Education or experience to includebr 1. Understanding of statistics including descriptive measures of data, probability distributions and hypothesis testsbr 2. Understanding of machine learning techniques including linear and nonlinear regression and classificationbr 3. Understanding of machine learning evaluation including model accuracy, precision, and AUCROC metricsbr 4. Proficiency with relational databases including SQL queries and transformationbr 5. Data visualization proficiency including heatmaps, scatterplots and confusion matrices

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