Principal Data Scientist Digital MRO (On Site)
East Hartford, CT - USA
Job Summary
Date Posted:
Country:
United States of AmericaLocation:
US-CT-EAST HARTFORD-ETC 400 Main St BLDG ETCPosition Role Type:
OnsiteU.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 worlds 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.
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:
- Bachelors 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 role types to help you understand how you willoperatein 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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