Principal Data Scientist

CVS Health

. Design, develop, deploy, and monitor machine learning models, predictive analytics solutions, and generative AI applications .

Posted 9/16/2026full-timeRemote • Illinois • United StatesLead💰 $144,200 - $288,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying machine learning models, predictive analytics, and generative AI applications while ensuring data quality and governance. Proven ability to lead and mentor teams, drive technical roadmaps, and deliver impactful analytics solutions in complex enterprise environments.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProgrammingData Pipeline ArchitectureGenerative AI SolutionsMLOps Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningPredictive AnalyticsData EngineeringPythonSQLSparkDatabricksCI/CD PipelinesAI GovernanceModel Monitoring

Soft Skills

Strong CommunicationInfluencing SkillsTeam LeadershipMentoring

Tools & Technologies

Databricks Unity CatalogMLflowGitHub ActionsArize AI

Industry Keywords

Data ScienceArtificial IntelligenceAdvanced AnalyticsEnterprise Data GovernanceData Quality Management

Tech Stack

Tools & technologies

CloudPythonSparkSQLUnity

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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