Data Scientist 2/3, Storefront
Quince · Palo Alto, CA
$171,000–$242,000
Jun 30, 2026
Palo Alto, CA
Jul 21, 2026
What this job asks for AI summary
A data scientist role focused on the storefront layer of a consumer e-commerce platform, covering recommendations, personalization, and search. Day-to-day work involves building and deploying machine learning models — including LLM-based search and real-time personalization pipelines — owning end-to-end production workflows in Python and SQL, and running live experiments. Suits an experienced practitioner with a background in recommender systems or relevance ranking at scale.
Senior level · 5+ years · National · Master's required
Advertised as Mid, but the requirements read as Senior.
“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
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 (6)
The title 'Data Scientist 2 / 3' uses a numeric level system: '2' maps to Mid and '3' maps to Senior, so the level advertised in the title is reported as Mid (the lower of the two). However, the actual requirements — 5+ years of industry experience, MS/PhD, production-grade ML deployment, end-to-end pipeline ownership — firmly support a Senior-level role.
No work location is specified in the posting; the CBSA and state fields are left blank. The role may be remote or in an unstated office.
The degree requirement is MS or PhD in a quantitative field; this is stated as a hard requirement with no 'or equivalent experience' escape clause, so Masters is the minimum.
The alternative occupation code (15-1243 Database Architects) is noted only because of the significant data infrastructure and pipeline-building responsibilities; the primary day-to-day work is clearly ML/data science modeling, so 15-2051 is the right code.
LLMs are listed under Required with specific examples (Claude, GPT); these are hard gates on generative AI/LLM workflow experience. The preferred section adds experience replacing traditional NLP systems with LLMs, captured as a preferred NLP skill.
Looker and Tableau appear only in the Preferred section as examples of BI tools; they are interchangeable alternatives for that optional requirement.
Read the full posting
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