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Modeling and Simulation Analyst, Lead

Booz Allen Hamilton

Modeling and Simulation Analyst, Lead

full-timePosted: Aug 14, 2026Updated: Sep 2, 2026VA, Alexandria

Job Description

Modeling and Simulation Analyst, LeadThe Opportunity: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. Using the Advanced Framework for Simulation, Integration, and Modeling (AFSIM), you will design, direct, and execute simulation runs to evaluate force design, operational performance, and system‑level capability outcomes. You will integrate and maintain simulation data inputs, conduct scenario‑based evaluations, and identify modeling assumptions and limitations that influence analytical results.You will collaborate closely with government analysts, FFRDC partners, and cross‑functional technical teams to conduct research, build simulation scenarios, prepare analytical products, and interpret results. You will develop clear documentation, briefs, and presentations to communicate findings, support stakeholder coordination, and strengthen mission‑focused decision‑making.In this role, you will 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. You will refine modeling techniques, introduce new tools or programming methods, and help evolve the analytical environment to improve modeling fidelity and analytical throughput. You will 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.Join us. The world cannot wait.You Have: 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 analytics2+ years of experience using AFSIMExperience working with object‑oriented programming languages, including Python, Java, C++, C#, R, MATLAB, or SimulinkKnowledge of modeling and simulation techniques for operational analysis or system performance assessmentAbility to apply a proactive approach to problem‑solving and learn new analytical methods as requiredTS/SCI clearance Bachelor’s degree in a STEM fieldNice If You Have: Experience with additional modeling and simulation methods, including discrete event simulation, agent‑based modeling, network simulations, physics‑based modeling, or stochastic processesKnowledge of classical and modern statistical or computational techniques used in quantitative analysisAbility to develop or refine analytical scripts to support simulation automation or data processingPossession of excellent analytical reasoning and communication skills, to synthesize findings and support internal technical discussionsMaster’s degree in a STEM fieldClearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.CompensationAt Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $69,400.00 to $158,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.Identity StatementAs part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.Candidate AI Usage PolicyAI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work ModelOur people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.Commitment to Non-DiscriminationAll qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Locations

  • VA, Alexandria

Skills Required

  • modelingintermediate
  • AFSIMintermediate
  • additional modelingintermediate
  • classicalintermediate

Required Qualifications

  • 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 (experience, 5 years)
  • 2+ years of experience using AFSIM (experience, 2 years)
  • Experience working with object‑oriented programming languages, including Python, Java, C++, C#, R, MATLAB, or Simulink (experience)
  • Knowledge of modeling and simulation techniques for operational analysis or system performance assessment (experience)
  • Ability to apply a proactive approach to problem‑solving and learn new analytical methods as required (experience)
  • TS/SCI clearance (experience)
  • Bachelor’s degree in a STEM field (degree in a stem field)
  • Experience with additional modeling and simulation methods, including discrete event simulation, agent‑based modeling, network simulations, physics‑based modeling, or stochastic processes (experience)
  • Knowledge of classical and modern statistical or computational techniques used in quantitative analysis (experience)
  • Ability to develop or refine analytical scripts to support simulation automation or data processing (experience)
  • Possession of excellent analytical reasoning and communication skills, to synthesize findings and support internal technical discussions (experience)
  • Master’s degree in a STEM field (degree in a stem field)

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