Description

- Use of cutting edge data mining, machine learning techniques for building advanced recommender systems, knowledge management, and insight generation. - Understand business challenges and goals to formulate the approach for data analysis and model creation that will support business decision making. - Take analytical objectives and define data requirements in terms of size, format, and cleansing needs for purposes of analysis, modelingsegmentation and reporting. - Research on innovative technologies to come up . - Interpret, document and presentcommunicate analytical results to multiple business disciplines, providing conclusions and recommendations based on customer-centric data. - Building intelligent systems leveraging the vast amount of available userbehavior data to enrich the end-user experience Job Requirements : - Masters- (with 4+ years of experience) Or Ph.D. (with 0 - 2 years of experience) in a relevant field such as Probability, Statistics, Machine Learning, Data Mining, Artificial intelligence Computer Science. - Experience with building data analytics models via supervised and unsupervised machine learning, statistical analysis, and predictive modeling techniques. - Understanding of statistical modelingmachine learning data mining concepts and strong analytical and quantitative problem-solving ability. - Strong background and experience in using R, SAS, MATLAB or equivalent statisticaldata analysis tools and technologies is a must. - Hands-on skills in using techniques such as Parametric and Non-Parametric Regression models. Skills : PYTHON, ANALYSIS

Role and Responsibilities

• - Use of cutting edge data mining, machine learning techniques for building advanced recommender systems, knowledge management, and insight generation. - Understand business challenges and goals to formulate the approach for data analysis and model creation that will support business decision making. - Take analytical objectives and define data requirements in terms of size, format, and cleansing needs for purposes of analysis, modelingsegmentation and reporting. - Research on innovative technologies to come up . - Interpret, document and presentcommunicate analytical results to multiple business disciplines, providing conclusions and recommendations based on customer-centric data. - Building intelligent systems leveraging the vast amount of available userbehavior data to enrich the end-user experience Job Requirements : - Masters- (with 4+ years of experience) Or Ph.D. (with 0 - 2 years of experience) in a relevant field such as Probability, Statistics, Machine Learning, Data Mining, Artificial intelligence Computer Science. - Experience with building data analytics models via supervised and unsupervised machine learning, statistical analysis, and predictive modeling techniques. - Understanding of statistical modelingmachine learning data mining concepts and strong analytical and quantitative problem-solving ability. - Strong background and experience in using R, SAS, MATLAB or equivalent statisticaldata analysis tools and technologies is a must. - Hands-on skills in using techniques such as Parametric and Non-Parametric Regression models. Skills : PYTHON, ANALYSIS