Principal Data Science Lead: Engine Health Analytics

Prattwhitney; East Hartford (CT); On-site; USD 132,400 - 251,600; Full time

Benefits offered by this job

Medical/Dental/Vision

Life Insurance

Disability Insurance

401(k) Match

Flexible schedules

Scholar Program

Relocation assistance

Job summary

Pratt & Whitney in East Hartford, CT seeks a Data Science Technical Team Lead to guide diagnostics and health management analytics for commercial fleet operations. The role requires leadership of a multidisciplinary data science team, expertise in statistics, ML/AI, and the ability to translate engine physics into robust analytics.

On-site position with collaboration across engineering teams. The ideal candidate has a STEM degree with extensive engineering experience and proficiency in Python,

Qualifications

• Must have STEM degree and extensive engineering experience.
• Proficiency in statistics, data science, ML, and AI techniques.
• Experience with Python and core data science libraries.
• Experience deploying analytics to cloud and edge environments.

Responsibilities

• Lead development of advanced DPHM analytics using statistical modeling and ML/AI.
• Serve as the technical expert for complex analytical problems from concept to deployment.
• Define analytic methods, validation practices, and best practices across the team.
• Provide mentoring and review for data scientists to strengthen capability.
• Collaborate with stakeholder teams to align analytics with engine physics and customer needs.
• Ensure analytics meet accuracy, robustness, and reliability expectations.

Skills

Statistics

Data science

Machine learning

AI techniques

Time series analysis

Education

Bachelor's degree in STEM

Advanced degree with 7 years engineering experience

Tools

Python

ML libraries

Cloud deployments

MLOps

CI/CD for analytics

Edge compute hardware

Job description

Pratt & Whitney in East Hartford, CT seeks a Data Science Technical Team Lead to guide diagnostics and health management analytics for commercial fleet operations. The role requires leadership of a multidisciplinary data science team, expertise in statistics, ML/AI, and the ability to translate engine physics into robust analytics.

On-site position with collaboration across engineering teams. The ideal candidate has a STEM degree with extensive engineering experience and proficiency in Python,