Modeling & Simulation Analyst

AERMOR LLC

• $70K — $95K *
Norfolk, VA 23503In-Person
Aerospace & Defense
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in Statistics, Mathematics, Engineering, Operations Research, Physical Sciences, or related field.
  • Experience in statistical analysis for testing and system evaluation.
  • Familiarity with tools like JMP, R, MATLAB, SAS, or Design-Expert for statistical analyses.
  • Experience with Modeling & Simulation Verification, Validation, and Accreditation (VV&A) activities.
  • Strong analytical, problem-solving, and technical writing skills.
  • Proficiency in Microsoft Office Suite.

Responsibilities

  • Support Mission Based Test Design (MBTD) activities with analysis and design.
  • Analyze operational and simulation data for system performance assessment.
  • Develop and evaluate statistical test designs.
  • Carry out statistical analyses like hypothesis testing and regression modeling.
  • Contribute to Verification, Validation, and Accreditation (VV&A) for simulation tools.
  • Review V&V plans and reports for accreditation data sufficiency.
  • Collaborate with stakeholders for test planning and execution.

Benefits

  • Full-time employment status.
  • Opportunity to work in a government-focused environment.
  • Engagement in meaningful defense and military programs.
Full Job Description
Location: Norfolk, VA
Employment Type: Full-Time
Clearance: Active Secret Clearance

Responsibilities
  • Support Mission Based Test Design (MBTD) activities, including mission and requirements analysis.
  • Analyze operational and simulation data to assess system performance and support test objectives.
  • Support the development and evaluation of statistical test designs.
  • Perform statistical analyses, including hypothesis testing, regression modeling, and other analytical techniques.
  • Support Verification, Validation, and Accreditation (VV&A) efforts for Modeling & Simulation tools and systems.
  • Review V&V plans and reports to determine whether simulation data is sufficient to support accreditation decisions.
  • Develop M&S Accreditation Plans and supporting documentation.
  • Identify critical measures, response variables, and operational conditions that support testing objectives.
  • Collaborate with government stakeholders and technical teams to support test planning and execution.
  • Prepare technical reports, analyses, and briefings for program stakeholders.

Required Qualifications
  • Bachelor's degree in Statistics, Mathematics, Engineering, Operations Research, Physical Sciences, or a related technical field.
  • Experience applying statistical analysis methods to testing, experimentation, system evaluation, or operational analysis efforts.
  • Experience performing statistical analyses using techniques such as hypothesis testing, regression analysis, or predictive modeling.
  • Experience using one or more statistical analysis tools such as JMP, R, MATLAB, SAS, or Design-Expert.
  • Experience supporting Modeling & Simulation Verification, Validation, and Accreditation (VV&A) activities.
  • Strong analytical and problem-solving skills.
  • Strong technical writing and communication skills.
  • Proficiency with Microsoft Office applications, including Word, Excel, and PowerPoint.
  • Ability to work effectively with government, military, and contractor personnel.

Preferred Qualifications
  • Experience developing or supporting Design of Experiments (DOE) methodologies.
  • Experience supporting Department of Defense (DoD) test and evaluation programs, including Developmental Test (DT), Operational Test (OT), or Contractor Test (CT) activities.
  • Familiarity with Navy acquisition processes and operational testing organizations.
  • Knowledge of Mission Based Test Design (MBTD) methodologies.
  • Experience with Navy operations, tactical systems, or military mission analysis.
  • Experience developing automated data analysis scripts, workflows, or database-driven reporting solutions.
  • Familiarity with advanced statistical techniques such as mixed models, penalized regression, logistic regression, recursive partitioning, or machine learning approaches.
* Ladders Estimates

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