Senior Data Scientist — Engine Diagnostics Analytics

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

Benefits offered by this job

Benefits

Relocation Assistance

Job summary

RTX’s Pratt & Whitney division in East Hartford is seeking a Senior Data Scientist to develop advanced diagnostics, prognostics, and engine health monitoring analytics for commercial fleet operations. You’ll work within the CDS/DPHM teams to apply statistics, ML/AI, and physics-informed methods to real-world engine data.

The role emphasizes collaboration with multi-disciplinary teams, model validation, and deployment to production cloud or on-premises environments, with an onsite work

Qualifications

• Bachelor’s degree in Science, Technology, Engineering or Mathematics (STEM).
• 5 years’ prior relevant experience or an advanced degree in a related field with 3 years’ prior relevant experience.

Responsibilities

• Develop advanced analytics using statistical modeling, physics‑informed approaches, machine learning, and AI applied to operational fleet data.
• Solve 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.
• 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 data science strategy, capability development, and roadmap planning for Commercial DPHM.

Skills

Statistics & ML

Python

Time series

MLOps

Cloud deployment

ML libraries

Education

Bachelor’s degree in STEM

Tools

NumPy/Pandas

Job description

RTX’s Pratt & Whitney division in East Hartford is seeking a Senior Data Scientist to develop advanced diagnostics, prognostics, and engine health monitoring analytics for commercial fleet operations. You’ll work within the CDS/DPHM teams to apply statistics, ML/AI, and physics-informed methods to real-world engine data.

The role emphasizes collaboration with multi-disciplinary teams, model validation, and deployment to production cloud or on-premises environments, with an onsite work