Data Scientist I
HelioCampus · Bethesda, MD
—
Jul 16, 2026
Bethesda, MD
Jul 20, 2026
What this job asks for AI summary
A data science role embedded within a client-facing team that serves colleges and universities. The work centers on building and deploying machine learning models — such as student yield, retention, and enrollment forecasts — alongside interactive dashboards, using Python and SQL. The position suits someone with hands-on higher education data experience who can translate analytical findings into practical guidance for institutional decision-makers.
Mid level · 3+ years · Remote · 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 1,100 people nationally plausibly meet what this posting asks for (data scientists). range 670–2,000
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
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 (8)
The JD requires 3 years of experience delivering analytical insights including ML model building — this maps to a Mid-level band despite the breadth of the role.
Tableau and Power BI are listed together as interchangeable options in the requirements section; Tableau is used as the primary name with Power BI in alternatives.
Higher-ed student data systems (PeopleSoft, Banner, Colleague, Workday, Slate, Salesforce/TargetX) are listed as a single requirement with named alternatives; PeopleSoft is used as the primary with the others in alternatives.
LLMs appear in the required qualifications section under 'Familiarity with a variety of machine learning methodologies, forecasting techniques, and generative AI (LLMs)' — treated as a hard gate despite the softer 'familiarity' framing because it sits in the requirements block.
An advanced degree is listed under 'Nice To Have's' and explicitly notes that comparable experience can substitute — the degree requirement is set to None.
No compensation figures are provided in the posting.
The caller has directed that this be treated as fully remote with no metro inferred, consistent with the posting's own 'primarily remote' framing.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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