Senior Data Scientist P3 (Onsite)

RTXEast Hartford, CT
$86,800 - $165,200Onsite

About The Position

The Diagnostics, Prognostics & Health Management (DPHM) discipline within CDS develops and maintains systems that ingest and process engine data, tools that provide secure and efficient access, and analytics that generate critical insights and alerts to keep the commercial fleet operating reliably and efficiently. Commercial DPHM is seeking a Senior Data Scientist to develop advanced diagnostics, prognostics, and engine health monitoring analytics supporting commercial fleet operations. Success in this role requires expertise in statistics, data science, machine learning, and AI techniques, strong domain understanding, and the ability to collaborate closely with stakeholder teams to ensure models and analytics accurately reflect engine behavior and operational realities. The position is based at the P&W East Hartford facility and is an onsite role.

Requirements

  • Bachelor’s degree in Science, Technology, Engineering or Mathematics (STEM)
  • 5 years’ prior relevant experience or an advanced degree in a related field with 3 years’ prior relevant experience.

Nice To Haves

  • Expertise in a variety of statistics, data science, machine learning, and AI techniques
  • Expertise with Python and core data science/modeling libraries.
  • Experience developing analytics for operational, real-world, or safety-critical applications.
  • Expertise in analyzing, modeling, and interpreting time series data.
  • Experience with MLOps practices, including model versioning, automated testing, CI/CD for analytics, and managing models throughout their lifecycle.
  • Experience deploying to cloud-based applications.

Responsibilities

  • Develop advanced analytics using statistical modeling, physics‑informed approaches, machine learning, and AI applied to operational fleet data.
  • Solve challenging analytical problems, shaping solutions from concept through validation and deployment.
  • Define and advance analytic methods, modeling standards, validation practices, and technical best practices across the Commercial DPHM data science team.
  • Collaborate across multidisciplinary teams to ensure analytics align with engine physics, system behavior, and customer needs.
  • Ensure deployed analytics meet expectations for accuracy, robustness, and reliability, and support continuous performance monitoring and improvement.
  • Contribute to long‑term data science strategy, capability development, and roadmap planning for Commercial DPHM.

Benefits

  • Relocation Assistance
  • medical
  • dental
  • vision
  • life insurance
  • short-term disability
  • long-term disability
  • 401(k) match
  • flexible spending accounts
  • flexible work schedules
  • employee assistance program
  • Employee Scholar Program
  • parental leave
  • paid time off
  • holidays
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