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Internship Geospatial Data Scientist Jobs in Missouri

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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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Internship Geospatial Data Scientist information

What is an internship geospatial data scientist?

An Internship Geospatial Data Scientist is a student or recent graduate who assists in analyzing and interpreting geographic data using advanced computational and statistical methods. They work with spatial datasets, use GIS (Geographic Information Systems) software, and may help develop models to solve real-world problems involving locations and spatial relationships. This internship provides hands-on experience in data analysis, mapping, and programming, preparing individuals for a career in geospatial science or data analytics.

What types of projects can an internship geospatial data scientist expect to work on, and how do these contribute to the organization's goals?

As an Internship Geospatial Data Scientist, you can expect to work on projects involving spatial data analysis, map creation, and data visualization using tools like GIS software and Python or R. These projects often support decision-making in areas such as urban planning, environmental monitoring, or logistics optimization. Interns typically assist in cleaning and processing large spatial datasets, developing models, and presenting findings to team members. Your contributions help inform strategic initiatives and provide actionable insights, offering valuable experience and exposure to real-world geospatial challenges.

What are the key skills and qualifications needed to thrive as an internship geospatial data scientist, and why are they important?

To thrive as an Internship Geospatial Data Scientist, you need a solid understanding of GIS concepts, spatial analysis, and proficiency in programming languages like Python or R, often supported by coursework or a background in geography, computer science, or related fields. Familiarity with tools such as ArcGIS, QGIS, remote sensing platforms, and data visualization software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help you interpret spatial data and collaborate with interdisciplinary teams. These abilities are crucial for delivering actionable geospatial insights and supporting data-driven decision-making within organizations.

What is the difference between Internship Geospatial Data Scientist vs Geospatial Data Analyst?

AspectInternship Geospatial Data ScientistGeospatial Data Analyst
Required CredentialsEnrolled in or recent graduate of relevant degree (e.g., GIS, Data Science)Similar educational background, often with additional certifications in GIS or analytics
Work EnvironmentInternship setting, often in tech, government, or environmental firmsFull-time or part-time roles in various industries like urban planning, environmental agencies
Employer & Industry UsageUsed by organizations seeking entry-level talent for geospatial projectsCommon in industries requiring spatial data analysis for decision-making

The Internship Geospatial Data Scientist is an entry-level role focused on learning and supporting geospatial data projects, often within a structured internship program. In contrast, a Geospatial Data Analyst is a more established position involving ongoing data analysis, reporting, and decision support. Both roles require similar educational backgrounds, but the internship is temporary and geared toward gaining experience, while the analyst role is typically permanent and more autonomous.

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:

$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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