Description

WHAT YOU’LL DO

  • Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational value.
  • Works closely with Application Engineering teams to gather and process data, as well as in surfacing various analytically based features in core products
  • Works on new applications of machine learning and analytic technology within Healthcare, producing quantitative, justifiable results to guide feature planning
  • Translates real-world Healthcare problems to mathematical frameworks Works with Product Management, Marketing, and Sales as needed to promote sales and to incorporate market and customer feedback
  • Data exploration, hypothesis creation (from business and product goals), testing algorithms, scaling to large data-sets and validating results will be common tasks for this role
  • Understands, organizes, and communicates succinctly.  Familiarity with various statistical and machine learning techniques including: classification, regression, dimension reduction, clustering, and various multivariate methods
  • Complete familiarity with empirical approaches to estimate performance of machine learning models including:  hold-out sets, cross-validation, leave-one-out testing
  • Demonstrated competency in R/Python predictive modeling

     

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