Senior Data Scientist, Level 5
Snap Inc. · Bellevue, WA
$190,000–$284,000from the description
Jul 20, 2026
Bellevue, WA
Jul 22, 2026
What this job asks for AI summary
A senior individual-contributor data science role focused on product analytics across Snapchat's suite of services. The work centers on statistical modeling, causal analysis, A/B testing, and machine learning to surface insights that guide product and business decisions, alongside building dashboards and scalable data solutions. The position suits an experienced quantitative analyst comfortable partnering with product, engineering, and design teams.
Senior level · 5+ years · Los Angeles-Long Beach-Anaheim, CA · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 5 times — it's one opening, so apply once.
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 510 people in the Los Angeles-Long Beach-Anaheim, CA area plausibly meet what this posting asks for (data scientists). range 380–660
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 $132,593 (middle half $93,359–$172,124). 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)
Compensation figures shown are for Zone A (CA, WA, NYC) at $190,000–$284,000/year; Zone B is $181,000–$270,000/year and Zone C is $162,000–$241,000/year. The Zone A range is used here as the primary figure.
The role requires 4+ days per week in-office under Snap's 'Default Together' policy — it is not fully remote.
All named technical skills (SQL, Python/R, A/B testing, statistical modeling, machine learning) appear exclusively under 'Preferred Qualifications', so all are marked preferred. The Minimum Qualifications section states only degree and years-of-experience requirements with no named technologies.
Python and R are listed as interchangeable alternatives for the programming language requirement.
The posting lists multiple degree pathways (Bachelor's + 5 yrs, Master's + 4 yrs, PhD + 1 yr); the minimum hard-required degree is a Bachelor's (or equivalent practical experience). Because the JD explicitly accepts equivalent experience in lieu of a degree, the degree requirement is set to None per policy — however, the Bachelor's pathway is the baseline framing.
An advanced degree (applied mathematics, statistics, actuarial science, economics) is listed under Preferred Qualifications only.
The role is headquartered at Snap's Santa Monica, CA campus; the pay zone covers CA, WA, and NYC, so the CBSA is set to the Los Angeles metro where Snap's HQ is located.
Read the full posting
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