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Pratt & Whitney

Senior Data Scientist P3

east hartford, CT

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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:

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)

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Worksite address

east hartford, CT, 06118, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.

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Last received from source 2026-10-10View job