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