Senior Data ScientistCardinal Health • USA, Ohio, Columbus

Senior Data Scientist

Cardinal Health • USA, Ohio, Columbus

30+ days ago

Job type

Full-time

Job description

What Data Science contributes to Cardinal Health

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 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.

Qualifications

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, 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 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, preferred.

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.

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

Experience in building and implementing CI / CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred.

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

Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML / GenAI implementations preferred.

Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred.

Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle 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

Recommends new practices, processes, metrics, or models

Works on or may lead complex projects of large scope

Projects may have significant and long-term impact

Provides solutions which may set precedent

Independently determines method for completion of new projects

Receives guidance on overall project objectives

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 : 11 / 05 / 2025

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. Cardinal Health is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity / expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.

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Senior Data Scientist • USA, Ohio, Columbus

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