Data Scientist

Data scientists utilize their analytical, statistical, and programming skills to collect, analyze, and interpret large data sets. They then use this information to develop data-driven solutions to difficult business challenges.

Responsibilities

  • Selecting features, building and optimizing classifiers using machine learning techniques

  • Data mining using state-of-the-art methods

  • Extending company‚Äôs 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

Requirements

  • 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, Phython. Excellence in at least one of these is highly desirable

  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.

  • Data-oriented personality

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