Radiance Technologies is seeking to solve complex decision-making challenges for the Air Force Research Lab client using scientific methods like mathematical modeling, statistics, and algorithm design.
Requirements
- Expertise in designing multi-process analysis campaigns and simulation experiments
- Experience using professional concepts to shape company strategies and solutions
- Ability to independently analyze and interpret complex systems and datasets
- Experience evaluating test results and identifying key system performance indicators
- Capacity to work through ambiguity, design experiments with limited data, and reduce concept uncertainty
- Prior work with advanced military concepts and technology development
- Experience with Model-Based Systems Engineering (MBSE)
Responsibilities
- Designing and executing simulation experiments that minimize compute time and maximize actionable insights
- Applying Monte Carlo methods, statistical techniques, and operational research tools to real-world scenarios
- Modeling systems and operations using Python, R, VBA, or MATLAB (preferred)
- Defining data requirements, analyzing datasets, and building recommendations to inform key strategic decisions
- Validating models and evaluating their effectiveness, adapting as needed to meet evolving goals
- Developing and applying tools such as PERT networks to plan and manage large-scale projects
- Creating detailed, insightful reports and visualizations for leadership and stakeholders
Other
- Strong communication skills to present technical findings clearly and effectively
- Collaborative mindset with the ability to translate business needs into actionable analytical models
- 10+ years of experience in operations research, data analysis, or mathematical modeling
- Master’s degree in Operations Research or a related field (e.g., mathematics, statistics, engineering, or computer science)
- Active TS/SCI clearance
