Manager leading data science and machine learning initiatives for healthcare payer clients. Focused on operational efficiency, mentoring teams, and actionable insights to reduce costs and improve health outcomes.
Responsibilities
Apply advanced data science and machine learning methodologies to analyze vast claims and clinical data
Generate actionable insights aimed at reducing healthcare costs and enhancing population health
Lead and mentor teams while managing client relationships and expectations
Secure successful project execution while upholding quality standards
Collaborate with industry leaders to develop innovative analytics solutions
Present findings and strategies to senior stakeholders, including Chief Actuaries
Play a key role in the development of new analytics products for payer strategies
Foster a culture of continuous improvement and knowledge sharing within the team
Requirements
Bachelor's Degree
At least 6 years of experience in data science and machine learning
Master's Degree in Statistics, Computer Science, Applied Mathematics, Biotechnology preferred
Prior consulting or advisory firm experience preferred
Contributing to commercial analytics product development
Familiarity with NCQA HEDIS specifications and CMS Star Ratings
Knowledge of government payer programs and Medicaid
Experience with NLP or unstructured clinical text
Exposure to social determinants of health data integration
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