Senior Data Scientist
Core
Develop predictive models and advanced analytics to solve complex healthcare challenges, improve population health outcomes, and drive utilization management decisions.
Role type
Senior IC data scientist (healthcare analytics)
Builds
Production predictive models for clinical risk, utilization trends, and quality gaps using claims and clinical data
Domain
Healthcare / Managed Care / Population Health
Deliverable
production ML models
Required skills
Python, R, SAS, statistical modeling, machine learning, model validation, large healthcare dataset handling, translating analytical findings to stakeholders
Preferred skills
causal inference, causal machine learning, NLP, deep learning, Spark/PySpark, model deployment and monitoring, Epic EMR data familiarity
Technologies
Python, R, SAS, Spark, PySpark, Epic
Responsibilities
Partner with UM and clinical teams to identify opportunities for quality and outcome improvement; Design, develop, validate, and implement predictive models for clinical risk and utilization; Build and maintain analytical datasets using medical, pharmacy, and claims data; Evaluate model performance and communicate actionable insights to technical and non-technical audiences; Research and scale innovative analytical approaches; Contribute to data science best practices and reusable frameworks
Seniority
Senior, hands-on IC