Principal Operations Research Analyst

KBR, Inc.

Hawaii

On-site

USD 140,000 - 190,000

Full time

13 days ago

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Job summary

KBR, Inc. seeks a Principal Operations Research Analyst/Modeler in Hawaii to lead combat modeling, simulation, and analysis efforts for USPACOM and related DoW initiatives. You will design experiments, analyze outputs, and produce actionable briefs for senior stakeholders.

Collaborate with multidisciplinary teams, maintain reusable model components, and document methodologies while working on-site in Hawaii with some travel. Strong leadership and MBSE familiarity are essential.

Qualifications

  • Bachelor’s degree in OR/Math/Data Science with 10+ years of relevant experience.
  • Strong knowledge of simulation analysis and experiment design techniques.
  • Proficiency in R, MATLAB, Python, and JupyterLab/Notebook.
  • Experience with combat modeling frameworks such as AFSIM, SAFE-SiM, or NGTS.
  • Demonstrated technical leadership and MBSE diagram familiarity.
  • Ability to work with DoW/USPACOM stakeholders and cross-functional teams.

Responsibilities

  • Lead or support mission-level analytical studies for decision makers.
  • Design experiments, define metrics, and analyze simulation outputs.
  • Conduct pre- and post-simulation analyses as needed.
  • Collaborate with military SMEs and distributed teams to refine models.
  • Develop reusable model components and maintain documentation.
  • Produce high-impact deliverables for senior DoW stakeholders.

Skills

Operations Research
Simulation analysis
Experiment design
Technical leadership
MBSE diagrams

Education

Bachelor’s degree in OR/Math/Data Science

Tools

R
MATLAB
Python
JupyterLab
AFSIM

Job description

KBR is seeking a highly skilled and experienced Principal Operations Research Analyst/Modeler with a strong background in combat modeling, simulation, and 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

Qualifications:

Required:

  • 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, JupyterLab 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
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