Data Scientist II, Rapid & Rural Logistics (R2L) Analytics
Amazon · Bellevue, WA
$136,000–$184,000from the description
Jul 16, 2026
Bellevue, WA
Jul 21, 2026
What this job asks for AI summary
A data scientist role focused on Amazon's rapid-delivery supply chain, building and evaluating statistical and machine learning models to improve product availability, reduce costs, and enhance customer experience. The work involves translating ambiguous supply chain problems into quantitative solutions, developing automated pipelines for model deployment, and collaborating with product, engineering, and science teams. Suits candidates with applied ML experience who are comfortable operating in a fast-moving, cross-functional environment.
Mid level · 2+ years · Seattle-Tacoma-Bellevue, WA · 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 1,050 people in the Seattle-Tacoma-Bellevue, WA area plausibly meet what this posting asks for (data scientists). range 440–1,550
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $168,363 (middle half $111,131–$214,996). 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 (6)
The role title is plain 'Data Scientist' with no level modifier; advertised seniority is Unspecified. The minimum experience gate is 2+ years as a data scientist, which maps to Mid-level despite the breadth of responsibilities described.
The Basic Qualifications require a Master's degree OR equivalent STEM work experience, so no formal degree is hard-gated; degree requirement is set to None.
The SQL/scripting requirement lists SQL, Python, R, SAS, and Matlab as interchangeable examples of 'data querying or scripting languages'; they are captured as a single skill with alternatives rather than separate entries, since the JD treats them as satisfying the same gate.
Python appears again under Preferred Qualifications (alongside Perl), so it is also listed separately as a preferred skill reflecting that specific preferred framing.
GenAI benchmark experience is listed under Preferred Qualifications ('Experience in defining and creating benchmarks for assessing GenAI model performance') and is marked preferred accordingly.
Compensation is stated as a base salary range of $136,000–$184,000 annually, with additional sign-on payments and RSUs noted but not quantified.
Read the full posting
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