Lead Data Scientist - Clinical AI

About the position

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. The Clinical AI team is tasked with activating CVS Health's clinical data to improve outcomes across multiple lines of business and use cases. As a Lead Data Scientist, you will be a subject matter expert in clinical data and how to apply it to solve health care problems.

Responsibilities

• Design, develop, validate, implement, and support predictive models and algorithms that investigate problem spaces, identify patterns, support decision-making processes, or anticipate outcomes.
• Lead data scientists, data engineers, machine learning engineers, and product owners to design and implement analytics solutions.
• Utilize natural language processing (NLP) and large language models (LLMs) to extract insights and features from unstructured clinical data.
• Lead development of the clinical data feature store, which aims to accelerate adoption of future use cases utilizing clinical data.
• Explore, validate, interpret, and summarize large amounts of data with various types/structures using advanced statistical and mathematical approaches.
• Develop end-to-end analytics solutions, from developing problem statements to deploying models into production.
• Build dashboards and data visualizations to effectively communicate analysis results and support decision-making processes.
• Translate problem statements from business partners into conceptual solutions, analyze feasibility, and estimate work efforts for analytical use cases early in their lifecycle.
• Create documentation of project details, like problem statements, business outcomes, data exploration, ML model details, and deployment/support instructions.
• Develop and lead presentations and consultations to existing and prospective constituents on analytics opportunities, results, and solutions.
• Provide technical coaching and development to data scientists.
• Foster a team culture of innovation and collaboration.

Requirements

• 7+ years of relevant analytics experience.
• 7+ years' experience solving analytics problems using advanced statistics, machine learning, and mathematical algorithms.
• 5+ years' experience leading analytics projects from concept to delivery by coordinating across a diverse set of stakeholders.
• 5+ years' experience using natural language processing (NLP), large language models (LLMs), and Generative AI (Gen AI) to extract insights from text data.
• 5+ years' experience using Google Cloud Platform (GCP) tools, including BigQuery, Vertex AI, DataProc, and Cloud Composer to implement scalable analytics solutions.

Nice-to-haves

• Experience solving analytics problems in the healthcare domain using clinical data.
• Ability to anticipate and prevent roadblocks throughout a project lifecycle and drive resolution/mitigation.
• Demonstrates strong written and verbal communication skills, including the ability to present complex ideas to various audiences.

Benefits

• 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.