[Hiring] Senior Data Scientist @CVS Health

Role Description

CVS Health is seeking a Senior Data Scientist - GenAI to join the Lumina team, the organization behind CVS Health's enterprise knowledge and agentic AI platform. The Senior Data Scientist - GenAI will play a critical role in advancing the intelligence, scalability, reliability, and business impact of AI-powered experiences used across the enterprise. This position combines deep expertise in applied data science, machine learning, information retrieval, and Generative AI with strong software engineering capabilities to deliver production-grade solutions at scale.

The Senior Data Scientist - GenAI will:

• Lead initiatives that improve how enterprise knowledge is discovered, interpreted, and utilized through advanced AI techniques, intelligent retrieval systems, and autonomous workflows.
• Leverage experimentation, statistical methods, machine learning, and large language models to drive measurable improvements in relevance, accuracy, user satisfaction, and operational efficiency.
• Contribute across the full lifecycle of AI product development, from research and prototyping through deployment, monitoring, optimization, and continuous innovation.
• Collaborate closely with software engineers, platform engineers, architects, product managers, and business leaders to deliver enterprise-scale AI capabilities that solve complex business challenges and accelerate decision-making throughout CVS Health.
• Balance applied data science and machine learning responsibilities with hands-on software development.

Approximately two-thirds of the position focuses on:

• Applied data science, machine learning, Generative AI, experimentation, and AI evaluation.

While one-third focuses on:

• Software engineering, platform integration, API development, and production implementation.

Lumina is CVS Health's internal enterprise knowledge and agentic AI platform, delivering capabilities through various applications and enabling secure interoperability with enterprise systems.

Qualifications

• 5+ years applying advanced data science, machine learning, artificial intelligence, statistical modeling, and quantitative methods in large-scale production environments.
• 4+ years building and maintaining production-grade software, services, APIs, data pipelines, and application components using Python.
• 3+ years leveraging AWS, Azure, or GCP for scalable analytics, machine learning workloads, and cloud-native platforms.
• 2+ years designing, deploying, and optimizing Generative AI, large language model (LLM), retrieval-augmented generation (RAG), or intelligent automation solutions.
• 1+ year establishing evaluation frameworks, experimentation methodologies, and performance measurement practices.

Requirements

• Experience building and deploying ML microservices.
• Unit testing, integration testing, contract testing.
• Automated testing and deployment pipelines (CI/CD).

Preferred Qualifications

• Experience supporting enterprise AI platforms with strong governance, security, scalability, reliability, and operational maturity requirements.
• Experience implementing observability, AI quality measurement, performance monitoring, operational analytics, or continuous improvement capabilities.
• Familiarity with enterprise search, knowledge management, or access-controlled information ecosystems.
• Experience in healthcare or regulated industries where privacy and compliance are critical.
• Master's degree in Data Science, Computer Science, Statistics, Artificial Intelligence, Machine Learning, or a related quantitative discipline.

Education

• Bachelor’s degree from an accredited university or equivalent work experience (High School Diploma/GED plus 4 years of relevant experience).

Benefits

• Medical, dental, and vision coverage.
• Paid time off.
• Retirement savings options.
• Wellness programs and other resources.

Company Description

CVS Health is committed to delivering enhanced human-centric healthcare for a rapidly changing world. Our Heart At Work Behaviors™ support this purpose, promoting a culture of diversity, inclusion, and belonging.