Engineer II, Data Analytics & Machine Learning (Hybrid - Aguadilla, PR)

Analyze aircraft services and engineering datasets to uncover performance insights and build predictive machine learning models that support forecasting, field performance, and reliability initiatives. You’ll curate, clean, integrate, and prepare data; extract features from strain gauge and structural/thermal/flight signals; and define validation and performance metrics. Partner with engineering teams to deliver data-driven recommendations and communicate results through documentation, presentations, and reports.