understanding of principles and knowledge of machine learning tools; scikit-learn;
willingness and skills to conduct collective research work;
programming background in Python, NumPy, SciPy;
programming background in Git;
understanding of SQL and NoSQL databases
Programming background in R, Java, Apache MapReduce, Spark, as well as participation in the Kaggle competition and motivation to develop data analysis in both practical and academic directions will be a plus.