• MOD/SIM Experimentation Engineer

    The MITRE CorporationFairborn, OH 45324

    Job #2692906573

  • Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE-and make a difference with us.

    Department Summary

    The Globally Contested Logistics and Supply Chain department (N154) within the Operations in Contested Environment Division (N150), aims to holistically address Logistics and Supply Chain challenges that face our nation, with a focus on the Department of Defense. We accomplish our mission by preparing for and sustaining power projection while our logistics is deliberately threatened.

    Roles & Responsibilities:

    • Apply a variety of analytical techniques to tackle contested logistics challenges to include data mining, statistical models, predictive analytics, optimization, risk analysis, and data visualization

    • Conduct analysis of military mission capabilities using the Advanced Framework for Simulation, Integration, and Modeling (AFSIM) software and support government studies and other warfighting analyses

    • Apply structured problem solving, operations research techniques, warfare modeling, and functional and mission level analysis to examine high-priority challenges across contested logistics

    • Develop new analytic techniques to gain insights into the relationship of logistics to military operations

    • Design, execute, and scope simulation-centric experiments to determine the effects of various factors on mission outcomes

    Basic Qualifications

    • Typically requires a Bachelor's degree in Operations Research, Mathematics, Computer Science, or related field and a minimum of 2 years of related experience; or an advanced degree with relevant experience who can immediately contribute at this job step; or equivalent combination of related education and work experience.

    • Must be a U.S. citizen with ability to obtain and maintain a DoD clearance

    • At least 2 years of applicable experience

    • Passion for using software to solve challenging real-world problems

    • Demonstrated proficiency using programming languages (such as Python, C/C++, Java), experience with commonly used analytic tools (such as SAS, MATLAB, R), and database languages (such as SQL)

    • 1+ years of experience with independent work using the Advanced Framework for Simulation, Integration, and Modeling (AFSIM) software and modeling and simulation methods

    • Must have demonstrated proficiency and strength in verbal, written, PC, presentation, and communications skills

    • This position requires a minimum of 50% hybrid on-site

    Preferred Qualifications

    • Preference given to qualified candidates with an active DoD Secret clearance

    • Demonstrated ability to develop software applications, user interfaces, databases and embedded software.

    • Previous experience working with the DoD

    This requisition requires the candidate to have a minimum of the following clearance(s):

    Secret

    This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):

    Secret

    Work Location Type

    Hybrid

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