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Job Description

Use advanced analytics to evaluate POTFF programs, uncover readiness and human-performance trends, and inform decision-making across the Special Operations enterprise.

Responsibilities

  • Design analytical approaches, data strategies, and measures of effectiveness for POTFF programs and initiatives
  • Acquire, clean, integrate, validate, and document structured and unstructured data from multiple authorized sources
  • Develop statistical, predictive, and machine-learning models to identify trends, risks, relationships, and program outcomes
  • Build and maintain reproducible analyses, dashboards, visualizations, and decision-support products for technical and executive audiences
  • Collaborate with POTFF domain professionals to improve data capture, define meaningful metrics, and evaluate program effectiveness
  • Apply data-governance, privacy, security, quality-control, and version-control practices across the analytics lifecycle
  • Deliver clear briefings, technical reports, and written products covering findings, limitations, and recommendations
  • Mentor analysts and contribute to analytic standards, peer review, and continuous improvement

Requirements

  • Bachelor’s degree in data science, statistics, mathematics, computer science, operations research, engineering, public health, or related quantitative field
  • At least 7 years of relevant analytics experience with a bachelor’s degree, or 5 years with a relevant master’s degree
  • Advanced proficiency with Python or R, SQL, statistical modeling, data visualization, and reproducible analytical workflows
  • Experience developing and validating predictive models, communicating uncertainty, and translating findings for nontechnical decision-makers
  • Experience working with sensitive, health, personnel, readiness, or operational data in a governed environment

Technology Stack

  • Python, R, SQL
  • Power BI, Tableau
  • Git, MLOps
  • Cloud analytics platforms

Education and Preferred Qualifications

  • Graduate degree in a relevant quantitative discipline
  • Experience supporting DoD, USSOCOM, Special Operations, human performance, public health, or program evaluation missions
  • Experience with Power BI or Tableau, cloud analytics platforms, Git, MLOps practices, and secure data environments
  • Knowledge of research design, longitudinal analysis, survey methods, and human-subjects or health-data protections

Work Authorization and Security Clearance

  • Ability to obtain and maintain a Secret or Top-Secret security clearance, depending on the position
  • U.S. citizenship required

Work Environment and Physical Demands

  • Primarily on site in an office and secure information environment
  • Extended computer use; participation in meetings and briefings
  • Occasional travel between supported facilities
  • Reasonable accommodation may be made for qualified individuals

Location

  • Fort Bragg, NC (onsite)

Notes

  • This description is not comprehensive of all activities, duties, or responsibilities
  • Duties may change at any time, with or without notice, based on contract and mission requirements

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