Requires a Masters degree in Business Analytics or related quantitative disciplines. Requires any amount of experience in all of the following i Diverse statistical and data mining techniques e.g. GLMRegression, Boosting, Random Forest, Trees, Clustering, PCA, SVM, text mining, or social network analysis; ii Proficiency with statistical packages in Spark MLLib, Python, R, or SAS; iii Ability to program in Python, Spark, Scala, R, or SAS; iv Understanding of RDBMs and interactive SQL programming skills; v Experience with Big Data technologies like Hadoop, Spark, Hive, NoSQL, etc., and Cloud technologies AWS or Azure; vi Strong ability to manipulate and analyze complex, highvolume, highdimensionality data from varying sources; and vii Image processing, image segmentation or stochastic image processing. Telecommuting is permitted.
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