Principal Operations Research Analyst​/Modeler

Title Principal Operations Research Analyst/Modeler K ’s National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country’s most critical role – protecting our national security.

• Innovative Projects: K ’s work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions.
• Collaborative Environment:
  Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace.
• Impactful Work:
  Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of Joint and multi-domain operations.

K  is seeking a highly skilled and experienced Principal Operations Research Analyst/Modeler with a strong background in combat modeling, simulation & analysis (MS&A) to join a dynamic, forward-based team in Hawaii. In this role, you will collaborate with a high-performing, multidisciplinary team of planners, analysts, and technical experts leveraging advanced MS&A tools and techniques to shape and inform Concept Exploration, Course of Action Analysis, and Operational Planning efforts for U.S. Pacific Command (USPACOM), the Department of War (DoW), and other key stakeholders.

This team operates in close coordination with a parent organization located in the National Capital Region (NCR). The ideal candidate shall:

• Lead or support the conduct of mission-level analytical studies for operational- and senior-level military decision makers, technology developers, and acquisition professionals for use in CONOPS development, force structure design, resource allocation, and targeted technology insertion.
• Design experiments, define metrics, and analyze simulation outputs to produce actionable insights.
• Conduct pre- and post-simulation analyses as needed.
• Collaborate directly with military operations subject matter experts, planners, and distributed teams to develop and refine trustworthy, scalable models, behaviors, and scenarios.
• Develop reusable model components and behaviors and maintain clear technical documentation.
• Produce high-impact deliverables (briefings, visualizations, reports) for senior DoW stakeholders.
• Work independently in a forward environment while coordinating with a reach-back team in the NCR.

• Location:
  
  On-site in Hawaii, supporting a mission-critical USPACOM environment
• Travel Requirements:
  Minimal 0-20%, supporting strong work-life balance
• Working Hours:
  
  Standard

• Bachelor’s degree in Operations Research, Applied Mathematics, Data Science, or related STEM discipline with 10+ years of relevant experience
• Strong knowledge of simulation analysis and experiment design & analysis techniques
• High level of proficiency in R, MATLAB, Python, Jupyter Lab and/or Jupyter Notebook
• High level of proficiency in at least one mission-level combat modeling & simulation framework such as AFSIM, SAFE-SiM, or NGTS
• Demonstrated technical leadership or study lead experience
• Competent understanding of model-based systems engineering (MBSE) diagrams and techniques
• Demonstrated ability to work effectively in a small, high-performance team environment
• Strong collaborative skills with experience working in expert-driven, multidisciplinary teams

• Master’s degree in Operations Research, Applied Mathematics, Data Science, or related STEM discipline with 12+ years of relevant experience
• Expert level of proficiency in R, MATLAB, Python, Jupyter Lab and/or Jupyter Notebook
• Expert level of proficiency in at least one mission-level combat modeling & simulation frameworks such as AFSIM, SAFE-SiM, or NGTS
• High level of proficiency in developing and employing MBSE diagrams and techniques

40hrs

Compensation for Hawaii is $158,000-$178,000.

The offered rate will be based on the selected candidate’s knowledge, skills, abilities and/or experience and in consideration of internal parity.