• Solve new business problems using quantitative, business and healthcare principles, and scientific methods using data centric programming, scripting, and machine learning skills. • Create data models, APIs, and pipelines for use in data products. • Solve higher order analytics problems using data science methodologies such as predictive modeling. • Conduct exploration and in-depth evaluation of source system data and processes. • Consult with the business to develop a deep understanding of needs, pace, and direction of business. • Design data experiments using scientific and quantitative principles to validate analytical algorithms. • Work with business subject matter experts in creation of reliable data experiments. • Participate in code peer reviews and quality assurance testing. • Troubleshoot issues as they arise to solve problems independently and collaboratively. • Maintain regular contact with customers through development cycle to ensure each step of implementation tracks customers’ needs. • Lead small analytics projects applying a working knowledge of Agile and SCRUM project methodologies utilizing TFS, Jira, and Confluence.