Employer will accept any suitable combination of education, training or experience.br br Continuation from SECTION H 8 Masters degree in Statistics. Analytics, Data Science, Engineering any, or a closely related technical field of study and 3 years of experience in the job offered or 3 years of experience in business intelligence, statistical analysis, or a closely related quantitative occupation; OR a Bachelors degree in Statistics, Analytics, Data Science, Engineering any, or a closely related technical field of study and 5 years of experience in the job offered or 5 years of experience in business intelligence, statistical analysis, or a closely related quantitative occupation, in lieu of a Ph.D. degree.br br Requires experience with visualization libraries and tools like matplotlib, d3.js, Tableau. Power BI; building machine learning models from the ground up using Python and R. SAS. and SPSS, and Spark; Data Visualization using Tableau and Power BI; tools including Azure, SQL, Stata Computer. timeseries; Application Probability, Regression Analysis, mathematical statistics, Stochastic Process, and numerical analysis; supervised and unsupervised Machine Learning; optimization and analytics including optimization software to apply integer programming, mixedinteger programming, nonlinear programming and stochastic optimization; deep learning models for drive failure predictions and driver recommendations; machine learning models nonlinear regression and clustering for long term demand forecast; and Neural Networks LSTM application on service parts demand forecast. Experience may be concurrently gained during graduate level coursework, internship, coop, or researchteaching assistant.
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