Senior Data Analytics & ML Engineer - Hybrid (Aviation)

Collins Aerospace; Aguadilla (PR); Hybrid; USD 130,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Three weeks of vacation

Generous 401(k) with employer match

Employee Scholar Program (ESP)

Job summary

Collins Aerospace, Puerto Rico GETC-PR, seeks a Principal Engineer with advanced data analytics and ML skills to lead mechanical and analytics developments across aircraft datasets. You will extract actionable insights, develop predictive models, and drive initiatives for field performance and reliability.

The role requires strong mechanical engineering knowledge, mentoring responsibilities, and collaboration with cross‑functional teams, with a hybrid schedule (3 onsite, 2 remote) in Aguadilla,

Qualifications

• Requires STEM degree and 8 years of experience or an advanced degree with 5+ years of experience.
• “Proven ability to communicate in English (verbal and written).”
• “U.S. citizenship is required to access information.”

Responsibilities

• Lead analysis of engineering and aircraft performance datasets to deliver insights improving product reliability.
• Develop, train, and validate ML models for predictive maintenance and performance forecasting.
• Mentor junior engineers and promote best practices in data analytics and ML workflows.

Skills

Data analytics

Machine learning

Mechanical engineering

Education

Bachelor's or Advanced degree in Mechanical/Aerospace/Data Science

Tools

Python

SQL

Tableau/Power BI

TensorFlow/Scikit-learn

Job description

Collins Aerospace, Puerto Rico GETC-PR, seeks a Principal Engineer with advanced data analytics and ML skills to lead mechanical and analytics developments across aircraft datasets. You will extract actionable insights, develop predictive models, and drive initiatives for field performance and reliability.

The role requires strong mechanical engineering knowledge, mentoring responsibilities, and collaboration with cross‑functional teams, with a hybrid schedule (3 onsite, 2 remote) in Aguadilla,