Data Scientist
Current· Leverage data and business principles to create and manage TeleSense data science strategies· Provide metrics, trends, relationship and patterns in the data to the CTO & leadership· Utilize analytical, programming & statistical skills to collect & analyze time-series data· Slice, dice & analyze temperature dataset with Python & R Machine Learning algorithms· Develop predictive analytics, exploratory data analysis and build Tableau visualizations· Manage spring planning, sprint review and scrum meeting with developers· Build and maintain data driven optimization models, experiments and time series forecasting algorithms· Develop processes and tools to monitor and analyze machine learning model performance and data accuracy of statistical models· Ability to collect data from multiple sources & extract, transform & load data for predictive analytics, ETL data driven strategies· Provide feedback to TeleSense science and engineering teams on the applicability of technical solutions from business perspective· Detect anomalies in time-series data using Machine Learning algorithms & mathematical models· Provide strategic thinking to enhance TeleSense core products & identify innovative ways to leverage data to support TeleSense Client operations· Drive high impact analysis to generate strategic insight and support decision-making with business unit partners