TCS - Analytics Expert

- Practical experience with recent advances in mathematical & computational sciences and statistical modeling.

- Solid grounding in applied statistics including expertise in at least one of the following is a must: Machine Learning, Deep Learning, Artificial Intelligence, Image & pattern recognition, Signal processing, Reliability models, Bayesian modeling, statistical classification, cluster analysis, time series analysis, forecasting and multivariate statistics.

- Experience using statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets.

- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.)

- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.