Principal Data Scientist - Clinical Operations

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary

Summary:

We are seeking a visionary and technically skilled Principal Data Scientist to lead the design and development of advanced AI/ML solutions that transform clinical operations at Aetna. This role will drive innovation across care management, utilization review, and government programs by embedding intelligent automation and predictive analytics into core workflows. The Principal Data Scientist extracts knowledge and insights from data to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, including predictive analysis, business intelligence, pattern recognition, operational effectiveness and/or economic forecasting.

Key skills include data analysis techniques (e.g., A/B testing, association rule learning, cluster analysis, pattern recognition and predictive modeling), data analysis and visualization software (e.g., Domo, Looker, PowerBI, Qlik, Tableau, SiSense), object-oriented programming languages (Java, Python, R, Ruby, Scala, C++) and/or data engineering skills (relational or NoSQL databases, ETL tools).

Key Responsibilities:

AI/ML Technical Design & Development

• Coordinates advanced data science projects and develops deliverables, taking ownership of assigned tasks and ensuring their successful completion.
• Drives data science strategies and methodologies for specific projects, applying domain knowledge and expertise to drive impactful outcomes.
• Develops methods for conducting risk assessments for data science initiatives, identifying potential vulnerabilities and proposing mitigation strategies.
• Conducts advanced analysis of the organization's data science needs, capabilities, and gaps to identify opportunities for improvement and provide recommendations for optimization.
• Plans major risk assessments for data science initiatives, identifying potential vulnerabilities and proposing mitigation strategies.
• Build and maintain AI/ML models for disease progression forecasting, care management optimization, and clinical appeals triage.
• Review modeling proposals and engineering designs to enhance efficiency and accuracy in clinical workflows.
• Develop advanced question-answering pipelines to support evidence-based decision-making by nurses and care advocates.
• Implement multi-agent LLM workflows for clinical document interpretation, outreach strategy recommendations, and appeal resolution.
• Customize LLMs to align with healthcare compliance (HIPAA, CMS), Aetna-specific terminology, and plan protocols.
• Define KPIs and monitoring systems to ensure safety, fairness, and longevity of AI solutions across clinical domains.
• Shape the AI roadmap for shared services such as appeals automation and digital care plans.
• Develop and implement generative AI use cases through proof-of-concepts and internal training materials.

Cross-Functional Collaboration & Innovation

• Advises senior management of multiple departments to contribute data-driven insights, expertise, and solutions to address healthcare challenges.
• Partner with stakeholders in clinical operations, government programs, and innovation to co-design impactful AI solutions.
• Applies advanced knowledge of data governance policies and procedures to ensure compliance, privacy, and ethical use of healthcare data.
• Promote responsible AI principles and empower clinical leaders to become AI change agents.
• Collaborate with care advocates, medical directors, engineers, and product managers to integrate AI into platforms like Clinical Gateway and HealthOS.
• Resolve platform-level challenges in real-time eligibility checks, provider documentation review, and predictive triage.
• Align AI designs with enterprise clinical strategy and IT architecture standards.
• Masters industry trends and emerging technologies, continuously enhancing skills and knowledge to contribute effectively as an independent contributor in the field of data science.

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Required Qualifications**

• 10+ years of experience in applied machine learning, preferably in healthcare.
• Proven track record of deploying AI/ML solutions in clinical or operational settings.
• Expertise in LLMs, NLP, and multi-agent systems.
• Strong understanding of healthcare data standards (Dx, Rx, CPT), compliance frameworks, and payer/provider workflows.
• Excellent communication and stakeholder engagement skills.
• Mastery of problem solving and decision-making skills
• Mastery of collaboration and teamwork
• Mastery of growth mindset (agility and developing yourself and others) skills
• Mastery of execution and delivery (planning, delivering, and supporting) skills
• Mastery of business intelligence

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Preferred Qualifications**

• Certified Data Scientist preferred.

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Education**

• Master’s or PhD in Computer Science, Data Science, Biomedical Informatics, or related field.

Pay Range

The typical pay range for this role is:

$144,200.00 - $288,400.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.

• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

We anticipate the application window for this opening will close on: 09/29/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.