Product-Focused Data Scientist, ML & Analytics

Cardinal Health, Inc.; United States; On-site; USD 94,900 - 122,040; Full time

Benefits offered by this job

Medical, dental and vision

Paid time off

Health savings account

401k savings plan

MyFlexPay access to wages

FSAs

Disability coverage

Work-Life resources

Paid parental leave

Healthy lifestyle programs

Job summary

Cardinal Health, Inc. is seeking a product‑oriented Data Science professional who partners with engineering to turn analytical concepts into real business solutions.

You’ll be hands‑on with data — building prototypes, designing outputs, and setting up tracking metrics — but your primary focus is ensuring our products serve a clear business purpose. You will act as the bridge between technical development and financial workflows, ensuring the models we build are trusted, highly usable, and deeply

Qualifications

• 4-8 years of experience, preferred.
• Bachelor's degree in related field, or equivalent work experience, preferred.
• Strong proficiency in SQL and Python.
• Experience with Agile and SDLC frameworks.
• Experience using Git and CI/CD tools (e.g., GitHub Actions, GitLab, Azure DevOps, Jenkins).
• Experience containerizing applications and machine learning models using Docker.
• Experience deploying, managing, or supporting workloads on Kubernetes platforms.

Responsibilities

• Partner with engineering to turn analytical concepts into real business solutions.
• Build prototypes, design outputs, and tracking metrics for product impact.
• Serve as bridge between development and financial workflows to ensure trusted models.

Skills

SQL

Python

Agile methodologies

SDLC

Git

CI/CD tools

Education

Bachelor's degree in related field

Tools

Docker

Kubernetes

Job description

Cardinal Health, Inc. is seeking a product‑oriented Data Science professional who partners with engineering to turn analytical concepts into real business solutions.

You’ll be hands‑on with data — building prototypes, designing outputs, and setting up tracking metrics — but your primary focus is ensuring our products serve a clear business purpose. You will act as the bridge between technical development and financial workflows, ensuring the models we build are trusted, highly usable, and deeply