Job Summary

A company is looking for a Predictive Modeler with expertise in PySpark and SAS.

Key Responsibilities:

• Data mining and obtaining raw data from healthcare clients, as well as external subscription data
• Conducting data analysis to clean up, massage and manipulate data sets using SQL Syntax, and Python tools (Pandas / SciKit, R)
• Developing a variety of multivariate predictive models including propensity score, random tree, linear & logistic regression in order to predict customer behaviors

Required Qualifications:

• Bachelor Degree in Statistics, Applied Mathematics or Data Science. Masters Degree preferred
• Minimum 5 years experience in Predictive Modeling
• Experienced in regression, binary classification, multiclass classification, Random Forest, Naive Bayes, Decision Tree, etc
• 3+ years of PySpark experience
• 2-3+ years of SAS experience