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Geospatial Data Scientist Jobs in Missouri (NOW HIRING)

GRVTY

Senior Data Scientist

Saint Louis, MO · On-site

Familiarity with geospatial data science, GEOINT workflows, or multi-INT analysis. What Would Be Nice to Have * Experience with additional programming languages or low-code/no-code platforms such as ...

GRVTY

Senior Data Scientist

Saint Louis, MO

Familiarity with geospatial data science, GEOINT workflows, or multi-INT analysis. What Would Be Nice to Have * Experience with additional programming languages or low-code/no-code platforms such as ...

GRVTY

Senior Data Scientist

Saint Louis, MO · On-site

Familiarity with geospatial data science, GEOINT workflows, or multi-INT analysis. What Would Be Nice to Have * Experience with additional programming languages or low-code/no-code platforms such as ...

Esri

This role combines enterprise data engineering, geospatial technology, and mission impact, giving ... Bachelor's degree in computer science, mathematics, GIS, or related STEM field Recommended ...

Intellectix

Data Scientist

Saint Louis, MO · On-site

This position supports the Geospatial Services & Solutions business area to provide high-quality, cost-effective solutions to the customer. As part of the GSS Team, the Data Scientist's expertise is ...

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All JobsGeospatial Data Scientist JobsGeospatial Data Scientist Jobs in Missouri

Geospatial Data Scientist information

See Missouri salary details

$35.2K

$115.1K

$184.3K

How much do geospatial data scientist jobs pay per year?

As of Aug 3, 2026, the average yearly pay for geospatial data scientist in Missouri is $115,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $127,600.00 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 Missouri? The most popular types of Geospatial Data Scientist jobs in Missouri are:
What are popular job titles related to Geospatial Data Scientist jobs in Missouri? For Geospatial Data Scientist jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Scientist jobs in Missouri look for? The top searched job categories for Geospatial Data Scientist jobs in Missouri are:
What cities in Missouri are hiring for Geospatial Data Scientist jobs? Cities in Missouri with the most Geospatial Data Scientist job openings:
Geospatial Data Scientist jobs near you
Infographic showing various Geospatial Data Scientist job openings in Missouri as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 12% Part Time, and 7% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $115,129 per year, or $55.4 per hour.

Data Scientist 728

Freedom Technology Solutions Group

Saint Louis, MO • On-site

Other

Posted 16 days ago

Job description

Freedom Technology Solutions Group is seeking a Data Scientist to support mission-critical intelligence analysis and geospatial data exploitation. You will develop analytical models, statistical methodologies, and data-driven solutions that transform large, complex datasets into actionable intelligence. Working alongside software engineers, cloud architects, and mission analysts, you will design models that improve discovery, correlation, prediction, and operational decision making across secure cloud environments. 

This is a hands-on role requiring curiosity, analytical rigor, and the ability to translate mission problems into scalable analytical solutions.

Responsibilities: 

  • Develop statistical and analytical models for structured and unstructured datasets
  • Perform exploratory data analysis and identify meaningful patterns and anomalies
  • Design feature engineering strategies for AI/ML models
  • Analyze imagery metadata, geospatial data, and operational datasets
  • Evaluate model accuracy and continuously improve performance
  • Collaborate with software engineers to operationalize analytical capabilities
  • Develop dashboards, reports, and visualizations to communicate findings
  • Document methodologies and present technical results to mission stakeholders
  • Work with cloud-native data platforms supporting secure government environments Support computer vision, NLP, and geospatial AI initiatives
  • Collaborate with architects, data scientists, and mission stakeholders to gather, document, and refine customer requirements, including data mapping and integration needs
  • Assist in implementing integration solutions in collaboration with development team members
  • Facilitate communication between stakeholders to ensure timely and effective requirements execution
  • Ensure activities align with established processes, standards, and mission objectives
  • Contribute to documentation of processes, procedures, integration patterns, and lessons learned


Key Technologies:

  • Python
  • Pandas
  • NumPy
  • SciPy
  • Jupyter
  • SQL
  • PostgreSQL/PostGIS, Aurora, Oracle (w/Spatial)
  • Redis, Elasticache
  • AWS (S3, Athena, Glue, Lambda, ECS)
  • Docker
  • GitLab CI/CD
  • Linux
  • GDAL, Rasterio, OGR
  • GeoPandas
  • ArcGIS / QGIS
  • Data visualization (Plotly, Matplotlib, Tableau, Power BI)

Required Qualifications:

  • An active TS/SCI clearance (eligible for CI Poly)
  • 1-3(Junior), 3-7(Journeyman), 8-11 (Senior), >12 (Principal) years of experience in software development, system integration, or technical support roles
  • Experience working directly with customers or stakeholders in a technical or mission environment
  • Strong communication and coordination skills across technical and non-technical teams
  • Experience gathering and documenting requirements
  • Ability to manage multiple tasks and priorities in a dynamic environment
  • Familiarity with Agile development practices
  • Experience using GitLab or similar tools for collaboration and tracking

Desired Qualifications:

  • Experience with geospatial analytics
  • Experience with imagery exploitation
  • Knowledge of machine learning
  • Understanding of cloud-native analytics
  • Intelligence Community experience
  • Experience working with large-scale operational datasets
  • AWS services
  • Experience processing satellite imagery
  • Familiarity secure data movement environments
  • Experience working with enterprise service processes such as Service+
  • Geospatial/GIS development a plus
  • Experience with data mapping or integration workflows (using JSON or other object notation)
  • Familiarity with operational dashboards and metrics reporting
  • Experience supporting customer requirement implementation and/or system integration efforts

Apply