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Data Scientist III, Rapid & Rural Logistics; R2L Science & AI

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Amazon
Full Time position
Listed on 2026-07-18
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 159200 - 215300 USD Yearly USD 159200.00 215300.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist III, Rapid & Rural Logistics (R2L) Science & AI

Data Scientist III, Rapid & Rural Logistics (R2L) Science & AI

Job :  |  Services LLC

The R2L team builds the next generation supply chain for Amazon’s ultra‑fast customer experiences, including Amazon Fresh, Sub‑Same Day, Amazon Now, and other upcoming businesses. We’re seeking an experienced data scientist with strong analytical skills to drive data science initiatives and deliver customer‑centric insights and machine learning models.

Key Responsibilities
  • Inform the data science charter and collaborate across data science, data engineering, and business intelligence teams.
  • Provide high‑velocity analytics to multiple business and technical stakeholders.
  • Identify and prioritize opportunities using data‑driven insights, machine learning, and causal inference models.
  • Produce high‑quality data analyses, clear findings, and actionable recommendations.
  • Balance unknowns and deliver results to delight customers.
Benefits

Amazon offers a comprehensive benefits package that includes medical, dental, vision, paid time off, 401(k) plan, and parental leave. More details about benefits are available on the Amazon Jobs website.

Basic Qualifications
  • 5+ years of experience with data querying languages (SQL), scripting languages (Python), or statistical/mathematical software (R, SAS, Matlab, etc.).
  • 4+ years of data scientist experience.
  • Experience with statistical models such as multinomial logistic regression.
Preferred Qualifications
  • 2+ years of experience with data visualization tools (AWS Quick Sight, Tableau, R Shiny, etc.).
  • Experience managing data pipelines.
  • Experience as a leader and mentor on a data science team.
Salary

USA, NY, New York –  –  USD annually

USA, WA, Bellevue –  –  USD annually

We provide sign‑on payments and restricted stock units (RSUs). Final compensation is determined by experience, qualifications, and location.

Equal Opportunity Statement

Amazon is an equal‑opportunity employer and does not discriminate based on protected veteran status, disability, or other legally protected status. We support accommodations for applicants with disabilities during the application and hiring process. More information is available on the Amazon Jobs page.

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