Senior Data Scientist, Revenue Analytics at Jobgether
$125,000–$135,000from the description
Jul 16, 2026
—
Jul 21, 2026
What this job asks for AI summary
A senior individual contributor role focused on revenue analytics, where the work centers on designing and running statistical experiments, building data pipelines and models, and surfacing insights that inform customer acquisition and revenue strategy. The position involves close collaboration with product, engineering, sales, growth, and risk teams, and suits an experienced data scientist comfortable with SQL, Python, causal inference, and translating quantitative findings for senior stakeholders.
Senior level · 5+ years · Remote · Master's required · Full-time
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 10,400 people nationally plausibly meet what this posting asks for (data scientists). range 6,200–15,600
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 (6)
The JD requires an 'Advanced degree' (Master's or higher) in a quantitative discipline with no equivalent-experience substitution offered — the degree requirement is set to Masters as the minimum of that range.
The role is posted via Jobgether on behalf of an unnamed partner company; the hiring employer's identity is not disclosed in the posting.
AI/emerging-technology skills appear in the Requirements section but are framed as a 'passion for applying' rather than a named tool or platform, so no specific AI tool is hard-gated. LLMs is captured as preferred to reflect the directional emphasis.
The alt SOC (15-2031 Operations Research Analysts) is noted because the revenue-analytics framing has a strong BI/decision-analysis flavor, but the explicit ML/modeling and statistical experimentation requirements make 15-2051 the better fit.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): simulation modeling.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.