Description

Key Responsibilities

• Develop, implement, and maintain advanced statistical models, machine learning algorithms, and AI-enabled analytical solutions supporting operational decision-making.
• Utilize Maven Smart System (MSS), Palantir, Power BI, Python, and AI-enabled analytical platforms to develop predictive models and mission decision-support capabilities.
• Analyze large volumes of structured and unstructured operational, intelligence, and enterprise data to identify trends, anomalies, correlations, and predictive indicators.
• Design and develop predictive analytics, forecasting models, classification algorithms, and optimization techniques to support operational planning and resource allocation.
• Leverage artificial intelligence, machine learning, and data science methodologies to automate information extraction, target identification, threat analysis, and operational assessments.
• Develop dashboards, analytical visualizations, predictive data products, and executive decision-support tools that effectively communicate complex analytical findings.
• Collaborate with Data Engineers, Data Analysts, software developers, operators, intelligence analysts, and mission stakeholders to develop integrated analytical solutions supporting mission objectives.
• Develop analytical frameworks and quantitative models to evaluate system performance, operational effectiveness, capability gaps, technology maturity, and acquisition priorities.
• Support operational experimentation, technology demonstrations, capability evaluations, and acquisition efforts through advanced modeling and data-driven analysis.
• Produce technical documentation, model documentation, analytical reports, executive briefings, and recommendations supporting senior leadership.

Required Qualifications

Education & Experience: MA/MS with 10+ years’ experience; BA/BS with 15+ years; AA/AS with 17+ years; or HS/GED with 19+ years. Demonstrated experience applying data science methodologies to solve complex operational or enterprise challenges.

Technical Skills:

• Experience utilizing Maven Smart System (MSS), Palantir, or similar enterprise analytics and data integration platforms.
• Advanced proficiency with Python for data science, statistical analysis, machine learning, automation, and model development.
• Experience developing predictive models, statistical analyses, machine learning algorithms, or artificial intelligence applications.
• Experience utilizing Power BI or similar business intelligence platforms to develop advanced dashboards and analytical visualizations.
• Strong understanding of supervised and unsupervised machine learning techniques, statistical modeling, predictive analytics, and data mining methodologies.
• Experience collecting, organizing, cleansing, validating, and exploiting structured and unstructured datasets from multiple operational and intelligence sources.
• Experience leveraging AI-enabled tools, large language models (LLMs), or advanced analytics platforms to support operational decision-making.
• Strong proficiency with Microsoft Office Suite, including the ability to develop technical documentation, analytical reports, and executive briefings.

Professional Skills:

• Ability to communicate complex analytical concepts and model outputs to senior leadership in a clear and actionable manner.
• Proven ability to collaborate across multidisciplinary technical and operational teams.
• Experience with doctrine, policy, analysis, or coordination within a large government organization.

Preferred Qualifications

• Experience supporting defense, intelligence, or homeland security organizations.
• Experience in the counter-system or counter-threat mission space, particularly involving unmanned or improvised systems.
• Familiarity with intelligence data sources, sensor fusion, geospatial intelligence, operational data feeds, and mission command systems.
• Experience developing AI-enabled capabilities for object detection, pattern recognition, anomaly detection, or threat forecasting.
• Experience with cloud-based AI/ML environments, distributed computing, MLOps, model lifecycle management, and enterprise data governance.
• Experience supporting operational research, capability development, technology evaluations, or acquisition decision-making within defense organizations.
• Backgrounds in surface warfare, aviation, maritime defense, or installation defense are considered transfe

Key Skills

Education

Bachelor's degree