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

Job ID: 01845852Posted: Posted 30+ Days AgoStart Date: 2026-05-19Location: US-CT-EAST HARTFORD-ETC ~ 400 Main St ~ BLDG ETCCountry: United States of AmericaTime Type: Full timeDate Posted:2026-05-19Country:United States of AmericaLocation:US-CT-EAST HARTFORD-ETC ~ 400 Main St ~ BLDG ETCPosition Role Type:RemoteU.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 RequiredSecurity Clearance Status: Not RequiredAt 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 makingDefine, prototype, test, deploy and monitor machine learning and statistical models to provide predictions and forecastsBuild Power BI dashboardsMentor and train less experienced team membersUnderstand, explain, and recommend appropriate Machine Learning/Data Analytics methods and software solutionsWork with the app development team to integrate predictive and prescriptive models into our toolsCollaborate with other team members and stakeholders to identify improvement opportunitiesManage time effectively to meet project deadlinesWhat You Will Learn:Experience building end-to-end machine learning solutionsAdvanced skills with modern data engineering and analytics platformsPractical expertise in applying statistical and ML techniques to real business problemsAgile and iterative development practicesSoftware integration and cross-functional collaborationQualifications 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 experience3+ years’ of experience building machine learning/statistical models3+ years' of experience developing in Python10% TravelQualifications We Prefer:Experience with DatabricksExperience developing PowerBI/Qlik dashboardsExperience working in an agile environmentLearn 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, 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