D&I Data Scientist

The Data Scientist is responsible for conducting undirected research and tackling 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.

Responsibilities:

• 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 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.
• 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.
• Communicate ideas, plans, and results effectively via oral and written reports.
• Collaborate with field and product engineers to identify key health monitoring parameters of a system.