Senior Data Scientist at Humana
San Juan, PR
$117,600–$161,700from the description
Jul 17, 2026
San Juan, PR
Jul 21, 2026
What this job asks for AI summary
A senior individual-contributor data science role focused on healthcare analytics, primarily building and deploying predictive models to support utilization management, population health, and care quality initiatives. Day-to-day work involves constructing analytical datasets from claims, pharmacy, and clinical data, developing risk-stratification and intervention models in Python, R, or SAS, and communicating findings to both clinical and business stakeholders. Suits an experienced modeler with a quantitative graduate degree and a background in managed care or health insurance data.
Mid level · 4+ years · Remote · Master's required · Full-time
Advertised as Senior, but the requirements read as Mid.
“or” means any one of them counts — you don't need all of them.
Posted 10 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
Roughly 32,800 people nationally plausibly meet what this posting asks for (data scientists). range 9,600–49,200
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
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 (10)
The title is 'Senior Data Scientist' but the hard gate is only 4+ years of experience in predictive modeling — consistent with a mid-level practitioner. The seniority band is assessed as Mid accordingly, while the advertised level is Senior.
A Master's degree in a quantitative discipline is explicitly required with no 'or equivalent experience' escape clause, so the degree requirement is set to Masters.
Python, R, and SAS are listed together as interchangeable options ('Python, R, SAS, or similar'); Python is named first and R/SAS are captured as alternatives.
Spark and PySpark are listed together under Preferred Qualifications as 'big data technologies such as Spark or PySpark'; emitted as one preferred skill with PySpark as the alternative.
MLOps (deploying and monitoring ML models in production) appears under Preferred Qualifications and is marked preferred.
Epic is cited as an example EMR system under Preferred Qualifications ('e.g. Epic') and is marked preferred.
The role is fully remote (work-at-home) with occasional travel to Humana offices; remote=true.
No CBSA/metro is specified — the role is remote-US with no primary office location stated in the posting.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): predictive modeling.
This posting reads as a fully-remote role, so it was scored against the national candidate pool rather than a single metro.
Read the full posting
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