Data Scientist, Finance Digital Solutions at Cardinal Health
Oklahoma City, OK
$94,900–$122,040from the description
Jul 20, 2026
Oklahoma City, OK
Jul 21, 2026
What this job asks for AI summary
A data science role focused on bridging analytical model development with real-world business adoption. Day-to-day work involves building prototypes, designing outputs, and tracking metrics, while collaborating closely with engineering and developer teams to integrate models into financial workflows. Suited to someone with solid Python and SQL skills, MLOps and DevOps experience (Docker, Kubernetes, CI/CD), and a strong drive toward product usability and measurable impact.
Mid level · 4+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 12 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (5)
The job posting lists no specific work location or metro area — Cardinal Health is headquartered in Dublin, OH, but the posting does not state a location or remote status; remote has been set to false as a conservative default.
The 4–8 years of experience and the Bachelor's degree are both explicitly marked 'preferred' in the posting, not required. The overall years minimum is set to 4 as the lower bound of the stated preferred range, and the degree requirement is None since the JD accepts equivalent work experience.
The Agile/SDLC experience requirement names no specific tool, so it was omitted per the no-generic-concepts rule.
GitHub Actions, GitLab, Azure DevOps, and Jenkins are listed together as illustrative CI/CD tool examples ('e.g.'); GitHub Actions is captured as the primary with the others as alternatives, all marked preferred since the hard gate is on CI/CD experience generally.
The role blends data science (ML models, MLOps, analytical prototyping) with strong software/MLOps engineering expectations (Docker, Kubernetes, CI/CD), making it a genuine 15-2051 / 15-1252 hybrid; 15-2051 was chosen as primary given the Data Science title and analytical focus, with 15-1252 as the runner-up.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.