ability to apply the appropriate advanced mathematics and statistics methods to large data sets, including, but not limited to, regression models (linear, logistic, Bayesian, stepwise, etc.), decision trees, correlation analysis, random forest models, cluster analysis, k-means, sum of squares and time series analysis. Bachelor’s degree in Analytics, Information Technology, Computer Science, Statistics, Data Science, Geographic Information Systems, Engineering, or another analytical discipline from an accredited college or university or its equivalent.