What are the responsibilities and job description for the Data Scientist Senior position at Geisinger?
- Leads and manages the entire lifecycle of data science projects, from conceptualization and design to development, deployment, and ongoing optimization.
- Collaborates with cross-functional teams to define project scope, objectives, and success metrics.
- Ensures projects align with organizational goals and deliver measurable impact on healthcare outcomes.
- Leverages deep understanding of machine learning algorithms (decision trees, neural networks, graphical models, etc.) to build sophisticated predictive models for diverse healthcare applications.
- Utilizes clustering, dimension reduction, and deep generative models to uncover hidden patterns and insights within large, complex healthcare datasets.
- Applies rigorous validation techniques to ensure model accuracy, reliability, and fairness.
- Oversees the deployment of models into production environments, ensuring seamless integration with existing systems.
- Extracts insights from clinical and operational data sources (Epic Clarity, HL7, DICOM, and other enterprise data sources) to inform decision-making and guide project direction.
- Translates complex technical findings into compelling narratives that resonate with non-technical stakeholders.
- Facilitates data-driven decision-making by effectively communicating the value and impact of AI models.
- Mentors and guide junior data scientists, fostering their professional growth and technical expertise.
- Promotes a culture of collaboration, knowledge sharing, and continuous learning within the data science team.
- Contributes to developing best practices and standards for data science and machine learning within the organization.
- Stays abreast of the latest advancements in machine learning and healthcare research to identify opportunities for improvement and innovation.
- Experiments with new approaches and technologies to enhance model performance and expand the organization's data science capabilities.
Work is typically performed in an office or remote environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job.
*Relevant experience may be a combination of related work experience and degree obtained (Master's Degree = 2 years; PHD = 4 years ).
