Requirements:
• Advanced Degree or Degree in Computer Science, Mathematics, Engineering or other quantitative discipline.
• Experience developing and applying machine learning methodology for solving complex applied problems.
• Experience in “feature engineering”.
• Outstanding statistical, analytical and modelling skills. Able to solve classification, regression, clustering and reinforcement learning problems.
• Experience with common data science toolkits and libraries, such as scikit-learn, XGboost, Theano, NLP libraries, H2O, NumPy, etc.
• Strong experience using Linux, SQL, Python – a must.
• Flexible thinker with an entrepreneurial mind-set
• Experience with Natural Language Processing frameworks
• Ability to lead development tasks and other developers.