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An established industry player is seeking a Sr. Data Scientist to join their Enterprise Analytics team. In this pivotal role, you will leverage advanced analytics techniques to support critical use cases in healthcare. Your expertise in machine learning, predictive modeling, and data strategy will drive impactful insights and innovations. Collaborating with business and IT leaders, you will manage multiple projects while mentoring junior colleagues. This is a unique opportunity to contribute to meaningful work that supports seniors, all within a dynamic and inclusive environment.
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SCAN Group is a not-for-profit organization dedicated to tackling the most pressing issues facing older adults in the United States. SCAN Group is the sole corporate member of SCAN Health Plan, one of the nation’s leading not-for-profit Medicare Advantage plans, serving more than 285,000 members in California, Arizona, Nevada, and Texas. SCAN has been a mission-driven organization dedicated to keeping seniors healthy and independent for more than 40 years and is known throughout the healthcare industry and nationally as a leading expert in senior healthcare. SCAN employees are a group of talented, passionate professionals who are committed to supporting older adults on their aging journey, while also innovating healthcare for seniors everywhere. Employees are provided in-depth training and access to state-of-the-art tools necessary to do their jobs, as well as development and growth opportunities. SCAN takes great pride in recognizing our team members as experts in their fields and rewarding them for their efforts. If you are interested in becoming part of an organization that is innovating senior healthcare, visit www.thescangroup.org, www.scanhealthplan.com, or follow us on LinkedIn, Facebook, and Twitter.
This Sr. Data Scientist role will be a key member of SCAN's Enterprise Analytics team, responsible for end-to-end analyses using advanced analytics techniques to support various use cases across the health plan. Use cases include member segmentation, multivariate analysis, longitudinal predictive models, lifetime value calculations, and collaboration with the Emerging Technologies team on innovative uses of LLMs. The role involves collaboration with business and IT leaders to develop and implement data and analytics strategies.
Qualified applicants are encouraged to apply now! SCAN is committed to diversity and inclusion, offering equal employment opportunities and a background check as part of the hiring process.