Note: The job is a remote job and is open to candidates in USA. CVS Health is a healthcare organization focused on creating a more connected, convenient, and compassionate health experience. The Principal Data Scientist will serve as the senior technical leader for the Excalibur team, designing, deploying, and monitoring enterprise-scale machine learning, analytics, and generative AI solutions while leading and mentoring data scientists, engineers, and analysts.
Responsibilities
- 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, transforming application, operational, and telemetry data into trusted enterprise assets
- Architect and deliver self-service analytics, interactive reporting, and conversational "chat with your data" experiences that enable data-driven decision making across technology and business teams
- Write and review production-quality Python, SQL, and Spark code while establishing 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 approaches, feature engineering, model selection, validation strategies, AI frameworks, and platform design
- Partner with product managers, business stakeholders, engineers, architects, and technology leaders to 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 through coaching, technical reviews, career development, and a culture of continuous learning and innovation
Skills
- 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, including 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)
- Master's degree or PhD in Computer Science, Data Science, Statistics, Engineering, Artificial Intelligence, or a related quantitative discipline
- 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 for data science and machine learning solutions 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, with the ability to translate complex technical concepts into actionable insights for technical and non-technical stakeholders
- Publications, patents, conference presentations, open-source contributions, or other demonstrated achievements in machine learning, analytics, artificial intelligence, or generative AI
Benefits
- Eligibility for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
- An award target in the company’s equity award program.
- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off
- Retirement savings options
- Wellness programs
Company Overview
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