Joining a mission-driven team, the full-time Data Scientist - HOS Analytics will focus on modeling health trajectories, analyzing HOS survey data, and developing interventions to enhance Star Ratings, all while working fully remotely. Key responsibilities: Collaborate with clinical and care management teams to translate HOS performance drivers into analytical solutions Build and fine-tune predictive models for member-level health risks and analyze item-level survey data to identify performance drivers Develop dashboards to track HOS performance against Star Rating cut points and standardize reporting workflows across the organization Required qualifications: PhD in Computer Science, Engineering, Mathematics, Statistics, or related field 2+ years of experience in predictive modeling and analysis related to longitudinal or outcomes-based member data Demonstrated experience with CMS HOS survey methodology and knowledge of individual HOS composite measures Strong programming skills in Python, Java, R, Scala, or C++, and proficiency in SQL Experience building end-to-end data science solutions and applying machine learning methods to real-world problems
Data Scientist - HOS Analytics in workfromhome at Unknown Company
This position is listed as full time and able to be worked remotely.