Data Scientist

Job Description:

Conduct undirected research and tackle open-ended data problems and questions. 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 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.

Minimum Education & Experience Requirements:

Must have a Master’s Degree, or foreign educational equivalent, in Computer Science, Management Information Systems, or other closely related IT field. Must have 4 years of postbaccalaureate experience as a Software Engineer, Developer, Data Analyst or a closely related IT role. The 4 years of experience must include experience with AngularJS; Typescript; Python; Plotly; Linux; Perl; Flask; API; SQL; Anova (Analysis of Variance); Regression and Correlation Analysis; Exponential Smoothing; Tableau; ETL; Data Visualization (Dash); Microservices; and Git.