The Data Scientist is responsible for conducting undirected research and tackle open-ended data problems and questions. Drawing on an advanced degree in a quantitative field such as computer science, physics, statistics or applied mathematics, the Data Scientist demonstrates the knowledge to invent new algorithms to solve data problems.

• Research and assess next-generation technologies for machinery diagnostics and prognostics and data-driven modeling and optimization of complex systems. Demonstrate advanced working knowledge and experience with machine learning algorithms and population-based meta-heuristic optimization methods.
• Generate innovative ideas, establish new research directions, and shape and execute on technical projects.
• Maintain state-of-the-art knowledge and contribute to technical discussions and reviews as an expert in related areas of responsibility.
• Apply theoretical knowledge to solve industrial problems.
• 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.
• Process large multivariate data sets collected from equipment operations, manufacturing tests and diagnostic routines.
• Communicate ideas, plans and results effectively via oral and written reports.

The compensation and benefits for this role are listed in compliance with applicable law. We are committed to offering fair and competitive pay aligned with each candidate's skills, experience, and qualifications, within the designated salary range for the role. Please note that the listed compensation and benefits apply only to successful candidates hired onto a local United States payroll. The anticipated annual salary range for this position is $ 173,600- $240,000.