With approximately 1,300 boutiques and outlets throughout the U.S., as well as an online presence for each of our brands, it takes sophisticated technology, resources and infrastructure to ensure the continued success of our businesses. This role requires strong data modeling and analytical capabilities to drive sizable, complex, cross functional results. Partners with IT and other ‘analytics’ areas to develop and progress Customer Data Strategy, including best in class processes and techniques to leverage data science across MetLife. Bachelor’s degree preferred, in Statistics, Economics, Analytics, Industrial-Organizational Psychology, Engineering, Mathematics, Computer Science, Information Technology or related field; Master’s Degree preferred 7+ years of experience manipulating data sets, Analytics or data science with an emphasis in customer analytics, marketing analytics, inventory analysis and planning/predictive tools. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
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