Aguadilla, Aguadilla Barrio-Pueblo, Puerto Rico
Collins Aerospace
Jornada completa
Date Posted:
2026-07-21
Country:
United States of America
Location:
US-PR-AGUADILLA-110 ~ Rd 110 N Km 28.8 ~ RD110
Position Role Type:
Hybrid
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:
None/Not Required
At RTX, the world's 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.
Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense.
We are seeking a motivated Data Analytics Engineer with foundational knowledge in Mechanical Engineering and Machine Learning. In this role, you will analyze aircraft services and engineering datasets, uncover performance insights, and develop predictive models that support forecasting, field performance and reliability initiatives.
A solid understanding of mechanical engineering fundamentals will help you interpret technical data and collaborate effectively with subject matter experts. This analytics‑focused role works closely with engineering discipline owners, offering opportunities for professional growth and meaningful contributions to data driven reliability improvements.
This position will sit at our Aguadilla, PR location. You must be residing in Puerto Rico at the time of starting employment. Relocation is not offered.
This role is categorized as hybrid, with 3 days onsite and 2 days remote following the schedule assigned by the Manager.
What YOU will do:
2026-07-21
Country:
United States of America
Location:
US-PR-AGUADILLA-110 ~ Rd 110 N Km 28.8 ~ RD110
Position Role Type:
Hybrid
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:
None/Not Required
At RTX, the world's 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.
Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense.
We are seeking a motivated Data Analytics Engineer with foundational knowledge in Mechanical Engineering and Machine Learning. In this role, you will analyze aircraft services and engineering datasets, uncover performance insights, and develop predictive models that support forecasting, field performance and reliability initiatives.
A solid understanding of mechanical engineering fundamentals will help you interpret technical data and collaborate effectively with subject matter experts. This analytics‑focused role works closely with engineering discipline owners, offering opportunities for professional growth and meaningful contributions to data driven reliability improvements.
This position will sit at our Aguadilla, PR location. You must be residing in Puerto Rico at the time of starting employment. Relocation is not offered.
This role is categorized as hybrid, with 3 days onsite and 2 days remote following the schedule assigned by the Manager.
What YOU will do:
- Analyze engineering and aircraft performance datasets to generate actionable insights for product performance and reliability.
- Perform data curation, cleaning, integration, and preparation for analytics, modeling, and machine learning workflows.
- Work with strain gauge, structural, thermal, and flight/aircraft data to extract features, identify trends, and detect anomalies or predictive indicators.
- Develop, train, and validate machine learning (ML) models (e.g., supervised learning, unsupervised learning, clustering, anomaly detection) for applications such as predictive maintenance, service interval estimation, and performance forecasting.
- Define validation methods, acceptance criteria, and performance metrics for analytical and predictive models.
- Generate data-driven insights and recommendations for design, reliability, service engineering, and customer support teams.
- Conduct statistical analyses to evaluate the quality and completeness of engineering or enterprise data.
- Collaborate with engineering teams to support investigations and continuous improvement initiatives using enterprise data resources.
- Prepare technical documentation, presentations, and reports for both technical and non-technical audiences.
- Occasionally travel domestically and/or internationally to support project requirements.
- You will learn about our growing engineering team in Puerto Rico; What we do? Who we support? How we work?
- You will learn the technologies of today and tomorrow which we count on to maintain world leadership in the aerospace industry.
- You will learn why people enjoy and feel fulfilled by working in our industry.
- Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and 2 years prior relevant experience or an Advanced Degree in a related field.
- Demonstrated professional experience communicating in English (verbal and written).
- U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
- Experience in data analytics workflo
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