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Mathematics Geography Jobs in Florida (NOW HIRING)

US Publishing Jobs

K-8 Account Executive, FL

Tampa, FL · Remote

$70K - $80K/yr

Florida As an Account Executive, you will play a pivotal role in advancing K-12 literacy and multisensory math initiatives across midsize-to-larger school districts in your assigned geography.

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Mathematics Geography information

See Florida salary details

$16.8K

$44K

$70.6K

How much do mathematics geography jobs pay per year?

As of Aug 22, 2026, the average yearly pay for mathematics geography in Florida is $43,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,600.00 and $52,300.00 per year, depending on experience, location, and employer.

What is a mathematics geography?

A Mathematics Geography job involves applying mathematical concepts and techniques to analyze geographical data, patterns, and spatial relationships. Professionals in this field use statistical modeling, GIS (Geographic Information Systems), and quantitative methods to solve problems related to mapping, environmental studies, urban planning, and resource management. They may work in academia, government agencies, or private industries that require spatial data analysis.

What are some typical projects a mathematics geographer might work on?

Mathematics Geographers often work on projects that involve analyzing spatial data to solve real-world problems, such as modeling urban growth patterns, assessing environmental risks, or optimizing transportation networks. Their day-to-day work may include collecting and processing geospatial data, applying mathematical models to interpret patterns, and using GIS tools to create detailed maps and presentations. Collaboration with urban planners, environmental scientists, and policy makers is common, as their analyses often support key decisions in land use and resource management. This role offers opportunities for specialization and advancement in areas like remote sensing, spatial statistics, or geographic data science.

What are the key skills and qualifications needed to thrive in the mathematics geography position, and why are they important?

To thrive in a Mathematics Geographer role, you need a strong background in mathematics, spatial analysis, and geographic information systems (GIS), typically supported by a degree in geography, mathematics, or a related field. Proficiency in GIS software such as ArcGIS or QGIS, and experience with data visualization and statistical analysis programs like R or Python, are important technical assets. Excellent problem-solving, critical thinking, and communication skills will help you interpret complex spatial data and collaborate with interdisciplinary teams. These capabilities are essential for producing accurate geographic models and analyses that inform decision-making in fields like urban planning, environmental management, and regional development.

What careers can I have with a mathematics geography degree?

A mathematics geography degree prepares individuals for careers such as GIS analyst, urban planner, environmental consultant, data analyst, or cartographer. These roles often require skills in spatial analysis, data management, and geographic information systems (GIS) software, and may involve working in government agencies, environmental organizations, or private consulting firms.

What are popular job titles related to Mathematics Geography jobs in Florida?

For Mathematics Geography jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Mathematics Geography jobs in Florida look for?

The top searched job categories for Mathematics Geography jobs in Florida are:

What cities in Florida are hiring for Mathematics Geography jobs?

Cities in Florida with the most Mathematics Geography job openings:

Mathematics Geography jobs near you

Sophomore Data Scientist Geospatial/Geospatial Machine Learning Scientist

VDart, Inc.

Juno Beach, FL • On-site

Other

Posted 5 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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