Senior Data Scientist, Revenue Analytics
Extend
$125,000–$135,000from the description
Jul 14, 2026
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Jul 21, 2026
What this job asks for AI summary
A senior individual contributor role on a Revenue Analytics team, responsible for leading cross-functional data initiatives aimed at growing and recovering revenue. Day-to-day work spans building and maintaining data pipelines, running quantitative analyses such as simulation models and causal impact studies, and shaping strategic recommendations for leadership. The role suits an experienced data scientist or analyst comfortable operating independently across ambiguous business problems.
Senior level · 5+ years · Remote · Master's required · 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 21,200 people nationally plausibly meet what this posting asks for (data scientists). range 12,700–31,700
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 (7)
The role blends data science (simulation models, causal impact analysis, ML/AI experimentation) with revenue/business analytics (BI-style reporting, pipeline ownership, strategic recommendations), making it a genuine toss-up between Data Scientists (15-2051) and Operations Research Analysts (15-2031). The quantitative modeling emphasis and AI experimentation expectation tipped the primary classification to 15-2051.
An advanced degree (Master's or higher) in data science, analytics, economics, statistics, or a similar quantitative field is listed in the requirements block without an 'or equivalent experience' escape; the degree requirement is set to Masters as the minimum implied by 'advanced degree'.
AI tools (Claude, Gemini, etc.) are framed with enthusiasm language ('excited and passionate') in the requirements section rather than as a hard gate, but their placement in the requirements block warrants listing them as preferred given the aspirational framing.
Causal impact analysis and simulation modeling appear in the responsibilities/context narrative rather than the explicit requirements list, so they are marked preferred.
The posting states candidates must be located within the continental United States; the caller has confirmed this is a fully-remote role.
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
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