Cardinal Health · 5 hours ago
Senior Data Scientist
United States
Full-time
Remote
Senior Level, Lead/Staff
$122K/yr - $174K/yr
8+ years expCardinal Health is a company that oversees the analytics life-cycle to drive business decisions in healthcare. They are seeking a highly motivated and experienced Senior Data Scientist to lead the development of innovative AI solutions and mentor a team of data scientists.
Health CareHospitalMedical
Responsibilities
Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies
Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications
Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction
Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs
Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions
Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives
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
Qualification
Required
8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions
Bachelor's degree in related field, or equivalent work experience
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
Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations
Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support
Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences
Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools
Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts
Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling
Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments
Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems
Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations
Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices
Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle
Benefits
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
Company
Cardinal Health
Cardinal Health is a manufacturer and distributor of medical and laboratory products.
10001+ employees
H1B Sponsorship
Cardinal Health has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (128)
2024 (116)
2023 (140)
2022 (158)
2021 (106)
2020 (142)
Funding
Current Stage
Public CompanyTotal Funding
$1.08B2025-08-28Post Ipo Debt· $1B
2006-08-16Post Ipo Debt· $78M
1983-08-12IPO
Leadership Team
Aaron Alt
Chief Financial Officer
T
Tony Caprio
Executive Vice President
Recent News
2026-01-12
Fortune
2025-12-19
GlobeNewswire
2025-12-18
Company data provided by crunchbase