Performs research, development, deployment, and enhancement of enterprise-wide analytics solutions using complex analytics techniques such as optimization methods, regression analysis, statistical analysis, mathematical modeling and programming, machine learning, natural language processing, deep learning, spatial analysis, robotics process automation, artificial intelligence, etc. · Uses expert level knowledge to utilize common data science tools, including scripted languages (such as R, Python, SQL, and JavaScript), analytics platforms, open-source/commercial off-the - shelf solutions to develop data science products.