Senior Data Scientist

Overview

Data Science contributes to Cardinal Health within the Data & Analytics Function, which oversees the analytics life-cycle to identify, analyze and present insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, 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 to extract 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 AI. Our mission is to leverage data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the 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.

• Lead the Development of Innovative AI solutions: design, implement, and scale sophisticated AI solutions that address key business challenges within healthcare by leveraging 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 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 outputs.

• Shape Our AI Strategy:
  Work with stakeholders across the organization to understand needs and translate them into actionable AI-driven or AI-powered solutions.

• Act as a champion for AI within Cardinal Health, influencing the technology roadmap and aligning with business objectives.

• Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a distributed team, fostering a collaborative and innovative environment.

• Embrace an AI-Driven Culture: promote data-driven decision-making and use AI insights to drive business outcomes and improve customer experience and patient care.

• 8-12 years of experience with a minimum of 4 years in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred

• 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 building production-ready Generative AI Applications involving RAGs, LLMs, vector databases and embeddings models.

• Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred.

• Experience 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, ML libraries (Scikit-learn, Tensor Flow, PyTorch), cloud platforms, and data engineering tools, preferred.

• Experience in Cloud Functions, Vertex AI, MLFlow, Storage Buckets, IAM Principles and Service Accounts, preferred.

• Experience building end-to-end ML pipelines from data ingestion and feature engineering to model training, deployment, and scaling, preferred.

• Experience implementing CI/CD pipelines for ML models and other solutions, ensuring seamless production deployment, preferred.

• Familiarity with RESTful API design and implementation, including building APIs to integrate ML models and GenAI solutions with existing systems, preferred.

• Understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with emphasis on ML/GenAI, preferred.

• Experience in Agile development environments (Scrum or Kanban) and strong understanding of Agile principles, preferred.

• Familiarity with Dev Sec Ops  principles and practices, incorporating coding standards and security into the development lifecycle, preferred.

• Applies advanced knowledge to manage a wide variety of projects

• Participates in developing policies and…