Senior Data Scientist, AI Search / AEO Research at fabric Inc
$136,000–$182,000
Jul 19, 2026
—
Jul 21, 2026
What this job asks for AI summary
A hybrid research and product role focused on understanding how AI-powered answer engines (such as ChatGPT and Perplexity) surface and represent e-commerce products. The position involves designing original studies and quantitative models, publishing findings to shape an AI shopping roadmap, and presenting results directly to customers. It suits someone with a strong data science or econometrics background and hands-on experience in search discovery or answer/generative engine optimization.
Senior level · 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 1,850 people nationally plausibly meet what this posting asks for (data scientists). range 1,100–2,750
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 (7)
The role is a hybrid of data science, product research, and customer-facing evangelism — the primary day-to-day work (designing studies, building quantitative models, publishing findings) maps most closely to Data Scientists (15-2051); Operations Research Analysts (15-2031) is a plausible runner-up given the emphasis on measurement frameworks and market analysis.
Python and SQL are listed together as interchangeable fluency options ('Python, SQL, or similar') in the requirements block; they are captured as a single requirement with alternatives rather than two separate hard gates.
AEO/GEO (Answer Engine Optimization / Generative Engine Optimization) tooling familiarity and e-commerce/martech experience appear only under the 'Nice to have' section.
No compensation figures are stated in the posting.
The posting lists eligible US states (CA, CO, GA, MA, MN, NH, WA) and Canadian provinces (Ontario, British Columbia); the caller has confirmed this is a fully-remote, national role, so no metro is inferred.
An advanced degree is listed only under 'Nice to have,' so no minimum degree requirement is set.
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.