Data Scientist

Key Responsibilities

• Develop and apply advanced analytical methodologies to solve complex national security and intelligence challenges.
• Analyze large, diverse datasets to identify trends, relationships, and actionable insights that support mission objectives.
• Design and develop data science solutions utilizing statistical analysis, machine learning, artificial intelligence, and predictive analytics techniques.
• Build computational models that improve situational awareness, relationship discovery, systems modeling, and business analytics.
• Develop data visualizations, dashboards, and graphical products that effectively communicate analytical findings to technical and non-technical audiences.
• Collaborate with intelligence analysts, engineers, and mission stakeholders to understand requirements and deliver innovative analytical solutions.
• Develop and maintain Python-based analytical tools and software applications supporting enterprise mission needs.
• Contribute to research efforts, technical documentation, and continuous improvement initiatives while supporting evolving mission priorities.

Required Qualifications

• Senior or Expert-level experience in Data Science, Analytics, Computer Science, Mathematics, or a related technical discipline.
• 5+ years (Senior) or 10+ years (Expert) of relevant professional experience.
• Experience supporting Intelligence Community missions and applying analytical methodologies to national security challenges.
• Strong understanding of one or more of the following analytical domains: Relationship discovery and link analysis, Situational awareness and intelligence fusion, Systems modeling and simulation, Business intelligence and analytics.
• Experience applying advanced mathematical, statistical, and computational techniques to solve complex problems.
• Strong programming experience with Python and familiarity with tools and technologies such as SQL, R, Hadoop, Spark, Java, C/C++, Git, Bash, Tableau, ArcGIS, and Unix/Linux.
• Experience with data visualization, machine learning, artificial intelligence, ETL processes, or distributed computing.
• Understanding of research design principles and intelligence collection methodologies.

Preferred Qualifications

• Experience developing innovative data science and analytics solutions that support complex intelligence and mission-focused challenges.
• Experience building enterprise software applications and leveraging modern data management and analytics platforms.
• Ability to communicate complex technical findings through clear visualizations, presentations, and written documentation for both technical and non-technical audiences.