Data Science Sr. Principal Engineer – Commercial DPHM P5; Onsite

Data Science Technical Team Lead

Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense.

What You Will Do:

Control & Diagnostic Systems (CDS) is a dynamic engineering organization focused on the development and certification of military and commercial and industrial gas turbine engine control, and diagnostic systems. CDS is responsible for all aspects of Pratt & Whitney engine control and diagnostic system development including requirements analysis & definition, system & software architecture, algorithm design, and product software design, verification & validation.

We integrate the control and diagnostic system design across other engine system modules and with the air vehicles and provide support throughout the complete engine product life cycle.

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 Data Science Technical Team Lead to guide the development of advanced diagnostics, prognostics, and engine health monitoring analytics supporting commercial fleet operations. This leader will drive technical direction, mentor a multidisciplinary data science team, and help shape the next generation of commercial health monitoring capabilities.

This role provides technical leadership in designing robust analytics, data science, machine learning, and AI solutions to solve complex engine‑health and physics‑based problems.

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.

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 You Must Have:

• Bachelors' Degree 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.

What We Offer:

• Benefits
• Relocation Assistance