Operations Research Analyst

D&G is seeking an Operations Research Analyst to support Federal Government clients by designing, executing, and interpreting mission-level modeling and simulation for complex logistics challenges. The role develops rigorous simulation scenarios for traditional heavy cargo and unmanned aerial cargo concepts, evaluates operational trade-offs, stress-tests network assumptions, and translates quantitative results into actionable capability gaps and ROI insights. The analyst will combine technical modeling skills with defense logistics knowledge to help government stakeholders understand where and when alternative logistics concepts provide operational value.

Responsibilities

• Design and execute modeling and simulation algorithms or tools in support of logistics use cases, with a specific focus on heavy airlift cargo and Unmanned Aerial Systems (UAS) cargo requirements.
• Develop and execute credible, repeatable simulation scenarios that directly address defined logistics use cases and decision questions.
• Conduct comparative trade-space analyses between manned and unmanned platform capabilities.
• Evaluate variables including payload capacity, runway independence, turnaround times, and overall network throughput.
• Design and execute sensitivity analyses and constraint testing to identify operational vulnerabilities and tipping points.
• Assess conditions such as degraded communications and denied runways to determine when UAS platforms gain or lose operational advantage.
• Synthesize raw simulation outputs and analytical metrics into actionable operational insights.
• Identify capability gaps and develop return-on-investment (ROI) narratives for government stakeholders.
• Translate complex quantitative findings into decision-ready analytical products that clearly connect model outputs to mission impact.

Requirements

• Bachelor's degree from an accredited university in Operations Research, Mathematics, or a closely related quantitative field.
• 8+ years of experience in defense operations research, military logistics analysis, or mission-level modeling and simulation.
• Proficiency in Python and SQL.
• Strong experience with discrete-event and/or agent-based simulation packages.
• Experience presenting modeling and simulation results, capability gaps, or ROI analyses to Federal Government stakeholders.
• Deep understanding of modeling and simulation as applied to logistics concepts and operational decision-making.

Nice to have

• Experience modeling transportation, distribution, cargo, or contested logistics networks.
• Experience analyzing manned and unmanned aerial logistics concepts or platform alternatives.
• Master's degree in operations research, Mathematics, Systems Engineering, Data Science, or a related quantitative discipline.

Benefits

• Competitive salary | Benefits | 401(k) | Bonus and profit sharing | Flexible hours | Education reimbursement | PTO