Principal Applied Scientist - TS/SCI
Core
Scientific authority for developing, validating, and applying advanced analytical and simulation models to characterize Ubiquitous Technical Surveillance (UTS) environments and enhance force survivability.
Role type
Principal Applied Scientist (Computational Modeling & Simulation)
Builds
Integrated analytical capabilities for pattern recognition, anomaly detection, predictive analytics, and agent-based modeling (ABM) for joint force commanders and operators.
Domain
Defense / Intelligence / Computational Modeling / Agent-Based Simulation
Deliverable
production ML models | research | infrastructure
Required skills
computational modeling, applied mathematics, physics, data science, agent-based modeling, predictive modeling, physics-based modeling, statistical analysis, Python, scientific computing, AI/ML program experience, feature engineering, uncertainty assessment
Preferred skills
agent-based modeling, human behavior modeling, adversarial systems modeling, reinforcement learning, Bayesian inference, Monte Carlo methods, explainable AI (XAI), digital twins, force protection analysis
Technologies
Python, scientific computing libraries, agent-based modeling frameworks, simulation environments
Responsibilities
Serve as scientific lead for computational modeling and simulation activities; establish rigorous methodologies for representing UTS phenomena; design and validate complex agent-based models; evaluate simulation outputs for realism and operational relevance; apply statistical and probabilistic methods to characterize uncertainty; collaborate with data scientists to ensure ML models leverage meaningful scientific features.
Seniority
Principal, scientific authority & technical leadership