Remote | Senior Product & Growth Data Scientist — $115–$165/hour
24-MAG · New York, NY
$115–$165/hrfrom the description
Jul 18, 2026
New York, NY
Jul 20, 2026
What this job asks for AI summary
A part-time, fully remote contract role for senior data science professionals who will assess analytical deliverables — including experiments, predictive models, dashboards, SQL/Python analyses, and written recommendations — against structured quality criteria. Work involves developing evaluation rubrics, scoring both AI-generated and human-created outputs, and writing detailed justifications. The role suits practitioners with at least five years of industry data science experience, particularly in product or growth analytics.
Senior level · 5+ years · Remote · Contract
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 20,900 people nationally plausibly meet what this posting asks for (data scientists). range 6,200–31,400
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 (9)
This is a part-time independent contractor (1099) evaluation/consulting role, not a traditional full-time data science position — the day-to-day work is reviewing and scoring data science deliverables rather than producing them, which creates some ambiguity between 15-2051 (Data Scientists) and 15-2031 (Operations Research Analysts). 15-2051 was chosen because the required domain expertise and the work being evaluated are squarely in data science.
The 'Ideal Profile' section is framed with 'may have' and 'Strong candidates may have', making all listed qualifications technically aspirational. However, the role's core responsibilities clearly require hands-on command of experiment design, A/B testing, SQL, Python, statistical analysis, product analytics, metric development, and dashboards — these are treated as hard gates given the nature of the evaluation work, even though the section heading softens the language.
All 'Nice to Have' items (causal inference, experimentation platforms, forecasting, predictive modeling, machine learning, executive dashboards, metric frameworks) are listed under an explicit 'Nice to Have' heading and are marked as preferred.
Degree requirements are stated as 'helpful', 'may be valuable', or 'highly relevant' — no hard degree gate is imposed, and equivalent hands-on experience is explicitly accepted. Degree requirement is set to None.
Compensation is quoted as $115–$165/hr depending on experience, technical depth, and project requirements. Payments are made weekly via Stripe or Wise.
No metro is inferred; the caller has confirmed this is a fully remote, nationally pooled role.
Ignored 3 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): experiment design, metric development, predictive modeling.
Posting is for a contract engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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