Description
CVS Health is seeking a Data Scientist to join its enterprise clinical intelligence platform team. This role will analyze clinical data and develop AI and machine learning solutions that generate evidence-backed insights for use cases across CVS Health.
Responsibilities
- Develop subject matter expertise in clinical data and its application to healthcare problems.
- Explore, analyze, and summarize large structured and unstructured datasets to inform product and modeling decisions.
- Develop, validate, and improve statistical, machine learning, and generative AI solutions under the guidance of senior team members.
- Apply large language models and natural language processing techniques to extract, structure, and summarize information from clinical documents.
- Evaluate model performance and help monitor solution quality, reliability, and effectiveness in production.
- Collaborate with data scientists, data engineers, machine learning engineers, product managers, and clinical partners to implement AI solutions.
- Create dashboards, visualizations, and technical documentation that clearly communicate findings and solution performance.
- Apply CVS Health policies, regulatory requirements, and responsible AI standards throughout the model development lifecycle.
Requirements
- 1+ years of experience in data science, analytics, machine learning, or a related field.
- Experience using Python and SQL to analyze data and solve analytical problems.
- Experience applying statistics, machine learning, natural language processing, or generative AI techniques.
- Experience communicating analytical findings through documentation, visualizations, or presentations.
Preferred Qualifications
- Experience working with healthcare, clinical, claims, or other sensitive data.
- Experience analyzing unstructured text with large language models.
- Experience with cloud-based data and AI platforms, preferably Google Cloud Platform.
- Familiarity with tools such as BigQuery, Vertex AI, Dataproc, or Cloud Composer.
Benefits
- Medical, dental, and vision coverage
- Paid time off
- Retirement savings options
- Wellness programs
- Other resources, based on eligibility