SAS Modeller/SAS E-miner consultant

We are looking for an experienced SAS Modeller / SAS E- Miner Consultant. Profile is required to join on immediate/Urgent participation. Job Description & Key Responsibility Experience in using more than two of the following statistical methods to solve business problems using SAS: linear and logistic regression / DNN Model neural networks, decision trees, time-series and forecasting, K-means clustering, RFM, survival analysis models (Kaplan Meier and Cox Regression) Classification models (ANN/Random Forest) Candidate will be working as a part of Predictive Analytics & Modelling team which encompasses a variety of statistical techniques from data mining, predictive modelling, and machine learning, that analyze current and historical facts to make predictions about future or otherwise unknown events. Candidate will be working on SAS Analytics and manage, implement, and administer the SAS Analytics' Platform that includes Industry Solutions, Cross-Functional Solutions, Solutions for Hadoop, Data Management, Advanced Analytics, and Business Intelligence & Analytics. No. of Vacancy: 02 Required Experience: 3+ Years Salary: As per industry standard Your Name (required) Email Address (required) Phone (optional) Your message Upload Your Resume We are looking for an experienced SAS Modeller / SAS E- Miner Consultant. Profile is required to join on immediate/Urgent participation. Job Description & Key Responsibility Experience in using more than two of the following statistical methods to solve business problems using SAS: linear and logistic regression / DNN Model neural networks, decision trees, time-series and forecasting, K-means clustering, RFM, survival analysis models (Kaplan Meier and Cox Regression) Classification models (ANN/Random Forest) Candidate will be working as a part of Predictive Analytics & Modelling team which encompasses a variety of statistical techniques from data mining, predictive modelling, and machine learning, that analyze current and historical facts to make predictions about future or otherwise unknown events. Candidate will be working on SAS Analytics and manage, implement, and administer the SAS Analytics' Platform that includes Industry Solutions, Cross-Functional Solutions, Solutions for Hadoop, Data Management, Advanced Analytics, and Business Intelligence & Analytics. No. of Vacancy: 02 Required Experience: 3+ Years Salary: As per industry standard Your Name (required) Email Address (required) Phone (optional) Your message Upload Your Resume