Data/AI Scientist II at Waymark
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Jul 26, 2026
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Jul 27, 2026
What this job asks for AI summary
This is a data science role focused on building machine learning models and AI tools that support care teams working with Medicaid patients. Day-to-day work involves developing risk stratification and care gap prediction models using claims and EHR data, contributing to LLM-based clinical workflow tools, and writing production-quality Python code within ML pipelines. It suits a technically grounded candidate with a relevant graduate degree who is eager to develop healthcare domain knowledge.
Mid level · Remote · Master's required · Full-time
“or” means any one of them counts — you don't need all of them.
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
Roughly 13,300 people nationally plausibly meet what this posting asks for (data scientists). range 5,600–20,000
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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).
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 (6)
This posting contains TWO distinct roles: a Data Scientist and a Clinical Pharmacist Manager. Only the Data Scientist role has been extracted here, as the Clinical Pharmacist Manager is a non-technical healthcare/clinical role (non-technology) and cannot be meaningfully represented in the same structured output.
The posting does not specify a single work location — it lists salary bands for many US metros, and the benefits mention a work-from-home stipend, indicating a remote-friendly or fully remote position.
The '3+ years of hands-on Python experience' requirement explicitly includes academic and project work, so this does not necessarily imply 3 years of industry experience. Total industry experience is listed as preferred (1–2 years), not required.
A Master's degree in Data Science, Computer Science, Statistics, or a related field is listed as a hard minimum qualification with no 'or equivalent experience' escape clause.
LLM-based tools and AI applications are called out in both the responsibilities and minimum qualifications sections, treated as a required area of understanding.
Experiment tracking, model validation, and reproducible workflows appear under Preferred Qualifications, as does healthcare data exposure.
Read the full posting
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