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| Job Location | Mumbai City |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Education / Training |
| Functional Area | Sales / BD |
| EmploymentType | Full-time |
As a modeling expert you will be involved in creating & modifying Statistical/ Analytical models to meetclient as well as organization needs. The statistical models will be on identifying anomalies in the data &provide insights to drive business outcomesYou will assist onshore and offshore teams, and client team by providing them tactical support includingData Validation, developing OPEX documents, Preparing current state analysis presentations, preparingfuture state analysis documents, monitoring progress of the project and publishing reports Operational ResponsibilitiesResponsible to generate models based on business requirements Should work closely with the data scientist, onshore and offshore team to understand different business scenario, automate and create models in R Should be able to identify anomalies in data using different statistical tools Suggest model change based on the change in business dynamics & data trends Responsible to document all the changes made in the models & business requirements Responsible to generate forecast for warranty expense based on history Should be able to generate models to understand parts requirement based on history Leverage root causes identified during Problem Resolution process to create new rules to automate emerging issue detection Observe emerging Issue detection process and look for ways to continuously improve it Support ad- hoc complex analysis Leverage multiple R packages to conduct more complex warranty analysis: Text Mining Packages like TM , Advance Analytics packages like Caret , etc. Automate ad- hoc complex analysis proven useful to enable junior analyst to use them on a recurrent basis. Train Junior Analyst on new ad- hoc analysis developed by Analyst Experts. Explore new root cause analysis methodologies with warranty expert analysts and reliability engineers as a way to continuously improve the warranty analytics team capabilities Monitor and interpret process KPI s,