Data Scientist 728
St. Louis, MO
- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDevelop statistical and analytical models for structured and unstructured data
Analyze imagery metadata, geospatial data, and operational datasets
Design feature engineering strategies for AI/ML models
Evaluate model accuracy and continuously improve performance
Collaborate with software engineers to operationalize analytical capabilities
From the employer’s posting
Develop statistical and analytical models for structured and unstructured datasets
Analyze imagery metadata, geospatial data, and operational datasets
Design feature engineering strategies for AI/ML models
Evaluate model accuracy and continuously improve performance
Collaborate with software engineers to operationalize analytical capabilities
What you’ll bring
All qualificationsCore experience
- Active TS/SCI clearance (eligible for CI Poly)
- Experience in software development, system integration, or technical support roles
- Experience working directly with customers or stakeholders in a technical or mission environment
- Experience gathering and documenting requirements
- Familiarity with Agile development practices
Preferred experience
- Experience with geospatial analytics
- Experience working with large-scale operational datasets
- Experience processing satellite imagery
- Experience with data mapping or integration workflows (using JSON or other object notation)
Qualification wording
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
Experience gathering and documenting requirements
Familiarity with Agile development practices
Experience with geospatial analytics
Experience working with large-scale operational datasets
Experience processing satellite imagery
Experience with data mapping or integration workflows (using JSON or other object notation)
Tools in this posting
- Python
- SQL
- AWS
- Docker
- PostgreSQL
- Power BI
- Redis
- S3
- Tableau
- Matplotlib
- NumPy
- pandas
- Plotly
- SciPy
Source — Tool mentions in context
Key Technologies: - Python - Pandas
- Jupyter - SQL - PostgreSQL/PostGIS, Aurora, Oracle (w/Spatial)
- Redis, Elasticache - AWS (S3, Athena, Glue, Lambda, ECS) - Docker
- Experience working with large-scale operational datasets - AWS services - Experience processing satellite imagery
- AWS (S3, Athena, Glue, Lambda, ECS) - Docker - GitLab CI/CD
- SQL - PostgreSQL/PostGIS, Aurora, Oracle (w/Spatial) - Redis, Elasticache
- ArcGIS / QGIS - Data visualization (Plotly, Matplotlib, Tableau, Power BI) Required Qualifications:
- PostgreSQL/PostGIS, Aurora, Oracle (w/Spatial) - Redis, Elasticache - AWS (S3, Athena, Glue, Lambda, ECS)
- Pandas - NumPy - SciPy
- Python - Pandas - NumPy
- NumPy - SciPy - Jupyter
Posting record
Report an errorOpen 3 monthsWe first saw this posting 105 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 18, 2026 · 105 days ago
- Recorded sightings
- 79
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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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
Source details
Source notes
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- Pay
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- Location & working pattern
St. Louis, MO
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- Work authorization
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