Principal Data Scientist - Digital MRO (On Site)

Date Posted:

2026-08-13

Country:

United States of America

Location:

US-CT-EAST HARTFORD-ETC ~ 400 Main St ~ BLDG ETC

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance Type:

None/Not Required

Security Clearance Status:

Not Required

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. 

Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense.

What You Will Do:

The Aftermarket & Sustainment Engineering (ASE) Technology organization is seeking a talented Principal Data Scientist to support the Digital Maintenance, Repair, and Overhaul (DMRO) program. This program is empowering teams across the business to make better decisions informed by fielded part inspection data and the application of cutting-edge data and AI/ML technologies.

As a Principal Data Scientist, you will play a key role in developing and delivering game-changing data-centric capabilities and products. You will be responsible for supporting the complete lifecycle of data-driven solutions, from the discovery and connection to cross-functional data sources, Extract-Transform-Load (ETL) workloads for data capture and management, and Analytics and AI/ML product development to discover trends, predict part distress, and maximize business impact for our end users.

• Develop robust and scalable data integration and ETL pipelines to capture aftermarket part-level inspection data and connect to various cross-functional data sources.
• Architect and develop foundational data lake and data warehouse workspaces in partnership with enterprise stakeholders to meet scalability and security requirements.
• Design and build data models and data pipelines to integrate data and deliver curated VAULTIS-compliant data products for the enterprise.
• Define, prototype, test, deploy, and monitor machine learning and statistical models to provide analytic and predictive capabilities for critical engineering use cases.
• Build and maintain Power BI analytics dashboards.
• Explore, prototype, and apply cutting-edge AI technologies, including GenAI/LLM technologies, to transform how our data is captured and utilized.
• Collaborate with the DMRO software development teams to define and deliver end-to-end data-centric products for engineering, including integration of data-based models and analytics in our software applications.
• Collaborate with other team members and key stakeholders to identify product and technology improvement opportunities.

Qualifications You Must Have:

• Bachelor's Degree and 8+ years of exp or an Associates Degree and 10+ years of exp in developing in Python (NumPy, Pandas, scitkit-learn) for statistical or machine learning applications.

Qualifications We Prefer:

• Experience with Databricks
• Experience with database technology such as SQL or NoSQL
• Experience developing PowerBI/Qlik dashboards
• Experience or familiarity with AI/ML technologies, including GenAI/LLMs
• Experience working in an agile environment

Learn More & Apply Now: 

In addition to transforming the future of flight, we are also transforming how and where we work. We’ve introduced role types to help you understand how you will operate in our blended work environment. This role is: 

Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance workers, as they are essential to the development of our engines. 

Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee’s personal responsibility.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to