
10,000+ employees
Founded 1963
🏥 Healthcare
⚕️ Healthcare Insurance
🛒 Retail
Healthcare • Healthcare Insurance • Retail
CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.
🔥 13 hours ago
🌽 Illinois, New York – Remote
💵 $144.2k - $288.4k / year
⏰ Full Time
🔴 Lead
📊 Data Scientist
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10,000+ employees
Founded 1963
🏥 Healthcare
⚕️ Healthcare Insurance
🛒 Retail
Healthcare • Healthcare Insurance • Retail
CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.
• Design, develop, deploy, and monitor machine learning models, predictive analytics solutions, and generative AI applications • 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 • Partner with product managers, business stakeholders, engineers, architects, and technology leaders • Prioritize opportunities, align technical solutions to business needs, 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 in addition to base pay • 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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