Data Scientist 728
Freedom Technology Solutions Group
| Company | Freedom Technology Solutions Group |
| Category | Data & Analytics |
| Location | St. Louis |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 17 Jul 2026 |
| Last verified | 1 Aug 2026 |
| Source | Employer career page (greenhouse) |
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
What’s in It for You?
Flexible work environment
A team mentality – work with friendly, like-minded professionals
Work with innovative, cutting edge technologies
Enjoy extremely competitive compensation and ben
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