KBR’s National Security Solutions team provides engineering and advanced technology solutions for intelligence and national security communities. The Operations Research Analyst applies operations research methods and mathematical modeling to support decision-making, logistics feasibility studies, and policy development. The role involves data analysis, decision-support tools, model validation, system architecture, technical communication, and software development.
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
Create system designs and architectures that position the team to integrate analytic efforts across functional communities and classes of supply
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
Diagnose complex software issues, develop efficient and scalable code, and implement solutions to maintain model performance and reliability
Qualification
Required
BA/BS degree in operations research, mathematics, industrial engineering, or a related field
At least 2 years of experience applying scientific methods and techniques to analyze systems (e.g., professional work, DoW programs, and national security analytics)
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
Active Secret clearance
Ability to obtain a DoD Top Secret clearance
Preferred
MS degree in operations research, mathematics, industrial engineering, or a related field
4–6 years of experience applying scientific methods and techniques to analyze systems (e.g., professional work, DoD programs, and national security analytics)
Familiarity with DoD systems, weapon subsystem design, or military operations
Proficiency with multiple analytical tools (e.g., Python, R, MATLAB, SAS, VBA, Java, SimPy, Simio, Gurobi, and JMP)
Experience designing and developing analytical models using Python, R, and/or C++
Demonstrated initiative in learning and applying new analytic techniques
Active DoD Secret and/or Top Secret clearance
Experience working in military logistics related fields
Experience in system design and architecture with a focus on developing solutions to integrate modeling and analysis capabilities
Benefit
401K plan with company match
Medical insurance
Dental insurance
Vision insurance
Life insurance
AD&D insurance
Flexible spending account
Disability benefits
Paid time off
Flexible work schedule
Professional training and development to support career advancement
At KBR, we deliver science, technology and engineering solutions that are helping governments and companies around the world take on the great challenges of our time.
