MUST HAVE SKILLS Experience with data mining techniques such as scenario modeling, pattern detection, AB testing, nearest neighbor, cluster analysis, sentiment analysis, decision trees, optimization, simulation, regression analysis, deep learning and other types of analysis Applied knowledge of Splunk, SPL and anomaly detection and visualization development. Applied knowledge of visualization tools like Tableau. Familiarity with AWS and distributed data processing systems Fluency with Python, R , Pytorch and Deep Learning techniques like TensorFlow Experience working with large lsquoBig Datarsquo data sets and distributed computing tools a plus (MapReduce, Hadoop, Hive, Spark, etc.) Evaluates and uses algorithms for Natural Language Process (NLP), Artificial Intelligence (AI), and Machine Learning (ML). Superior written and oral communication skills. 4-10 years of experience.