Essential Job Function:

Applies advanced machine learning-based data mining methods to discover new patterns in claims and care delivery data for the purpose of understanding performance of the organization and the populations that it serves. Creates and oversees predictive models for clinical and financial outcomes and population behaviors. Builds simulation models to assess the range of possible outcomes for strategic and tactical proposals, and to gain an understanding of the sensitivity to associated business levers, prior to implementation. Produces and oversees production of a combination of data mining, predictive modeling, simulation modeling or other quantitative analyses to provide new insights into drivers of clinical risk and financial performance. Produces and oversees production of publication-ready, customer-oriented reports that provide business context for data science-based analysis and recommendations. Represents Enterprise Analytics leadership as a data science expert in business engagements with mid- and senior-level leadership when called upon to do so. Serves as department-wide consultant regarding advanced data mining and predictive modeling methods, as well as application of scientific research principles to knowledge discovery. Provides data science tools and methods mentorship and project leadership to staff at the Data Scientist and Data Scientist - Intermediate levels. Performs other duties as assigned.

Education:

Required:

Bachelor's Degree Experience:

Required:

5 years

Licensure/Certification/Listing:

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