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, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments
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, including classification, regression, clustering, and deep learning algorithms. • Statistical Software: Proficiency in statistical software such as SAS, Stata, R or Python, including relevant packages
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to teaching activities by preparing and presenting educational seminars Minimum Qualifications Required Skills: Solid background and working knowledge of computer science fundamentals including algorithms, data
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to teaching activities by preparing and presenting educational seminars Minimum Qualifications Required Skills: Solid background and working knowledge of computer science fundamentals including algorithms, data
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Required Skills: Current or planned MS or PhD student at the University in CS or related field. Solid background and working knowledge of computer science fundamentals including algorithms, data structures