ASE Methods - Data Science & Analytics Principal Engineer (Onsite)

Date Posted:

2026-05-19

Country:

United States of America

Location:

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

Position Role Type:

Remote

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 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.

Aftermarket & Sustainment Engineering (ASE), based in East Hartford Connecticut, is looking for a Data Science & Analytics expert to join our team.

This role will be responsible for the development, deployment, and support of game-changing machine learning and statistical models that provide forecasting, prediction and prescriptive solutions that can be embedded into our software and workflows. In this role, you’ll also perform analytical studies to provide business insight and enable better data-based decisions. These solutions will enable Pratt & Whitney to continually push the state of the art in gas turbine engine repairs and reduce the cost of maintaining our parts, components, and engines.

What You Will Do :

• Leverage ASE’s aftermarket data to provide insights and better decision making
• Define, prototype, test, deploy and monitor machine learning and statistical models to provide predictions and forecasts
• Build Power BI dashboards
• Mentor and train less experienced team members
• Understand, explain, and recommend appropriate Machine Learning/Data Analytics methods and software solutions
• Work with the app development team to integrate predictive and prescriptive models into our tools
• Collaborate with other team members and stakeholders to identify improvement opportunities
• Manage time effectively to meet project deadlines

What You Will Learn:

• Experience building end-to-end machine learning solutions
• Advanced skills with modern data engineering and analytics platforms
• Practical expertise in applying statistical and ML techniques to real business problems
• Agile and iterative development practices
• Software integration and cross-functional collaboration

Qualifications You Must Have:

• Bachelor's degree in Data Science, Engineering, Software Engineering or Computer Science with 8+ years’ experience or a advanced degree with a minimum of 5 years of experience
• 3+ years’ of experience building machine learning/statistical models
• 3+ years' of experience developing in Python
• 10% Travel

Qualifications We Prefer:

• Experience with Databricks
• Experience developing PowerBI/Qlik dashboards
• Experience working in an agile environment

Learn More & Apply Now!

What is my role type?

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 attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role,