As a Data Scientist, you will discover and solve real world problems by analyzing clinical, operational, and financial data, defining new metrics and use cases, designing experiments, and creating models. All of this will be done as a part of the centralized Analytics and Business Intelligence department while collaborating with various stakeholders throughout the health system. This role explores and analyzes information to gain maximum insight that can give the organization a competitive advantage. The data scientist will need to be become a subject matter expert for the domains they support and the underlying data, including metadata and recommending ways to improve data quality. Further, the Data Scientist will be responsible for pioneering new methodologies, defining and improving performance metrics and evaluation, and will generally lead innovation efforts on the Data Science team. Successful candidates should have strong statistics background, programming skills, and understanding of the industry and how it operates. Critical thinking and problem-solving skills are essential for interpreting data, with good communication skills to deliver the findings. Candidates should be comfortable operating in a dynamic environment with ability to balance multiple priorities and competing deadlines. Lastly, the Data Scientist should have an entrepreneurial spirit, always asking "how can we do this better", to drive outcomes for patients as well as for the Health System as a whole.