Job DescriptionWe are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our productsKey job responsibilities:Selecting features, building and optimizing classifiers using machine learning techniquesData mining using state-of-the-art methodsExtending companys data with third party sources of information when neededEnhancing data collection procedures to include information that is relevant for building analytic systemsProcessing, cleansing, and verifying the integrity of data used for analysisDoing ad-hoc analysis and presenting results in a clear mannerCreating automated anomaly detection systems and constant tracking of its performanceRequired skills & experienceExcellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Logistic Regression (LR), Linear Discriminant Analysis (LDA), K-Nearest Neighbors (KNN), Classification and Regression Trees (CART), Gaussian Naive Bayes (NB), Support Vector Machines (SVM).Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirableXGreat communication skillsExperience with data visualization tools, such as D3.js, GGplot, etc.Proficiency in using query languages such as SQL, Hive, PigExperience with NoSQL databases, such as MongoDB, Cassandra, HBaseGood applied statistics skills, such as distributions, statistical testing, regression, etc.Good scripting and programming skillsData-oriented personality