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Sr. Data Scientist

AKASAHealthcare Revenue company
United StatesSenior
Data & AI
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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