THE SUCCESSFUL CANDIDATE: - 8 to 15 years of experience in analytics or data science space with exposure to technology. - Deep exposure to AWS/ cloud architecture. - Built models using logistics regression, linear regression, SVM, random forest, bagging and boosting, NL, neural networks, text analytics, NLP - Expertise in big data technologies like spark, pyspark, sparkR etc. and natural language processing - Strong exposure to client management, product development, proposal creation etc. - Exposure in implementing data science solutions in production environments, - 8 to 15 years of experience in analytics or data science space with exposure to technology.