Job Description

The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling.

Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems.

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience.

We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change.

Responsibilities

• Lead the design, development, and deployment of cutting-edge AI solutions on Google Cloud Platform (GCP), focusing on solving key business challenges within the healthcare industry.
• Build Generative AI Systems: Architect and build sophisticated Generative AI applications, including Agentic AI systems and advanced RAG pipelines. Leverage expertise in Gemini Enterprise, various embedding models, and scalable vector databases to integrate LLMs with vast repositories of business data.
• Apply Classical Machine Learning: Utilize a strong foundation in classical machine learning to develop and implement models for forecasting, classification, risk prediction, and other critical business applications.
• Shape AI Strategy: Act as a subject matter expert on GCP-based AI development, working with stakeholders to translate business needs into actionable, AI-powered solutions and influencing the direction of our technology roadmap.
• Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth.
• Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care.

Qualifications

• Proven experience in a Senior AI Engineer or Data Scientist role with a track record of deploying complex AI/ML solutions into production.
• Bachelor's degree in related field, or equivalent work experience, preferred
• GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth
• Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model.
• Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred.
• Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred.
• Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred.
• Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred.
• 8-12 years of relevant work experience preferred.
• Experience building end-to-end MLOps pipelines, from data ingestion to model deployment and monitoring (e.g., using MLFlow)preferred.
• Knowledge of healthcare data (clinical, patient, claims) and relevant regulations like HIPAA preferred.
• Familiarity with DevSecOps principles, RESTful API design, and CI/CD pipelines for ML models preferred.
• Experience working in Agile development environments (Scrum, Kanban) preferred.

What is expected of you and others at this level

• Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects.
• Participates in the development of policies and procedures to achieve specific goals.
• Works on or may lead complex projects of large scope.
• Independently determines method for completion of new projects and acts as a mentor to less experienced colleagues.

Anticipated salary range: $121,600 - $173,700

Bonus eligible:  Yes

Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.

• Medical, dental and vision coverage

• Paid time off plan

• Health savings account (HSA)

• 401k savings plan

• Access to wages before pay day with myFlexPay

• Flexible spending accounts (FSAs)

• Short- and long-term disability coverage

• Work-Life resources

• Paid parental leave

• Healthy lifestyle programs

Application window anticipated to close: 05/18/2026

*if interested in opportunity, please submit application as soon as possible.

The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate’s geographical location, relevant education, experience and skills and an evaluation of internal pay equity.

Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.

Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day.

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