Requirement

Excellent knowledge and hands on working experience with ML techniques and tools Strong understanding of basic statistics concepts including population, confidence intervals, correlation, significance, probability, distributions, hypothesis testing, etc Strongly grounded concepts and application knowledge of ML techniques including linear/logistic regression, decision trees, classification, clustering, ensembles, text mining, social networking analysis to build models Strong and Hands-on experience with at least one of R/Python languages and familiarity with machine learning tools/frameworks like h2o/tensorflow etc.. Strong with at least one data visualization tool e.g., Tableau, plotly, R-ggplot2, matplotlib, etc Experience in large scale data analysis in Big Data ecosystem including Pig / Hive / Spark is a plus Ability to work independently and collaboratively within a team Flexible, adaptive, quick learner