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growth. The ideal candidate will have a graduate degree and between 5 - 10 years of experience in predictive modeling or marketing analytics. Candidates will need to have excellent communication skills as you will be required to interact with marketing, finance and other internal partners to provide and explain high-quality statistical models. Candidates passionate about data science and "telling a story" are welcome to apply!
Graduate degree in a quantitative field preferred
4 years of experience in predictive modeling
4 years of experience using SAS or other statistical programming languages
Experience with machine learning, multivariate statistical analysis, cluster analysis, decision trees, predictive modeling, data mining
Extensive research experience
Proven ability to analyze and interpret large sets of data
Knowledge of web data and web analytics tools
Digital acquisition experience within the financial services industry preferred but not required