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PySpark SAS Predictive Modeler
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
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