Spherion, in partnership with American Family Insurance, is recruiting for a DIRECT HIRE Statistical Research Scientist!
Candidates with practical modeling experience preferred, some business knowledge (insurance a plus) would be helpful.
Experience in Usage Based Insurance (UBI) or signal processing/machine learning/deep learning a plus.
This position is responsible for producing innovative solutions through the use of advance data analytics from complex and high-dimensional datasets. Works with business partners to understand what the business needs and issues are to address. Applies advanced knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries to meet a variety of business challenges. Designs, develops, and evaluates predictive models and advanced algorithms that lead to business solutions. Conducts complex and vital analytics work critical to the organization. Communicates findings and recommendations to management from across different departments. Supports implementation efforts.
Working hours: M-F 1ST SHIFT
Specialized Knowledge and Skills Requirements
Demonstrated experience providing customer-driven solutions, support or service
Demonstrated experience communicating business implications of complex data relationships and results of statistical models to multiple business partners.
Demonstrated experience extracting, cleansing, combining and manipulating large, and diverse data sources for analysis.
Demonstrated experience formulating, approaching, and solving problems in massive, complex datasets.
Demonstrated experience in managing and leading large complex projects related to analytics.
Demonstrated experience performing advanced statistical analysis, including generalized linear models, decision trees, neural networks, etc., to discover business insights and develop predictive models.
Demonstrated experience with statistical and modeling software tools, such as SAS or R.
MS degree in Mathematics, Statistics, Economics, Engineering Actuarial Science or related field or equivalent designation, such as Fellowship of the Casualty Actuarial Society.
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