Senior Data Scientist

Core Responsibilities

• Architect Solutions, Not Just Code
• Design and implement end-to-end data science architectures that process multi-INT data streams at scale.
• 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.
• Shape program direction and capability roadmaps with your insights.
• 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 Areas

• 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.

Required Skills

• US Citizen.
• Active TS/SCI security clearance required to apply; must be able to pass a CounterIntelligence (CI) polygraph following customer indoctrination.
• High School Diploma and 10+ years of relevant experience; alternatively, a Bachelors / Masters degree in a related field of study or a combination of military (10+ years), experience, training or certifications.
• 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.
• Exceptional communication skills—translating complex technical concepts for non-technical stakeholders.
• Independent operator comfortable working in ambiguous, fast paced environments.