Staff Data Scientist - Clinical Impact, Forecasting & Equity Options

Pearl Health is seeking a Staff Data Scientist to lead methodologies that demonstrate impact on the healthcare system. The role involves designing causal frameworks, developing predictive models, and collaborating with teams on patient risk. Ideal candidates should hold a graduate degree in a quantitative field and have 8+ years of experience in quantitative analysis. Skills required include Python, SQL, and AWS. Compensation ranges from $160,000 to $200,000 annually, plus bonuses and equity options.
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