Excellent understanding of machine learning techniques and algorithms, such as kNN, Naive Bayes, SVM, Random Forests, etc.Experience with common data science toolkits, such as R, Weka, NumPy, Spark MLLIB, H2O.ai etc.Good scripting and programming skills in one or more language like R, Python etc. Good practical knowledge in machine learning algorithims Proficiency in using query languages such as SQL, Hive, Pig Experience with NoSQL databases, such as MongoDB, Cassandra, HBase as well as graph databases such as Neo4jGood applied statistics skills, such as distributions, statistical testing, regression, etc.Experience in at least one foundational language such as C++ or Java
