Sr Data Scientist at PayPal
New York, NY
$169,541–$333,500from the description
Jul 16, 2026
New York, NY
Jul 21, 2026
What this job asks for AI summary
A senior individual-contributor data science role focused on business analytics and decision support. Day-to-day work involves analyzing trends across large, multi-dimensional datasets, building executive-facing dashboards, designing and evaluating product experiments, and communicating findings to Risk, Product, and Marketing stakeholders. Suits candidates with a quantitative postgraduate background and hands-on experience in SQL, Python, BigQuery, Tableau, and causal inference methods.
Senior level · 4+ years · Remote · Master's required · Full-time
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 7,700 people nationally plausibly meet what this posting asks for (data scientists). range 4,650–11,600
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 $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 (8)
The JD lists New York, NY as the work location with partial telecommuting permitted; the caller has instructed this be treated as fully remote with no metro attached.
The Master's degree requirement is a hard gate per the Minimum Requirements section — equivalent experience is not offered as a substitute.
The 4-year experience floor is stated at the role level (post-Master's), making it the overall years minimum of 4; each Special Skill also carries its own 4-year demand.
Skill #3 ('designing, executing, and analyzing experiments for product and feature launches') is captured as A/B testing — the closest canonical tool/method name for experiment design in this context.
Skills #4, #5, and #6 in the Special Skills list describe analytical capabilities rather than named technologies and are omitted from the skills list per extraction rules.
The compensation range ($169,541–$333,500/year) is stated as location-dependent (New York, NY); actual pay may differ for remote workers outside that market.
Additional compensation (annual bonus, equity) is mentioned but no figures are provided.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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