Data Science Team Lead - Sr. Principal Engineer – Commercial DPHM P5 (Onsite)

RTX
Connecticut
Workplace: OnsiteFull timeUSD 132,400 - 251,600Function: Data Science & Machine LearningExperience: 10+ yearsEducation: bachelorsSkills: ["Technical mentoring","Collaboration","Technical leadership","Stewardship of best practices"]

Lead development of advanced diagnostics, prognostics, and engine health monitoring analytics for commercial fleet operations. You’ll guide a multidisciplinary data science team, providing technical direction for statistical, physics-informed, machine learning, and AI approaches applied to real-world engine data. Define analytic methods and validation practices, mentor peers, and collaborate with stakeholders to ensure deployed analytics are accurate, robust, and reliable—supporting long-term roadmap and performance monitoring.

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FursaFursa
RTX
RTX
1 month ago

Data Science Team Lead - Sr. Principal Engineer – Commercial DPHM P5 (Onsite)

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Last checked: 2 days agoStatus: Live

Job Summary

Lead development of advanced diagnostics, prognostics, and engine health monitoring analytics for commercial fleet operations. You’ll guide a multidisciplinary data science team, providing technical direction for statistical, physics-informed, machine learning, and AI approaches applied to real-world engine data. Define analytic methods and validation practices, mentor peers, and collaborate with stakeholders to ensure deployed analytics are accurate, robust, and reliable—supporting long-term roadmap and performance monitoring.
Location: Connecticut
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead development of advanced DPHM analytics using statistical modeling, physics-informed approaches, machine learning, and AI on operational fleet data.
  • •Act as primary technical expert for the team’s most challenging analytical problems 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.
  • •Mentor and coach other data scientists through reviews to strengthen overall team capability.
  • •Collaborate across multidisciplinary teams to ensure analytics align with engine physics, system behavior, and customer needs while supporting performance monitoring and improvement.

Pay and Benefits

Salary: USD 132,400 - 251,600
Perks:Health InsuranceDentalVisionLife Insurance401kRelocationParental LeavePaid Leave

Key Requirements

  • •Bachelors’ degree in STEM with 10 years engineering experience, or an advanced degree with 7 years prior engineering experience.
  • •Expertise in statistics, data science, machine learning, and AI techniques.
  • •Experience developing analytics for operational, real-world, or safety-critical applications.
  • •Experience analyzing, modeling, and interpreting time series data.
  • •Hands-on MLOps practices (model versioning, automated testing, CI/CD for analytics, and managing models across the lifecycle).
Experience:10+ yearsAerospaceGas turbine enginesMachine learningAIDiagnosticsHealth monitoring
Education:Bachelor's
Skills:Technical mentoringCollaborationTechnical leadershipStewardship of best practices
Tech Stack:PythonMLOpsCI/CDCloudEdge computeMachine learningAIStatisticsTime series

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

RTX
Designs, manufactures, and services aerospace and defense systems, including aircraft engines, avionics, aerostructures, missiles, and cybersecurity solutions for commercial, military, and government customers worldwide.
Industry: Aerospace Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Arlington, United States
Founded: 2020
Website