Prior work experience must include Programming experience in SQL, Git, R, Python, and SAS; Using advanced modeling techniques including generalized linear models, time series analysis, and Bayesian data analysis; Using machine learning techniques including KNN, Nave Bayes, and decision trees; Using data analysis and business intelligence tools including Excel and Power BI for statistical analysis; Using cloud platform tools; and, exposure to U.S. insurance industry. May work remotely, but candidate must be able to report to Princeton, NJ office at least once per week.

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