Modeling and Simulation Analyst, Lead

About the role

As a lead modeling and simulation analyst, you will use your passion for uncovering root causes, developing rigorous analytical insights, and creating solutions that inform mission and capability decisions. You will lead advanced modeling and simulation activities that support quantitative assessments for defense mission objectives.

Responsibilities

• Design, direct, and execute simulation runs using the Advanced Framework for Simulation, Integration, and Modeling (AFSIM) to evaluate force design, operational performance, and system-level capability outcomes
• Integrate and maintain simulation data inputs, conduct scenario-based evaluations, and identify modeling assumptions and limitations that influence analytical results
• Collaborate closely with government analysts, FFRDC partners, and cross-functional technical teams to conduct research, build simulation scenarios, prepare analytical products, and interpret results
• Develop clear documentation, briefs, and presentations to communicate findings, support stakeholder coordination, and strengthen mission-focused decision-making
• Apply a range of analytical and computational methods, including mathematics, statistics, engineering techniques, and operations research approaches such as linear programming, probability theory, and game-theoretic reasoning
• Refine modeling techniques, introduce new tools or programming methods, and help evolve the analytical environment to improve modeling fidelity and analytical throughput
• Mentor junior analysts, coordinate modeling tasks across the team, and contribute to the development of new concepts and analytic approaches that advance mission understanding and operational insights

Requirements

• 5+ years of experience with modeling and quantitative analysis supporting DoD force sizing, shaping, and capability analysis, or modeling, simulation, or capability assessment within Intelligence Community analytics
• 2+ years of experience using AFSIM
• Experience working with object-oriented programming languages, including Python, Java, C++, C#, R, MATLAB, or Simulink
• Knowledge of modeling and simulation techniques for operational analysis or system performance assessment
• Ability to apply a proactive approach to problem-solving and learn new analytical methods as required
• TS/SCI clearance
• Bachelor's degree in a STEM field

Preferred qualifications

• Experience with additional modeling and simulation methods, including discrete event simulation, agent-based modeling, network simulations, physics-based modeling, or stochastic processes
• Knowledge of classical and modern statistical or computational techniques used in quantitative analysis
• Ability to develop or refine analytical scripts to support simulation automation or data processing
• Possession of excellent analytical reasoning and communication skills, to synthesize findings and support internal technical discussions
• Master's degree in a STEM field