Responsibilities Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods & tools Extending company’s data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner

Skills and Qualifications: Excellent understanding of machine learning techniques and algorithms, such as K means clustering, Naive Bayes etc Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is required Experience in Supply Chain concepts Experience in Statistical Analysis, Operations Research concepts – Integer/Linear/Stochastic programming Experience with data visualization tools, such as D3.js Proficiency in using query languages such as SQL, Hive, Pig Experience with NoSQL databases, such as MongoDB, Cassandra Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good scripting and programming skills Data-oriented personality Bachelors or Masters in Computer Science w/Data Science speciality Experience preferred: 5-10 yrs