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Geospatial Data Scientist Jobs in Missouri (NOW HIRING)

Shipt, Inc.

Data Scientist

California, MO · On-site

$76 - $130/hr

Impact Impact As a Data Scientist specializing in geospatial intelligence, you will help power the next generation of final-mile logistics. This role will develop advanced models and data systems ...

Bunge Iberica SA

Data Scientist

Chesterfield, MO · On-site

$110 - $150/hr

Data Scientist Date: Aug 10, 2026 Location: Chesterfield, MO -Missouri, US, 63017 City ... Experience with geospatial data analysis, remote sensing, satellite imagery processing and deep ...

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 · 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 ...

Bunge North America

Data Scientist

Chesterfield, MO · On-site +1

The Data Scientist will be an integral part of the Bunge Economic Analysis team, leveraging ... Experience with geospatial data analysis, remote sensing, satellite imagery processing and deep ...

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 ...

Bunge

Data Scientist

Chesterfield, MO · On-site

Preferred Experience/Skills: • 5+ years of industry work experience in Data Science fields. • Experience with geospatial data analysis, remote sensing, satellite imagery processing and deep ...

Bunge

Data Scientist

Chesterfield, MO · On-site +1

The Data Scientist will be an integral part of the Bunge Economic Analysis team, leveraging ... Experience with geospatial data analysis, remote sensing, satellite imagery processing and deep ...

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 ...

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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 23, 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.

What is a geospatial data scientist?

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?

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 as a geospatial data scientist?

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.

How much does a geospatial data scientist make?

A geospatial data scientist's salary typically ranges from $70,000 to $130,000 annually, depending on experience, education, location, and industry. Senior roles or those with specialized skills in GIS tools and programming may earn higher compensation.

Is geospatial data scientist still in demand?

Yes, geospatial data scientists are in high demand due to the increasing use of geographic information systems (GIS), remote sensing, and spatial analysis across industries such as urban planning, environmental management, and transportation. The role often requires skills in programming, data analysis, and tools like Python, R, and GIS software, with strong job growth projected in the coming years.

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 August 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $115,129 per year, or $55.4 per hour.

Data Scientist 728

(EDO) Entertainment Data Oracle, Inc.

Saint Louis, MO • On-site

$120 - $180/hr

Other

Medical, Life, Retirement, PTO

Posted 12 days ago

Job description

Job Summary

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
  • 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
  • NumPy
  • SciPy
  • Jupyter
  • SQL
  • Docker
  • 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 with secure data movement environments
  • Experience working with enterprise service processes such as Service+
  • 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
Benefits
  • Matching 401(k) and fully paid medical and life and disability coverage
  • Generous paid time off, including paid site‑closure days
  • Competitive salary and paid training and tuition reimbursement
  • Flexible work environment and supportive team culture
  • Opportunities for career growth and advancement
  • Work‑life balance and professional development support
Equal Opportunity Employer

As an Equal Opportunity Employer, we do not discriminate on the basis of race, color, religion, sex, age, marital status, disability or veteran status.

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