Lead Data Scientist, Revenue Analytics at Extend
$138,750–$150,000from the description
Jul 22, 2026
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Jul 23, 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, owning and improving data pipelines, and developing quantitative analyses — including simulation models, A/B testing, and causal impact methods — to surface revenue growth opportunities. The position also involves mentoring junior analysts and driving adoption of AI tools within the team's workflow. Suits an experienced data scientist or analyst comfortable presenting strategic recommendations to leadership.
Senior level · 7+ 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 18,700 people nationally plausibly meet what this posting asks for (data scientists). range 14,000–24,300
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 (5)
The role is ambiguous between Data Scientists (15-2051) and Operations Research Analysts (15-2031): the work spans simulation models, causal impact analysis, and A/B testing (pointing toward 15-2051) alongside revenue analytics, BI-style insights, and pipeline ownership (pointing toward 15-2031). 15-2051 was chosen as primary given the explicit 'data science' framing and quantitative modeling emphasis.
The posting requires an 'advanced degree in data science, analytics, economics, statistics or similar quantitative field' with no equivalent-experience escape clause, so the degree requirement is set to Masters (the minimum advanced degree).
Claude and Gemini are listed together as examples of AI tools the candidate should be excited about; they are treated as interchangeable alternatives under a single preferred skill rather than separate hard gates, as the framing is enthusiasm/eagerness rather than a firm requirement.
The role is listed as remote within the continental United States; the company HQ is San Francisco, used as the CBSA anchor.
Simulation models and causal impact analysis are mentioned as analytical techniques but name no specific tool or platform, so they are not emitted as skills per the extraction rules.
Read the full posting
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