Defense Logistics & Campaign Modeling Analyst

KBR Careers

Beavercreek (OH)

On-site

USD 70,000 - 110,000

Full time

5 days ago

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Job summary

KBR’s National Security Solutions team is seeking an Entry to Mid-Level Operations Research Analyst to apply operations research methods and mathematical modeling to support decision-making and policy development. Analyze logistics feasibility for munitions and fuels posture and resupply; model and simulate at campaign level to assess new warfighting concepts.

Collaborate with teammates to improve processes, strengthen system performance, and enhance operational effectiveness while pursuing

Qualifications

BA/BS degree in operations research, mathematics, industrial engineering, or a related field.
Fundamental knowledge of applying scientific methods and analytical techniques to systems and software.
Experience with at least one analytical or statistical language/tool (e.g., Python, R, MATLAB, SAS, VBA, Java, SimPy, Simio, Gurobi, and JMP).
Basic experience (coursework, internship, or project-based) developing or utilizing analytical models using Python, R, or C++.
Ability to analyze and interpret problems and recommend effective solutions.
Ability to quickly learn customer missions, systems, and problem domains.
Ability to obtain a DoD Top Secret clearance.

Responsibilities

Apply foundational knowledge of operations research, mathematics, and analytical techniques to support project objectives.
Work with project leads to clarify analytical goals and develop task plans aligned with management priorities.
Collaborate with team members to conduct quantitative and qualitative analyses that inform decision-making.
Contribute to studies that evaluate, improve, and validate decision-analytic models, simulations, and methodologies.
Document analysis using analytical models, simulations, visualizations, or decision-support tools.
Prepare clear, concise briefings, technical papers, and summary reports to communicate findings and recommendations.
Present analytical results, insights, and techniques to customers, project teams, and peers.
Identify opportunities to enhance analytical methods and share creative, well-supported solutions to complex problems.
Participate in brainstorming sessions and contribute new ideas that strengthen project outcomes.
Stay current on emerging analytical tools, modeling techniques, and domain-relevant technologies.
Actively pursue professional development to deepen expertise in operations research, related disciplines, and domain knowledge.