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Senior Data Scientist, Training Aircraft Readiness (4762)

SMX

$105,200 - $175,300
Oct 20, 2025
Remote, US
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SMX is looking to solve the business problem of supporting the Naval Undergraduate Flight Training Systems Program Office (PMA 273) at Patuxent River Naval Air Station in Lexington Park, MD, by managing the aircraft, simulators, and associated systems that support the U.S. Navy’s undergraduate pilot training pipeline.

Requirements

  • Proficiency in analyzing and extracting data from DoD aviation maintenance and logistics systems (e.g., NALDA, OOMA, DECKPLATE).
  • Experience working with aircraft maintenance, logistics, and readiness data to evaluate fleet performance and operational availability.
  • Knowledge of DoD aviation maintenance processes, readiness metrics (Full-Mission Capable (FMC) & Mission Capable (MC) rates) and reporting standards.
  • Ability to integrate data across multiple DoD systems to perform trend analysis, predictive maintenance forecasting, and readiness assessments.
  • Familiarity with DoD data governance, security, and compliance requirements, including handling of controlled unclassified information (CUI).
  • Experience building dashboards and readiness reports for senior leadership and program managers within defense organizations.
  • Expertise in applying statistical and analytical methods directly to aircraft sustainment and operational readiness problems.

Responsibilities

  • Lead advanced training aircraft readiness analysis, applying statistical modeling, predictive analytics, and readiness metrics evaluation to identify trends, assess training aircraft readiness performance, and provide actionable insights that improve mission availability.
  • Provide high-level subject matter expertise, analysis, and technical guidance to support project execution.

Other

  • Clearance Required: Secret
  • A Management, Technical or Scientific master's degree from an accredited college or university is required.
  • Must have at least ten (10) years of recent and relevant experience in an engineering or operations analysis position, three (3) of which must be directly related to DoD systems
  • Must have demonstrated experience in area of engineering expertise.
  • Selected applicant may be subject to a background investigation and/or education verification.