--Strong problem solving skills.
--Knowledge in statistical computer languages (R / Python) to manipulate data and draw insights from large data sets.
--Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)
--Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
--Excellent written and verbal communication skills for coordinating across teams.
--A drive to learn and master new technologies and techniques.