Principal Data Scientist at CVS Health | Chicago, IL, US | Rezi

Principal Data Scientist at CVS Health

Principal Data Scientist

CVS Health · Chicago, IL, US

6 days ago

Principal Data Scientist

CVS Health · Chicago, IL, US

6 days ago
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About the Role

CVS Health is seeking a Principal Data Scientist to serve as the senior technical leader for the Excalibur team, responsible for building advanced data, analytics, machine learning, and generative AI solutions to improve IT operations and productivity for over 350,000 colleagues. This role combines deep technical execution with people leadership, architecting and delivering enterprise-scale machine learning models, AI agents, advanced analytics platforms, and generative AI solutions.

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.

Requirements

  • 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.

Skills

  • Python
  • SQL
  • Spark
  • Databricks
  • Machine Learning
  • Artificial Intelligence
  • Generative AI
  • Large Language Models (LLMs)
  • MLOps
  • Data Pipelines
  • Data Quality
  • Cloud-based data lake architectures
  • Analytics
  • Visualization
  • Software Engineering Best Practices
  • Version Control
  • Technical Design
  • Code Reviews
  • CI/CD pipelines
  • DevOps practices
  • GitHub Actions
  • Forecasting
  • Anomaly Detection
  • Recommendation Models
  • Scoring Models
  • Optimization Models
  • Databricks Unity Catalog
  • Enterprise Data Governance
  • Data Sharing Frameworks
  • Modern Data Management Practices
  • Communication
  • Influencing Skills

Location

  • Remote

Work Type

  • Full-time

Experience Level

  • Principal
  • Senior

Education Level

  • Bachelor’s degree 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 (Preferred)

Salary/Compensations

  • $144,200.00 - $288,400.00

Benefits

  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Paid time off
  • Retirement savings options
  • Wellness programs
  • CVS Health bonus, commission or short-term incentive program
  • Equity award program

About the Company

  • CVS Health is building a world of health around every individual, shaping a more connected, convenient, and compassionate health experience. Colleagues are passionate, innovative, accountable, and prioritize safety and quality. The company aims to simplify healthcare one person, one family, and one community at a time.

Equal Opportunity

  • CVS Health is an affirmative action employer and is an equal opportunity employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active duty, veterans, reservists, National Guard members, and military spouses) to apply for CVS Health job opportunities.
  • Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.