Prior work experience must include Statistical programming in R, Python, and SAS; Programming and data analysis using SQL; Using statistical and machine learning techniques including linear and logistic regression, GLMs, CART, Random Forests, GBMs, Principal Component Analysis, Clustering techniques, and shrinkage techniques including lasso regression; Data wrangling, evaluating data quality, and transforming and cleaning data as appropriate for analysis; and, applying actuarial knowledge to analysis of insurance products pricing and loss mitigation. May work from home but must be able to report to Princeton, NJ office at least once per week. Must travel to Amelia, OH 8 of the time to meet with IT department.

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