• Manage a team of data scientists, machine learning engineers and big data specialists
• Interpret and analyze data problems. To deal with huge data, have good understanding on data science and have worked on relational databases.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Building and implementing models, using/creating algorithms and creating/running simulations using a variety of Tools
• Knowledge and experience of tools/techniques: Forecasting, Linear Regression, Logistic Regression, Regularization, Segmentation (Decision Trees,