The data scientist is responsible for overseeing the collection, storage and interpretation of data for businesses. He uses various tools, data mining,  statistical techniques, algorithms and machine learning principles to identify trends, patterns and insights from raw data. He interprets and analyses  data from multiple sources to create imaginative solutions to problems.  

Communicate with internal business units & leadership team to identify most impactful areas for research and development in analytics Enhance data collection procedures to include information that is relevant for building analytic systems 

Process, cleanse, and verify the integrity of data used for analysis 

Use business intelligence tools such as Power BI for better visualization and transparency of data analytics, driving insightful business strategies and  improved business performances. 

Build tools to automate data collection 

Generate information and insights from data sets and identify trends and patterns 

Develop modern machine learning models by utilizing deep knowledge of advanced data science toolkits. 

Partner with other teams in technology department to safely deploy the predictive analytics in scalable and controlled environment