Data Scientist

Responsibilities
Generates innovative ideas, establishs new research directions, and shapes and executes on technical projects.
Maintains state-of-the-art knowledge and contributes to technical discussions and reviews as an expert in related areas of responsibility.
Applies theoretical knowledge to solve industrial problems.
Applies engineering knowledge in developing data-driven algorithms for anomaly detection, failure prediction, and optimization.
Collaborates with field and product engineers to identify key health monitoring parameters of a system.
Processes large multivariate data sets collected from equipment operations, manufacturing tests, and diagnostic routines.
Communicates ideas, plans, and results effectively via oral and written reports.
Works effectively with peers, management, operations groups, and outside organizations.
Qualifications:

PhD in computer science, mathematics, applied statistics, physics, engineering or similar disciplines with demonstrated research capability.
Strong background in the fundamentals of probability, statistics, and data visual.
Must have a strong and fundamental understanding of Object Oriented Software principals and must have practical skills in the use of modern Object Oriented languages like Java, C++ and Javascript.
Must have the ability to mathematically model physical systems and apply mathematical risk based analysis. Must have strong mentoring and teaching skills.

EEO/M/F/V

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