Senior Data Scientist P3

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

Benefits offered by this job

Relocation Assistance

Medical/Dental/Vision

401(k) match

Flexible schedules

Paid time off

Job summary

Pratt & Whitney is hiring a Senior Data Scientist (onsite) to build advanced diagnostics, prognostics, and engine health monitoring analytics for commercial fleet operations. You will develop analytics using statistical modeling, physics-informed approaches, machine learning, and AI applied to engine data, with responsibilities from concept through validation and deployment.

The role is based onsite at the East Hartford facility in Connecticut.

Qualifications

• Bachelor’s degree in STEM (Science, Technology, Engineering, or Mathematics).
• 5 years of prior relevant experience, or an advanced degree with 3 years of prior relevant experience.
• Expertise across a variety of statistics, data science, machine learning, and AI techniques.
• Expertise with Python and core data science libraries.

Responsibilities

• Develop advanced analytics using statistical modeling, physics-informed approaches, machine learning, and AI applied to operational fleet data.
• Address complex analytical problems from concept through validation and deployment.
• Define and advance analytic methods, modeling standards, validation practices, and technical best practices across the CDSH data science team.
• Collaborate with multidisciplinary teams to align analytics with engine physics, system behavior, and customer needs.
• Ensure deployed analytics meet targets for accuracy, robustness, and reliability, including continuous performance monitoring and improvement.
• Support long-term data science strategy through capability development and roadmap planning for Commercial DPHM.

Skills

Statistics

Data science

Machine learning

AI

Python

CI/CD

Education

Bachelor’s degree in STEM

Tools

Python

CI/CD

Job description

Pratt & Whitney is hiring a Senior Data Scientist (onsite) to build advanced diagnostics, prognostics, and engine health monitoring analytics for commercial fleet operations.

Responsibilities

• Develop advanced analytics using statistical modeling, physics-informed approaches, machine learning, and AI applied to operational fleet data
• Address complex analytical problems, taking 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 with multidisciplinary teams to align analytics with engine physics, system behavior, and customer needs
• Ensure deployed analytics meet targets for accuracy, robustness, and reliability, including continuous performance monitoring and improvement
• Support long-term data science strategy through capability development and roadmap planning for Commercial DPHM

What You Will Do (DPHM / CDS context)

• Work within Controls & Diagnostics Systems (CDS), which handles requirements analysis and definition, system and software architecture, algorithm design, and product software design, plus verification and validation
• Contribute to the Diagnostics, Prognostics & Health Management (DPHM) discipline by supporting systems that ingest and process engine data, enable secure and efficient access, and produce insights and alerts for fleet reliability and efficiency
• Develop advanced diagnostics, prognostics, and engine health monitoring analytics supporting commercial fleet operations
• Perform the role onsite at the P&W East Hartford facility

Requirements

• Bachelor’s degree in STEM (Science, Technology, Engineering, or Mathematics)
• 5 years of prior relevant experience, or an advanced degree in a related field with 3 years prior relevant experience
• Expertise across a variety of statistics, data science, machine learning, and AI techniques
• Expertise with Python and core data science/modeling libraries

Qualifications We Prefer

• Experience developing analytics for operational, real-world, or safety-critical applications
• Expertise analyzing, modeling, and interpreting time series data
• Experience with MLOps practices, including model versioning, automated testing, CI/CD for analytics, and model lifecycle management
• Experience deploying to cloud-based applications

Technology

• Python
• CI/CD

Role Type and Location

• Onsite role (employees work primarily onsite)
• Primarily located at the assigned site; commuting is the employee’s personal responsibility for onsite and hybrid roles
• Location: East Hartford, CT, United States of America (onsite), ~ 400 Main St, BLDG ETC

U.S. Person Requirement

• Job requires a U.S. Person
• A U.S. Person is a lawful permanent resident (8 U.S.C. 1101(a)(20)) or a protected individual (8 U.S.C. 1324b(a)(3))
• U.S. citizens, U.S. nationals, U.S. permanent residents, and individuals granted refugee or asylee status in the U.S. are considered U.S. persons

Security Clearance

• None/Not Required
• Security Clearance Status: Not Required

Compensation

• Salary range: USD 86,800 - 165,200 per year
• U.S.-based role; if residing in a U.S. territory, the appropriate pay structure and benefits will apply

Benefits

• Benefits
• Relocation Assistance
• Medical, dental, vision, life insurance
• Short-term disability and long-term disability
• 401(k) match
• Flexible spending accounts
• Flexible work schedules
• Employee Assistance Program
• Employee Scholar Program
• Parental leave
• Paid time off
• Holidays
• Annual short-term and/or long-term incentive compensation programs

Posting Details

• Date posted: 2026-09-21
• Country: United States of America
• Application window: RTX anticipates closing approximately 40 days from the date the notice was posted (may change based on candidate flow and business necessity)