Systems Modeling and Simulation Engineer (level 2 / 3)

Successful candidates will be ready to analyze current inventory effectiveness using statistical analysis, account for various changing configurations, and apply probability-based analytics to optimize recommendations and maximize positive impacts to key performance indicators. Previous experience in aviation and defense programs, familiarity with Monte Carlo simulations, and aptitude for project management and communication are critical skills for this position.

Key Responsibilities:

Key aspects include organization and self-drive to gather required information, work with stakeholders, and provide analyses and presentations regarding:

• Developing new and/or integrate existing system simulation frameworks, performance models and algorithms, threat models, and command and control models.

• Simulate real-time operation and develop software/models that represent projected behavior of systems.

• Develop, integrate, and use advanced graphical user interfaces and visualization tools.

• Model operational environments, perform trade studies via computer simulation and recommend alternative architectures.

• Perform operational analysis and mission effectiveness analysis.

• Develop and integrate mission concept development, Level of Repair Analysis (LORA), spares sensitivity, Operations and Support (O&S) cost analyses / ROI, and model-based system engineering.

• Develop and adapt existing models, methods, and simulations to support the design, development, and sustainment of system design concepts and technologies.

We are looking for self-motivated, proactive, and goal-oriented people to help us grow our services and become even better at what we do.

We offer flexible work arrangements, 9/80 work schedule with every other Friday off, phenomenal learning opportunities, exposure to a wide variety of projects and customers, and a very friendly team environment. We are looking for self-motivated, proactive, and goal-oriented people to help us grow our services and become even better at what we do.

*This Position may be offered at a level 2 or Principal (level 3)*

Basic Qualifications for Systems Modeling and Simulation Engineer (level 2):

• Bachelor's degree in a Science, Technology, Engineering, or Mathematics (STEM) discipline and 2 years of statistical analysis, data analysis, or system modeling experience in a professional environment; OR Master’s degree in a Science, Technology, Engineering, or Mathematics (STEM) discipline and 0 years experience.

• Must have advanced proficiency with MS Excel (extensive formula calculations, pivot tables/charts, macros, etc.)

• Must have the ability to obtain and maintain; a US Government Secret Clearance, Special Access Program (SAP), and SCI clearance within a reasonable amount of time as determined by the company.

• Willing and able to travel up to 25%.

Basic Qualifications for Systems Modeling and Simulation Engineer (level 3):

• Bachelor's degree in a Science, Technology, Engineering, or Mathematics (STEM) discipline and 5 years of statistical analysis, data analysis, or system modeling experience in a professional environment; OR Master’s degree in a (STEM) discipline and 3 years of statistical analysis, data analysis, or system modeling experience in a professional environment; OR PhD in a (STEM) discipline and 1 year of statistical analysis, data analysis, or system modeling experience in a professional environment.

• Experience in statistical modeling.

• Advanced proficiency with MS Excel (extensive formula calculations, pivot tables/charts, macros, etc.)

• Must have the ability to obtain and maintain; a US Government Secret Clearance, Special Access Program (SAP), and SCI clearance within a reasonable amount of time as determined by the company.

• Willing and able to travel up to 25%.

Preferred Qualifications Both Levels:

• Current active in-scope US Government Top Secret Clearance with Special Program Access.

• Previous project management experience.

• Experience with Tempo, VMetric, or EDCAS in a professional environment.

• Experience with MAAF or LCOM.

• Experience with data mining techniques.

• Relevant experience in adjacent logistics support elements such as Logistics Support Analysis (LSA) & Maintenance Planning, Modeling & Simulation (ModSim), Support Equipment Engineering (SEE), Prognostics & Health Management (PHM), Supportable Low Observables (SLO), Obsolescence Management, Training & Training Systems, Technical Data, Support Hardware, Fleet & Field Support, and Product Support Management.