Apply theoretical knowledge to solve industrial problems. Process large multivariate data sets collected from equipment operations, manufacturing tests and diagnostic routines. Apply engineering knowledge in developing data-driven algorithms for anomaly detection, failure prediction and optimization. Collaborate with field and product engineers to identify key health monitoring parameters of a system.