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Intern 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 ...

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Intern Geospatial Data Scientist information

What is the difference between Intern Geospatial Data Scientist vs Intern GIS Analyst?

AspectIntern Geospatial Data ScientistIntern GIS Analyst
Required CredentialsBasic coursework in data science, GIS, or related fields; some programming experienceStudying GIS, geography, or related fields; familiarity with GIS software
Work EnvironmentData analysis, modeling, and programming tasks in a tech or research settingMapping, data management, and spatial analysis in government or environmental agencies
Industry UsageTech companies, research institutions, environmental firmsGovernment agencies, urban planning, environmental organizations

Intern Geospatial Data Scientists focus on analyzing spatial data using programming and statistical methods, while Intern GIS Analysts primarily handle mapping and spatial data management. Both roles provide valuable experience in geospatial fields but differ in technical depth and focus areas.

How much does an intern geospatial data scientist make?

Intern geospatial data scientists typically earn between $15 and $25 per hour, depending on location, company, and level of experience. Compensation may also include benefits such as mentorship and training in GIS tools and programming languages like Python or R.

How to get a geospatial data scientist internship?

To secure a geospatial data scientist internship, candidates should have a strong foundation in geospatial analysis, programming skills in Python or R, and experience with GIS tools like ArcGIS or QGIS. Building a portfolio of relevant projects, obtaining certifications such as GISP or Esri Technical Certification, and applying through company career portals or internship programs can improve chances. Internships often require a related degree and good analytical skills.

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 job categories do people searching Intern Geospatial Data Scientist jobs in Missouri look for?

The top searched job categories for Intern Geospatial Data Scientist jobs in Missouri are:

What cities in Missouri are hiring for Intern Geospatial Data Scientist jobs?

Cities in Missouri with the most Intern Geospatial Data Scientist job openings:

$120 - $180/hr

Other

Medical, Life, Retirement, PTO

Posted 11 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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