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Geospatial Data Scientist Jobs in Florida (NOW HIRING)

Process and analyze large-scale geospatial datasets * Create data visualization and reporting ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ...

Process and analyze large-scale geospatial datasets * Create data visualization and reporting ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ...

Personnel must also have experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications. Education: * A Master's degree in Data Science, Machine ...

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

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Geospatial Data Scientist information

See Florida salary details

$28K

$91.7K

$146.8K

How much do geospatial data scientist jobs pay per year?

As of Jul 26, 2026, the average yearly pay for geospatial data scientist in Florida is $91,721.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $101,600.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

A geospatial data scientist can start or transition into the field at age 40, as data science values skills, experience, and continuous learning over age. Many professionals successfully switch careers or advance in data science later in life by acquiring relevant skills such as programming, statistics, and GIS tools, and obtaining certifications if needed.

What are the typical daily tasks of a Geospatial Data Scientist?

As a Geospatial Data Scientist, your daily tasks often involve collecting, cleaning, and analyzing spatial datasets using GIS tools and programming languages. You may be responsible for developing spatial models, visualizing geographic data through interactive maps, and generating reports to help guide strategic decisions. Collaboration with professionals from engineering, urban planning, or environmental science teams is common, requiring you to communicate complex analyses in a clear and actionable manner. Additionally, you might participate in project meetings to align your work with organizational goals and stakeholder needs. This dynamic role blends technical analysis with communication and teamwork, making each day varied and intellectually stimulating.

What are the key skills and qualifications needed to thrive in the Geospatial Data Scientist position, and why are they important?

Geospatial Data Scientists require expertise in spatial analysis, statistics, and data modeling, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), programming languages like Python or R, and familiarity with spatial databases are often expected, while certifications in GIS can be advantageous. Strong problem-solving abilities, collaboration, and effective communication skills help professionals translate complex data into actionable insights and work well with diverse teams. Mastery of these skills ensures accurate geospatial analyses and supports informed, data-driven decision making in various industries.

Can data scientists make $300k?

Geospatial Data Scientists with extensive experience, advanced skills in GIS tools, programming, and machine learning can potentially earn $300,000 or more, especially in high-demand industries or senior roles. However, such salaries are typically achieved through seniority, specialized expertise, or leadership positions, and are not common for entry-level or mid-career roles.

Is GIS still in demand?

Geospatial Data Scientists and GIS professionals are in high demand due to the increasing reliance on spatial data across industries such as urban planning, environmental management, and logistics. Skills in GIS software, spatial analysis, and programming languages like Python or R enhance job prospects in this field, which continues to grow with advancements in technology and data integration.

What is a Geospatial Data Scientist job?

A Geospatial Data Scientist analyzes spatial and geographic data to extract insights, create predictive models, and support decision-making. They use tools like GIS, remote sensing, machine learning, and statistical analysis to process location-based data. Their work spans various industries, including urban planning, environmental monitoring, agriculture, and logistics. By leveraging spatial data, they help optimize operations, manage resources, and solve complex geographic problems.

What does a geospatial data scientist do?

A geospatial data scientist analyzes geographic data to identify patterns, trends, and insights using tools like GIS software, programming languages such as Python or R, and spatial databases. They develop models, visualize data on maps, and support decision-making in fields like urban planning, environmental management, and transportation.
What are the most commonly searched types of Geospatial Data Scientist jobs in Florida? The most popular types of Geospatial Data Scientist jobs in Florida are:
What are popular job titles related to Geospatial Data Scientist jobs in Florida? For Geospatial Data Scientist jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Scientist jobs in Florida look for? The top searched job categories for Geospatial Data Scientist jobs in Florida are:
What cities in Florida are hiring for Geospatial Data Scientist jobs? Cities in Florida with the most Geospatial Data Scientist job openings:
Infographic showing various Geospatial Data Scientist job openings in Florida as of July 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 93% In-person, and 7% Hybrid job distribution, with an average salary of $91,721 per year, or $44.1 per hour.

Data Scientist

kgs

Cape Canaveral, FL

Other

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Job description

Koniag IT Systems, LLC, a Koniag Government Services company, is seeking a Data Scientist with a Secret security clearance to support KITS and our government customer at Stennis Space Center, MS.

We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more.

Koniag IT Systems, LLC, a Koniag Government Services company, is seeking a skilled Data Scientist to join our team at Stennis Space Center, Mississippi. The ideal candidate will leverage advanced analytics, machine learning, and geospatial analysis techniques to extract valuable insights from complex datasets. This position offers the opportunity to work with cutting-edge technologies and contribute to mission-critical projects while solving challenging analytical problems.

The Data Scientist will be responsible for developing and implementing advanced analytical solutions, with a particular focus on geospatial data analysis and modeling.

Key responsibilities include:

  • Design and implement machine learning models and statistical analyses
  • Develop predictive models and data-driven solutions
  • Process and analyze large-scale geospatial datasets
  • Create data visualization and reporting solutions
  • Conduct exploratory data analysis
  • Develop and maintain analytical pipelines
  • Collaborate with cross-functional teams to understand requirements
  • Transform complex data into actionable insights
  • Optimize existing models and analytical processes
  • Document methodologies and findings
  • Present technical findings to stakeholders

Education and Experience:

  • Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field
  • 5+ years of experience in data science or related field
  • Proven experience with machine learning and statistical modeling
  • Strong background in geospatial analysis
  • Demonstrated track record of successful analytical projects

 

Required Skills and Competencies:

  • Python, R, or similar programming languages
  • Machine learning frameworks (scikit-learn, TensorFlow, PyTorch)
  • Statistical analysis and modeling
  • Data visualization tools (Matplotlib, Seaborn, Plotly)
  • SQL and database querying
  • Geographic Information Systems (GIS), specifically: Commercial Joint Mapping Toolkit (CJMTK)
  • ESRI ArcGIS suite of commercial software components
  • ArcGIS Runtime
  • ArcGIS Engine
  • ArcGIS extensions including: 3-D Analyst
  • Geostatistical Analyst
  • Network Analyst
  • Spatial Analyst
  • Tracking Analyst
  • ArcGIS Server
  • Experience with:
  • Spatial statistics and analysis
  • Big data processing tools
  • Version control systems (Git)
  • Jupyter notebooks
  • Data preprocessing and feature engineering
  • Model evaluation and validation techniques
  • Strong analytical and problem-solving skills
  • Excellent communication abilities
  • Must be able to work on-site at Stennis Space Center, MS

Clearance Requirement:

  • Secret security clearance 

Desired Skills and Competencies:

  • Deep learning techniques
  • Computer vision
  • Natural language processing
  • Cloud computing platforms (AWS, Azure, GCP)
  • Big data technologies (Hadoop, Spark)
  • Remote sensing data analysis
  • Time series analysis
  • Spatial modeling
  • Bayesian statistics
  • Knowledge of:
  • Data engineering principles
  • MLOps practices
  • Distributed computing
  • High-performance computing
  • Image processing
  • Familiarity with:
  • Federal data standards
  • Research methodology
  • Scientific computing
  • Geospatial data formats and standards
  • Publications in peer-reviewed journals
  • Federal government contract experience
  • Security clearance or ability to obtain one
  • Relevant certifications in data science or machine learning

 

Our Equal Employment Opportunity Policy

The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.

The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations.

Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.

Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352