Jobs · Engineering · Connecticut

Data Science Sr. Principal Engineer – Commercial DPHM P5 (Onsite)

Pratt & Whitney · East Hartford, CT · 4 days ago
On-siteEngineeringFull-time

Key Responsibilities

  • Lead development of advanced DPHM analytics using statistical modeling, physics informed approaches, machine learning, and AI applied to operational fleet data.
  • Serve as the primary technical expert for the team’s most 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.
  • Provide technical mentoring, coaching, and review for other data scientists to strengthen overall team capability.
  • 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 analytic strategy, capability development, and roadmap planning for Commercial DPHM.

Qualifications

  • Bachelor's Degree in Science, Technology, Engineering or Mathematics (STEM)
  • 10 years engineering experience or an advanced Degree with 7 years prior engineering experience.

Qualifications We Prefer

  • 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 providing technical guidance or mentorship to other data scientists.
  • Experience deploying to cloud-based applications.
  • Experience deploying to edge compute hardware.
  • Knowledge of gas turbine engines and their operation.
  • Knowledge of and exposure to aerospace control and diagnostic systems.

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