Experience in R, Python, creating data models using advanced predictive modeling algorithms (e.g. Boosted Trees, k-nearest neighbor, SVM, Random forest, CART, etc.) and working with unstructured data (NLP/ Hadoop/ NoSQL database).
Experience in R/SAS for data cleaning & manipulation
Experience in Claims data processing.
Experience in Statistical Modeling
Qualifications
Bachelor’s degree in Computer Science or related field
Position requires 3 to 5+ years in data anaylastic, Financial Services industry, preferably in Retirement, Investments, or Wealth Management.
Additional Information
Job Status: Permanent
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