Description

You will support the programmatic evaluation and analysis of Combatant Command Test Nominations, conducting quantitative and qualitative analysis to enhance operational decision-making. Your work involves applying statistical methods and modeling techniques to assess joint military operations and improve mission effectiveness, developing data-driven solutions to optimize military operations and strategic planning.

Requirements

• Master's Degree in Operations Research, Mathematics, Statistics, Engineering, or a related technical field
• A Master's Degree in a non-technical field may be substituted with 10+ years of ORSA-related experience in military or government civilian experience
• Alternatively, a Bachelor’s Degree in a technical field with an additional 5 years of ORSA-related experience (totaling 10 years) may also be considered
• Proficiency in statistics, data analysis techniques, computer analysis tools, basic modeling and simulation applications, and human factors analysis
• Experience developing test and evaluation plans (preferred but not required)

Responsibilities

• Conduct quantitative and qualitative analysis to support Joint Test & Evaluation (JT&E) projects and enhance operational decision-making
• Apply statistical methods, modeling & simulation techniques, and operations research methodologies to assess joint military operations and improve mission effectiveness
• Develop and implement data-driven solutions to optimize military operations, force readiness, and strategic planning
• Utilize computer-based analytical tools to evaluate operational performance and identify areas for improvement
• Identify risks, limitations, and operational challenges in joint military environments and recommend analytical solutions
• Applying process modeling and analytical techniques to identify operational challenges and develop effective solutions
• Conducting problem decomposition, concept development, and data-driven analysis to support joint military operations
• Providing parametric and non-parametric statistics, data analysis techniques, computer analysis tools, basic modeling and simulation applications, and survey test and evaluation methods