Analytics Data science and IOT Engineer

Description

Responsibilities •Understanding the requirement and ability to relate to statistical algorithms •Knowing the Acceptance Criteria and ways to achieve the same •Complete understanding of Business Processes and data •Performing EDA (Exploratory Data Analysis) cleansing, data preprocessing data munging and create training data sets •Using the right Statistical models and other statistical methods •Deploying the statistical model using the technology of customers’ preference •Building Data Pipeline , Machine Learning Pipeline and Monitoring activities are set for Continuous Integration , Continuous Development and Continuous Testing •Investigating Statistical Model & provide resolution when there is any data drift and performance issues  The Role offers •Opportunity to join a global team to do meaningful work that contributes to global strategy and individual development •To re-imagine, redesign, and apply technology to add value to...