Operations Research Analyst

Radiance TechnologiesDahlgren, VA

About The Position

Radiance Technologies is a 100% employee-owned company known for a workplace culture that values innovation, collaboration, and empowerment. We offer benefits that are second to none—full health, dental, vision, and life insurance, a generous 401(k), educational reimbursement, competitive salaries, and an engaging, team-driven environment where you can thrive. We’re currently seeking an Operations Research Analyst to join our Enhanced Modeling and Simulation (M&S) development team. You’ll work alongside a diverse group of software engineers and data scientists in support of the Joint Warfare Analysis Center and other Department of Defense and Intelligence Community stakeholders.

Requirements

  • Knowledge of developing process analysis methodologies or campaigns
  • Expertise in design of simulation experiments to minimize compute time
  • Experience with the Monte Carlo method, specifically, as applied to computer simulation
  • Experience with Python, R, VBA, or MATLAB preferred
  • Knowledge of designing multi-process analysis campaigns and simulation experiments
  • Strong communication skills to present technical findings clearly and effectively
  • Capacity to work through ambiguity, design experiments with limited data, and reduce concept uncertainty
  • Collaborative mindset with the ability to translate business needs into actionable analytical models
  • Comfortable navigating ambiguity and taking the initiative without waiting for explicit instruction
  • 3+ years of experience in operations research, data analysis, or mathematical modeling
  • Bachelor’s degree in Operations Research or a related field (e.g., mathematics, statistics, computer science, etc)
  • Active TS/SCI clearance

Nice To Haves

  • Prior work with advanced military concepts and technology development
  • Experience with Model-Based Systems Engineering (MBSE)
  • Familiarity with simulation environments and experimental design best practices

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
  • Collaborating with engineers, scientists, and management across domains including defense, energy, health, transportation, and more

Benefits

  • full health, dental, vision, and life insurance
  • a generous 401(k)
  • educational reimbursement
  • competitive salaries
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