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Geospatial Information Scientist Jobs in Florida

... real-time information sharing, dynamic data integration, and mission-tailored analytical ... Bachelor's degree in Geography, Geospatial Science, GIS, Remote Sensing, Environmental Science ...

... real-time information sharing, dynamic data integration, and mission-tailored analytical ... Bachelor's degree in Geography, Geospatial Science, GIS, Remote Sensing, Environmental Science ...

This role requires both scientific rigor and practical execution, including hands-on engagement with field and mill data, geospatial information, remote sensing platforms, sensor technologies, and ...

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Geospatial Information Scientist information

What is a geospatial information scientist?

Geospatial Information Scientists are professionals who use technology and analytical skills to collect, analyze, and interpret geographic data. They work with geographic information systems (GIS), remote sensing, and mapping software to solve spatial problems and support decision-making across industries such as environmental management, urban planning, and defense. Their work often involves processing data from satellites, drones, and GPS devices to create maps, visualizations, and models. Geospatial Information Scientists play a critical role in helping organizations understand spatial patterns and make data-driven decisions.

What does a geospatial information scientist do?

A geospatial information scientist, also known as a geospatial analyst, has responsibilities that focus on geographic research and data that relates to the way people use the space around them. As a geographic information scientist, your duties are to use your knowledge of geographic information systems (GIS) and research to plan urban or agricultural development, develop maps and GPS data, aid in the creation of geospatial apps and software, examine landscape changes, or assist in the management of environmental conservation and disaster relief. You also use your research to determine information like population trends, resource utilization, and how climate changes affect the land.

What are the key skills and qualifications needed to thrive as a geospatial information scientist, and why are they important?

To thrive as a Geospatial Information Scientist, you need a solid background in geography, computer science, and spatial analysis, often supported by a relevant degree in GIS, geography, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases, and programming languages like Python or R is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and convey insights to diverse stakeholders. These skills and qualities are vital for producing accurate spatial analyses and supporting data-driven decision-making across various industries.

What are some common challenges faced by geospatial information scientists when working with large datasets?

Geospatial Information Scientists often work with massive datasets that can present challenges related to data quality, storage, and processing speed. Ensuring the accuracy and consistency of spatial data from multiple sources requires strong attention to detail and robust data validation techniques. Additionally, optimizing workflows for processing and analyzing large volumes of geospatial data often involves using specialized software tools and high-performance computing resources. Collaborating with IT teams and data engineers is essential to manage these technical hurdles effectively.

What are popular job titles related to Geospatial Information Scientist jobs in FL?

For Geospatial Information Scientist jobs in FL, the most frequently searched job titles are:

Infographic showing various Geospatial Information Scientist job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Sophomore Data Scientist Geospatial/Geospatial Machine Learning Scientist

Juno Beach, FL โ€ข On-site

VDart, Inc.
Software Developmentย โ€ขย 1 - 5K employees

Other

Posted 13 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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