Senior Data Scientist – Engine Diagnostics & Health

Pratt & Whitney; East Hartford (CT); On-site; USD 87,000 - 165,000; Full time

Benefits offered by this job

Benefits

Relocation Assistance

Job summary

Pratt & Whitney invites applications for a Senior Data Scientist in East Hartford to develop diagnostics, prognostics, and engine health analytics for commercial fleet operations. The role demands strong statistics, ML, Python proficiency, and collaboration with cross-functional teams.

The position is onsite at the East Hartford facility, with responsibilities spanning modeling, validation, deployment, and lifecycle management of analytics while supporting fleet reliability and performance.

Qualifications

• Bachelor's degree in STEM and 5+ years of relevant experience, or an advanced degree with 3+ years.
• Strong foundation in statistics and machine learning for diagnostics and prognostics.

Responsibilities

• Develop advanced analytics using statistical modeling, physics-informed approaches, ML, and AI on fleet data.
• Solve challenging analytical problems from concept through validation and deployment.
• Define and advance analytic methods, modeling standards, validation practices, and best practices.
• Collaborate across multidisciplinary teams to align analytics with engine physics and customer needs.
• Ensure analytics meet accuracy, robustness, and reliability, with continuous monitoring.
• Contribute to long-term data science strategy and roadmap for Commercial DPHM.

Skills

Statistics & ML

Python

Time series analysis

MLOps

Cloud analytics

Education

Bachelor’s degree in STEM

Tools

Python

Job description

Pratt & Whitney invites applications for a Senior Data Scientist in East Hartford to develop diagnostics, prognostics, and engine health analytics for commercial fleet operations. The role demands strong statistics, ML, Python proficiency, and collaboration with cross-functional teams.

The position is onsite at the East Hartford facility, with responsibilities spanning modeling, validation, deployment, and lifecycle management of analytics while supporting fleet reliability and performance.