Modeling and Simulation Engineer

Booz Allen HamiltonAlexandria, VA
21h

About The Position

Modeling and Simulation Engineer The Opportunity: Are you looking for an opportunity to combine your technical skills with big picture thinking to make an impact on national security? As a Modeling and Simulation (M&S) Engineer, you will design and implement advanced models to evaluate system performance and support strategic decision-making. You'll play a pivotal role in advancing defense missions by conducting modeling to support DoD force sizing, shaping, and capability analysis. Your analytical work will support the acquisition community in making smarter, data-driven investment choices for next-generation warfare technologies. Along the way, you'll sharpen your abilities in critical thinking, data analysis, and operational assessment, while gaining hands-on experience in M&S of DoD systems. Join us. The world can’t wait.

Requirements

  • 5+ years of experience performing modeling and quantitative analysis, including discrete event simulation, agent-based modeling, network simulations, physics-based modeling, Markov decision processes, Hidden Markov models, Stochastic processes, and Monte Carlo and bootstrap methods
  • 5+ years of experience working in government organizations or a DoD acquisition program
  • Experience working with object-oriented programming languages and environments such as Python, Java, C++, C#, R, MATLAB, and Simulink, and using campaign or mission-level M&S tools such as the Synthetic Theater Operations Research Model (STORM) or Advanced Framework for Simulation, Integration, and Modeling (AFSIM)
  • Experience developing analytic study plans to answer strategic questions, developing and briefing materials for senior management, and applying analytical and computational methods, including classical and modern statistics, differential equations, linear algebra, and optimization of using linear or mixed-integer programming
  • Ability to be proactive with assigned tasks and learn and apply new methods as required by the analysis
  • Ability to effectively and clearly communicate and establish collaborative relationships with government clients
  • Ability to work collaboratively and independently, demonstrating initiative to complete complex tasks
  • Secret clearance
  • Bachelor’s degree in a STEM field

Nice To Haves

  • Experience in multi-domain defense simulations, including air, space, missile defense, or cyber
  • Experience supporting operational efforts through M&S development
  • Experience working with large-scale distributed simulations
  • Experience with reinforcement learning and deep reinforcement learning
  • Possession of excellent verbal and written communication skills
  • Possession of excellent problem-solving skills
  • Top Secret clearance
  • Master's degree in a STEM field

Benefits

  • At 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 $86,800.00 to $198,000.00 (annualized USD).
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