Data Scientist Senior
| Company | Geisinger |
|---|---|
| Location | Pennsylvania, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- Bachelor’s Degree-Related Field of Study (Required)
- Minimum of 4 years-Relevant experience (Required)
- Academic Research
- Critical Thinking
- Mathematics
- Teamwork
- Technical Skills
Responsibilities
- 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.
Preferred Qualifications
- Relevant experience may be a combination of related work experience and degree obtained (Master’s Degree = 2 years; PHD = 4 years)