IT-Vice President (Morrisville, NC): Develop machine learning models & software solutions for different business areas. Research statistical white papers & publications for analytical approaches. Write specifications & documentation for developed machine learning models & software solutions. Prepare visualizations by summarizing & translating analytical insights into clear recommendations for technical & non-technical partners. Collaborate with platform architects & provide input to enhance overall machine learning architecture & frameworks to achieve value for customers. Collaborate with platform developers to improve platform performance. Anticipate & conceptualize client analytics needs & support high-value analytical solutions. Identify most suitable & scalable data science & machine learning models for utilization. Develop data science & machine learning models using R & Python. Retrieve data from databases & validate data usability for modeling using SQL & Hive. Support user acceptance testing processes. Work with the Quality Assurance (QA) team on building test strategies & test plan reviews. Apply knowledge of data engineering, data profiling, data mining, data cleaning, & machine learning techniques (linear & logistic regression, clustering, classification, random forests, Naive Bayes, association rules, collaborative filtering, & recommendation techniques). Req’s Master’s degr plus 3 yrs exp or Bachelor’s degr plus 6 yrs exp. Please forward your resume to Credit Suisse, P.O. Box DR-CS-053, 10 Rockefeller Plaza, Suite 1016, New York, NY 10020. No phone calls.