Data Science and Machine LearningExperience using statistical computer languages (R, Python, SLQ, ) to manipulate data and draw insights from large data sets implementing data processing and visualization. Experience working with and creating data architectures.Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks) and their real-world advantages/drawbacks.Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.Excellent written and verbal communication skills for coordinating across teams.Knowledge and experience in statistical and data mining techniques: Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.