VP/Analytics Consultant/Data Scientist - Data Science - BPO

Required Qualifications:

- Individual Contributor with 1-17 of experience in Analytics/Data Science

- Post-graduate degree from a renowned institute in Engineering/Statistics/Economics/Computer Science/Mathematics (with a strong quantitative background)

- Demonstrated hands-on experience in solving real-world problems using Natural Language Processing and/or Image Processing.

- Demonstrated hands-on experience in using algorithm libraries / frameworks like H2O, Keras and TensorFlow.

- Expert level programming ability in R and/or Python and possess good presentation skills with the ability to organize and present information to audiences with disparate levels of technical understanding.

- Strong theoretical and practical knowledge of some or most econometric/statistical methods like Linear Regression, Logistic regression, Generalized Linear Model, Survival Analysis, Sampling Techniques, Time Series Analysis, CART, CHAID, Clustering, Discriminant Analysis, Principal Component Analysis, Factor Analysis, Multidimensional Scaling etc.

- Strong theoretical and practical knowledge of some or most Machine learning techniques like Random Forest, Support Vector Machine, Gradient Boosting Machine, XGBoost etc.

- Strong theoretical and practical knowledge of some or most Deep Learning techniques across Recurrent Neural Networks, Convolutional Neural Networks etc.