Data Scientist at Help at Home
Denver, CO
$85,000–$113,000from the description
Jul 2, 2026
Denver, CO
Jul 21, 2026
What this job asks for AI summary
A remote data science role within a home care company's analytics team, focused on building predictive models, data pipelines, and machine learning solutions to support clinical and operational decision-making. The work spans statistical analysis of healthcare data — including claims, ADTs, and population health datasets — as well as contributing to LLM and AI automation initiatives. Best suited to candidates with a healthcare data background and hands-on experience in Python, R, SQL, and applied modeling.
Mid level · 3+ years · Remote · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 13 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 11,500 people nationally plausibly meet what this posting asks for (data scientists). range 6,900–20,800
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). 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 (8)
The JD lists Python, R, and SPSS together as a single 'working knowledge' requirement; Python is emitted as the primary with R and SPSS as alternatives since all three satisfy the same requirement.
Machine learning and predictive modeling are listed under the qualifications/requirements section with firm language ('Knowledge of data science, machine learning and predictive models') and are treated as hard gates, even though they are methodological capabilities rather than named tools.
Snowflake, SageMaker Canvas, SageMaker Studio, and Git are explicitly called out as 'a plus' in the qualifications section and are therefore preferred.
LLMs and prompt engineering appear in the responsibilities and qualifications respectively but are framed as 'support' and 'familiarity' — treated as preferred rather than hard gates.
The role's total experience gate is anchored to '3+ years of Healthcare data analysis experience'; the separate '1+ year of data science/ML' requirement is a subset of that and does not raise the overall minimum.
The alt SOC (15-1243 Database Architects) is noted because the role also involves building data pipelines, but the dominant day-to-day work is clearly predictive modeling and statistical analysis, making 15-2051 the clear primary.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): predictive modeling.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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