• Selecting features, building and optimizing classifiers using machine learning techniques;
• Data mining using state-of-the-art methods;
• 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;
• Creating automated anomaly detection systems and constant tracking of its performance;

• 4+ years’ work experience as Data Scientist;
 

• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc;
• Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable;
• Great communication skills;
• Experience with data visualization tools, such as D3.js, GGplot, etc.
• Proficiency in using query languages such as SQL;
• Good applied statistics skills, such as distributions, statistical testing, regression, etc;
• Good scripting and programming skills;
• Data-oriented personality.