Senior Data Scientist
Geisinger
full-time
Posted on:
Location Type: Remote
Location: Remote • Pennsylvania • 🇺🇸 United States
Visit company websiteJob Level
Senior
About the role
- Leads and manages the entire lifecycle of data science projects
- 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 to build sophisticated predictive models
- Utilizes clustering, dimension reduction, and deep generative models to uncover hidden patterns
- Applies rigorous validation techniques to ensure model accuracy, reliability, and fairness
- Oversees the deployment of models into production environments
- Extracts insights from clinical and operational data sources to inform decision-making
- Translates complex technical findings into compelling narratives for non-technical stakeholders
- Facilitates data-driven decision-making by communicating the value and impact of AI models
- Mentors and guide junior data scientists
- Promotes collaboration, knowledge sharing, and continuous learning
- Contributes to developing best practices and standards for data science
Requirements
- Master's Degree-Related Field of Study (Required)
- Minimum of 4 years-Relevant experience* (Required)
- Academic Research
- Critical Thinking
- Machine Learning (ML)
Benefits
- Health insurance
- Vision
- Dental
- Benefits for domestic partners
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningpredictive modelingclusteringdimension reductiondeep generative modelsmodel validationdata extractiondata analysisAI models
Soft skills
leadershipcollaborationcommunicationcritical thinkingmentoringknowledge sharingdecision-making
Certifications
Master's Degree