Senior Data Scientist, Population Health
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Job Description
Senior Data Scientist at Geisinger, leading data science initiatives to enhance healthcare outcomes. Mentoring junior scientists and collaborating with clinical leaders for impactful decision-making.
Responsibilities:
- The Senior Data Scientist is a strategic leader in our organization, driving the entire lifecycle of data science initiatives that directly impact healthcare outcomes.
- Leverage your deep expertise and mastery of machine learning to develop, implement, and evaluate complex AI models in healthcare settings.
- Mentor and develop junior data scientists and analysts, fostering a culture of data-driven innovation.
- Lead and manage the entire lifecycle of data science projects, from conceptualization and design to development, deployment, and ongoing optimization.
- Collaborate with cross-functional teams to define project scope, objectives, analytic design, validation strategy, and expected impact.
Requirements:
- Bachelor's Degree-Related Field of Study (Required)
- Minimum of 4 years-Relevant experience* (Required)
- Preferred skills: Databricks, Python, SQL, advanced statistical analysis, machine learning, emerging AI technologies and implementation (LLMs, RAG, GenAI, Agentic workflow integrations and deployment)
- Healthcare experience preferably with Population Health initiatives
- Familiarity with Epic Clarity, Caboodle, claims data, CMS/Medicare populations, or payer-provider analytics.
Benefits:
- We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners.
- We encourage an atmosphere of collaboration, cooperation and collegiality.
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