Data Science & Analytics Principal Engineer (Remote)

Date Posted:

2025-02-17

Country:

United States of America

Location:

PW208: Connecticut Remote Remote Location , Remote City, CT, 06035 USA

Position Role Type:

Hybrid

Pratt & Whitney is working to once again transform the future of flight—designing, building and servicing engines unlike any the world has ever seen. And because transformation begins from within, we’re seeking the people to drive it. So, calling all curious. 

Come ready to explore and you’ll find a place where your talent takes flight—beyond the borders of title, a country or your comfort zone. Bring your passion and commitment and we’ll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that’s evolving fast to the future.

At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond?

What You Will Do:

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.

• 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

Qualifications You Must Have:

• Bachelor's degree in Engineering with 8+ years’ experience or a Master's degree in Engineering with a minimum of 5+ years of experience
• 3+ years’ experience building machine learning/statistical models
• US Citizenship required due to government contracts

Qualifications We Prefer:

• Advanced degree in Data Science, Engineering, Software Engineering or Computer Science
• Experience with Databricks
• Experience developing in Python
• 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:

Remote: Employees who are working in Remote roles will work primarily offsite (from home). 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.

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.

The salary range for this role is 101,000 USD - 203,000 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, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.

Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms

Apply