Data Scientist 728
Freedom Technology Solutions GroupSt. Louis, Missouri, United States · Posted 1 month agoDescription
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
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