Uses predictive modeling, statistics, Artificial Intelligence, Natural Language Processing, Model-based reasoning, Supervised and Unsupervised Learning, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from structured and unstructured data. Develops analytical models, algorithms and applications to apply AI technologies and mathematics to data, perform large scale experimentation and build models to learn and develop data intelligence, solve a variety of business problems and enable business strategy. Assists business with casual inferences; observations with finding patterns, relationships in information. Typically requires expertise in AI technologies, analytical modeling, data analytics, relational database structures, research methods, NLP, machine learning, Cloud based technologies, Big Data technologies (i.e. Hadoop , HBase, Lucene/Solr), analytics packages (i.e. R, Mahout, Matlab, Octave, Weka), scripting languages (i.e. Python, Perl), programing languages (i.e. Java, C/C++, SQL).
Must possess these minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.