Seeking a Data Scientist to transform raw data into actionable insights that directly impact national security operations and warfighter support.
08th October, 2026
Role: Data Scientist. Location: Springfield, VA (5 days onsite - possible hybrid after a few months).
Job Description:
We're seeking a Data Scientist, but this is not just another data science role. This is a chance to turn raw data into actionable insights that directly impact national security operations and warfighter support.
In an era where geospatial intelligence drives critical decisions, you'll architect innovative data solutions that help analysts see patterns others miss, anticipate threats before they materialize, and deliver the GEOINT advantage our nation depends on.
Your work will directly enable our customers to provide timely, relevant, and accurate data to support military and national security objectives.
Value Proposition:
Immediate Impact: Your solutions go into production, supporting real-world intelligence operations—not trapped in endless development cycles.
Technical Freedom: Lead the architectural direction. We trust senior talent to identify the right tools, frameworks, and approaches without bureaucratic constraints.
Innovation Culture: We invest in emerging technologies, AI/ML, automation, advanced analytics—and empower our team to implement them where they add mission value.
Elite Collaboration: Work alongside some of the most talented geospatial analysts, data engineers, and intelligence professionals in the community.
As a Data Scientist, you'll serve as a technical leader and trusted advisor, bridging the gap between complex requirements and elegant technical solutions:
Core Responsibilities:
Architect Solutions, Not Just Code: Design and implement end-to-end data science architectures that process multi-INT data streams at scale. You'll build automated pipelines that transform terabytes of structured and unstructured data into mission-critical intelligence products.
Lead Through Expertise: Serve as the Subject Matter Expert for advanced analytics, mentoring team members while maintaining hands-on technical contributions. Your insights will shape program direction and capability roadmaps.
Innovate Continuously: Research, prototype, and deploy cutting-edge analytical methodologies. Apply machine learning, network analytics, and advanced statistical techniques to solve intelligence problems that have never been solved before.
Deliver Clarity from Complexity: Create sophisticated data visualizations and analytics dashboards that enable analysts to explore massive datasets intuitively, revealing patterns and relationships that drive intelligence assessments.
Drive Mission Success: Partner directly with customer stakeholders, understanding their intelligence questions and translating them into technical requirements. Your solutions will directly support critical intelligence operations.
Technical Focus Area
Geospatial Analytics: Advanced spatial analysis, pattern detection, and predictive modeling using GEOINT datasets.
Multi-INT Fusion: Integrate and analyze data across GEOINT, SIGINT, OSINT, and other intelligence disciplines.
Automation & Scale: Build production-grade Python solutions that handle massive data volumes with efficiency and reliability.
Visual Intelligence: Develop interactive dashboards and network analytics that transform complex data into actionable insights.
AI/ML Applications: Implement machine learning models for classification, clustering, anomaly detection, and predictive analytics. The candidate must have previous experience in ABI tradecraft as well as the ability to produce finished products that adhere to NGA and DNI standards.
General Description
Required Skills
Must be a U.S. citizen.
Active Top Secret security clearance with SCI + CI Poly eligibility.
A Bachelor's Degree in Data Science, Math, Finance, Statistics, Information Management, Computer Science, Engineering, Economics, or an equivalent field, or a combination of military (10+ years), experience, training, or certifications.
5+ years of working experience in one of the related areas: Data Science, Computer Science, or Computer Engineering.
Proven track record supporting Intelligence Community missions in operational environments.
Senior-level proficiency in Python for data science, automation, and analytics pipeline development.
Demonstrated experience in designing mission-ready solutions.
Experience:
Querying and integrating web APIs through Python to retrieve, normalize, and operationalize data.
Developing interactive data visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or comparable tools.
Building dashboards and analytic interfaces using Dash, Streamlit, Panel, Tableau, or similar platforms.
Using Git-based version control platforms such as GitLab or GitHub.
Architecting solutions for large-scale structured and unstructured datasets.
Conducting multi-INT research and analysis to support operational requirements.
Hands-on experience with COTS platforms (Tableau, MATLAB, MapLarge) and GOTS capabilities for advanced statistical analysis.
Strong SQL skills and experience querying relational databases.
Proficiency with:
Geospatial processing frameworks such as GDAL or ArcPy.
GIS desktop software such as ArcGIS Pro or QGIS.
Ability to write clear, concise technical documentation related to software systems and automated workflows.
Operate independently at a senior level with limited oversight.
Identify capability gaps and architect innovative technical solutions.
Proven ability to lead technical teams and mentor data scientists.
Familiarity with:
USSOCOM and broader U.S. military organizational structures.
Common Intelligence Community (IC) data repositories.
Demonstrated experience building, maintaining, and querying complex databases.
Deep understanding of intelligence analysis workflows and how data science enables mission success.
Exceptional communication skills, translating complex technical concepts for non-technical stakeholders.
Independent operator comfortable working in ambiguous, fast-paced environments.
Desired Skills
AI/ML development experience with production model deployment.
Geospatial programming expertise: Python with GeoPandas/ArcPy, ArcObjects, GIScience techniques.
Full-stack development capabilities: JavaScript/HTML5, .NET, C++, Java.