.
  • Strong problem-solving, analytical, communication, and collaboration skills.
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About V Dart

Sourced by ZipRecruiter

Industry

Software development, internet and it and professional, scientific, and technical services

Company size

1,001 - 5,000 Employees

Headquarters location

Alpharetta, GA, US

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