ASE Methods Data Science & Analytics Principal Engineer (Onsite)

Date Posted:

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 185000 great minds are united by purpose and inspired to make a difference solving the worlds 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 this role youll 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 ASEs 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:

• Bachelors 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. Weve 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 employees personal responsibility.

As part of our commitment to maintaining a secure hiring process candidates may be asked to attendselect 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 107500 USD - 204500 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 candidates 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 companys 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.

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