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About the role
Measure and improve the impact of GenAI products in healthcare revenue cycle.
- •As a Senior Data Scientist, you will use deep product analytics to measure and improve the impact of GenAI products within the healthcare revenue cycle.
- •You will work with large-scale datasets to inform product strategy and quantify value for major health systems.
- •Key Responsibilities Apply causal inference and statistical methods to assess product value using financial and healthcare data.
- •Design and analyze A/B tests and quasi-experiments to evaluate new features.
- •Communicate data-driven insights to cross-functional stakeholders.
- •Requirements 8+ years of experience (Bachelor's), 5-7 years (Master's), or 3+ years (Ph.D.) in a quantitative field.
- •Proficiency in Python and SQL.
- •Strong background in advanced statistical analysis and research design.
Tech stack
PythonSQL
Match insights
Tech:Python, SQL
Level:Senior