Principal Engineer, Data Analytics and Machine Learning (Hybrid - Aguadilla, PR)
AI summary of the role
Lead data analytics and machine learning initiatives for aircraft services and engineering datasets at Collins Aerospace's Global Engineering & Technology Center in Puerto Rico.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Lead analysis of engineering and aircraft performance datasets to improve product performance and reliability.
- Drive development, training, and validation of ML models for predictive maintenance, service time estimation, and performance forecasting.
- Define and standardize validation approaches and performance metrics for analytical and ML models across programs.
- Mentor junior engineers on data analytics and machine learning methodologies.
What you’ll bring
- Degree in STEM and 8+ years relevant experience (or Advanced Degree with 5+ years).
- Professional experience communicating in English (verbal and written).
- U.S. citizenship required.
- Expertise in data analytics workflows, statistical methods, and engineering data interpretation.
Technologies
Python · NumPy · Pandas · PySpark · TensorFlow · Scikit-learn · SQL · Tableau · Power BI · JIRA · Confluence
About RTX
Builds aerospace systems, jet engines, and defense technologies through Collins, Pratt & Whitney, and Raytheon for commercial aviation, governments, militaries, and allies.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
mechanical and analytics developments analyzing complex aircraft services and engineering datasets. This role entails leveraging expertise in data analytics, machine learning, and mechanical engineering to extract actionable insights, develop predictive models, and lead initiatives that enhance field performance and reliability. The ideal candidate will possess a deep understanding of mechanical engineering principles, such as structural behavior, dynamics, and thermal concepts, to interpret complex datasets and collaborate with subject matter experts. This role will also include mentoring junior engineers, helping establish best practices, and driving strategic initiatives that align with organizational goals, offering opportunities for leadership and high-impact contributions. This position will sit at our Aguadilla, PR location. You must be residing in Puerto Rico at the time of
More from the job description
Date Posted: 2026-05-21 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 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. The Global Engineering & Technology Center in Puerto Rico (GETC-PR) is seeking a seasoned Principal Engineer with advanced skills in Data Analytics and Machine Learning and a strong background in mechanical systems to lead mechanical and analytics developments analyzing complex aircraft services and engineering datasets. This role entails leveraging expertise in data analytics, machine learning, and mechanical engineering to extract actionable insights, develop predictive models, and lead initiatives that enhance field performance and reliability. The ideal candidate will possess a deep understanding of mechanical engineering principles, such as structural behavior, dynamics, and thermal concepts, to interpret co [... source excerpt omitted ...] 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: Lead and oversee the analysis of engineering and aircraft performance datasets, delivering actionable insights to improve product performance and reliability. Drive the development, training, and validation of machine learning (ML) models, with applications including predictive maintenance, service time estimation, and performance forecasting. Define and standardize validation approaches, acceptance criteria, and performance metrics for analytical and ML models across multiple programs. [... source excerpt omitted ...] aircraft data, identifying trends, predictive indicators, and opportunities for system optimization. Lead collaborative efforts with design, reliability, service engineering, and customer support teams to provide data-driven recommendations that enhance product performance and address customer needs. Conduct advanced statistical analyses to assess quality, completeness, and integrity of engineering and enterprise data. Research, evaluate, and implement cutting-edge ML algorithms (e.g., supervised learning, unsupervised learning, clustering, anomaly detection) to solve engineering challenges and improve performance. Represent the organization in executive-level presentations,
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