Data Scientist Growth and Marketing Analytics

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
CVS Health seeks a Data Scientist to join the Growth Analytics team within Analytics & Behavior Change. In this highly visible individual contributor role, you will shape and execute a customer-centric analytics strategy across Health Care Business (HCB) and enterprise-wide opportunities. You'll partner closely with analytics and business leaders to drive member growth through marketing and sales analytics, leveraging advanced machine learning, experimentation, and generative AI.Key Responsibilities

• Develop a comprehensive, data-driven understanding of customer healthcare needs and shopping behaviors, identifying friction points and high-value engagement opportunities, particularly within insurance plans and benefits.
• Design, build, and deploy machine learning and statistical models including deep learning, causal inference, and regression to enhance marketing and sales efficiency.
• Construct scalable pipelines on cloud platforms (GCP, AWS, Azure) to monitor, evaluate, and automate activation across marketing, sales, and other functions.
• Leverage generative AI and large language models (LLMs) to streamline processes and create new business opportunities.
• Create compelling data visualizations and deliver clear, actionable insights to inform strategic decisions in marketing and sales.
• Collaborate with Strategy, Marketing, Operations, and Data Science teams to translate analytics into targeted, actionable business solutions.

• 1-2+ years of experience with Python, SQL, and cloud applications (GCP, AWS, Azure), as well as machine learning
• 1-2+ years of experience solving analytics problems using advanced statistics, machine learning, deep learning, mathematical algorithms, and predictive modeling
• 1-2+ years of industry experience presenting technical concepts to non-technical audiences and delivering clear insights

• Broad proficiency in mathematical analysis, machine learning, statistical analysis, and predictive modeling, with depth in one or more areas
• Experience designing and deploying scalable machine learning models in production environments
• Hands-on experience with A/B testing methodologies and causal inference analysis
• Experience in designing and implementing data pipeline and warehouse solutions
• Familiarity with CI/CD pipeline development and maintenance
• Experience developing and evaluating large language models

• Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or a related discipline; Master's or PhD preferred

• 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.