Data Science Team Lead - Sr. Principal Engineer – Commercial DPHM P5; Onsite
Listed on 2026-07-20
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Location:
US-CT-EAST HARTFORD-ETC ~ 400 Main St ~ BLDG ETC
Date Posted:
Country:
United States of America
Position Role Type:
Onsite
Security Clearance:
None/Not Required
Control & Diagnostic Systems (CDS) is a dynamic engineering organization focused on the development and certification of military, 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, system & software architecture, algorithm design, product software design, verification, and validation. 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.
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.
- Bachelor’s Degree in Science, Technology, Engineering or Mathematics (STEM)
- 10 years of engineering experience or an advanced degree with 7 years of prior engineering experience
- Expertise in a variety of statistics, data science, machine learning, and AI techniques.
- Experience 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.
- Benefits package including 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, and holidays.
- Relocation assistance.
- Salary range: $132,400 – $251,600 USD (good faith estimate; may vary based on experience).
This role is a U.S.
-based role. RTX anticipates the application window closing approximately 40 days from the date the notice was posted.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.
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