Senior Analyst, Personalization Data Science
sephora.com · Fresno, CA
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Jun 28, 2026
Fresno, CA
Jul 21, 2026
What this job asks for AI summary
This role involves building analytical and predictive solutions by applying data mining, feature engineering, and natural language processing to large structured and unstructured datasets. The work includes creating analytics views of predictive drivers and modeling their growth for opportunity sizing, in close collaboration with product and engineering teams. It suits a data scientist or analyst comfortable working across both technical modeling and business-facing analysis.
Mid level · Remote
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 23,000 people nationally plausibly meet what this posting asks for (data scientists). range 13,800–34,500
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 $120,230 (middle half $85,660–$158,880).
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 (4)
The posting is extremely brief and names no specific tools, languages, or platforms — only methodological areas (data mining, feature engineering, NLP, predictive analytics, opportunity sizing). No concrete technology stack can be extracted.
Seniority is unspecified in the title and no years-of-experience requirement is stated; the scope (working alongside product and engineering, building predictive models and forecasts) is consistent with a mid-level individual contributor.
SOC confidence is Medium: the role clearly centers on modeling and statistical analysis (15-2051 Data Scientists), but the emphasis on 'analytical solutions' and 'analytics views' could also fit a data/BI analyst (15-2031). The modeling and NLP language tips the balance to Data Scientists.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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