
10,000+ employees
🏥 Healthcare
🛒 Retail
📦 Logistics
Healthcare • Retail • Logistics
CVS Health Careers is the recruitment and employer branding arm of CVS Health, showcasing job opportunities across the company's broad operations—pharmacy retail stores, pharmacy services, health care clinics, distribution warehouses, corporate functions and transportation. The careers site emphasizes purpose-driven work focused on improving access, affordability and quality of health care, and highlights a large workforce (300,000+ employees), inclusive culture, benefits, and hiring resources for applicants.
🔥 3 hours ago
Where this job comes from
Posted on CVS Health Careers's careers page, not through a job board
First seen by Remote Rocketship 3 hours ago

10,000+ employees
🏥 Healthcare
🛒 Retail
📦 Logistics
Healthcare • Retail • Logistics
CVS Health Careers is the recruitment and employer branding arm of CVS Health, showcasing job opportunities across the company's broad operations—pharmacy retail stores, pharmacy services, health care clinics, distribution warehouses, corporate functions and transportation. The careers site emphasizes purpose-driven work focused on improving access, affordability and quality of health care, and highlights a large workforce (300,000+ employees), inclusive culture, benefits, and hiring resources for applicants.
• Design, develop, deploy, and monitor machine learning models, predictive analytics solutions, and generative AI applications that improve IT operations, colleague productivity, and business outcomes • Build and maintain scalable data pipelines, data products, and curated datasets on Databricks • Transform application, operational, and telemetry data into trusted enterprise assets • Architect and deliver self-service analytics, interactive reporting, and conversational “chat with your data” experiences • Write and review production-quality Python, SQL, and Spark code • Establish best practices for software engineering, data quality, testing, model development, AI governance, and MLOps • Own the team’s technical roadmap and drive architecture decisions related to machine learning, feature engineering, model selection, validation, AI frameworks, and platform design • Partner with product managers, business stakeholders, engineers, architects, and technology leaders to prioritize opportunities and deliver measurable value • Lead, mentor, and develop a high-performing team of data scientists, engineers, and analysts
• 10+ years in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics, delivering production-ready solutions and measurable business outcomes within complex enterprise environments • 6+ years developing production-quality solutions using Python, SQL, and Spark, including testing, version control, and software engineering best practices • 4+ years building scalable data pipelines, managing data quality at scale, and supporting cloud-based data lake architectures • 3+ years with Databricks or a comparable modern data and AI platform • 2+ years designing and deploying Generative AI solutions, including Large Language Models (LLMs), AI agents, and related AI-powered applications within enterprise environments • 3+ years leading or mentoring data scientists and engineers, conducting technical design and code reviews, building analytics and visualization solutions, and translating complex business challenges into machine learning, analytics, and AI products • Bachelor’s degree from an accredited university or equivalent work experience • High School Diploma/GED plus 4 years of relevant experience as an alternative educational pathway • Experience implementing MLOps, model monitoring, LLM observability, and machine learning lifecycle management using platforms such as MLflow, Arize AI, Databricks or similar tools • Experience developing and deploying CI/CD pipelines, DevOps practices, and automated software delivery frameworks leveraging GitHub Actions • Experience building forecasting, anomaly detection, recommendation, scoring, or optimization models within large-scale enterprise environments • Experience with Databricks Unity Catalog, enterprise data governance, data sharing frameworks, and modern data management practices • Strong communication and influencing skills • Publications, patents, conference presentations, open-source contributions, or other demonstrated achievements in machine learning, analytics, artificial intelligence, or generative AI
• CVS Health bonus, commission or short-term incentive program • Award target in the company’s equity award program • Medical coverage • Dental coverage • Vision coverage • Paid time off • Retirement savings options • Wellness programs • Other resources supporting physical, emotional, and financial well-being
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