Senior AI Data Scientist

Responsibilities

• Lead and manage the entire lifecycle of data science projects from conceptualization to deployment and optimization
• Develop sophisticated predictive models using machine learning algorithms such as decision trees, neural networks, and graphical models
• Utilize clustering, dimension reduction, and deep generative models to analyze complex healthcare datasets
• Extract insights from clinical and operational data sources including Epic Clarity, HL7, and DICOM
• Translate complex technical findings into actionable narratives for non-technical stakeholders
• Mentor and guide junior data scientists to foster professional growth and technical expertise
• Collaborate with cross-functional teams to define project scope and success metrics

Requirements

• Bachelor's Degree in a related field of study
• Minimum of 4 years of relevant experience
• Strong skills in Python, SQL, and C++
• Expertise in Machine Learning methods and Statistical methods
• Ability to perform clinical data cleaning

About the Company

Geisinger is committed to making better health easier for the more than 1 million people it serves. Founded more than 100 years ago, the system includes nine hospital campuses, a 550,000-member health plan, two research centers, and the Geisinger Commonwealth School of Medicine.