Job Description
Description
Amazon Japan is seeking a Data Scientist to join our Cost-to-Serve Intelligence team — a group that answers the question: Why does it cost what it costs to deliver a package, and how do we do it more efficiently? You will design and run research studies that connect operational data to business decisions, helping leadership understand where to invest to reduce cost-to-serve across Japan's logistics network — ultimately enabling faster, cheaper delivery that improves the customer experience.
At Amazon, you'll work alongside the latest AI and GenAI tools that are increasingly woven into how teams operate: from AI-powered capabilities that accelerate decision-making, to Generative AI that helps you focus on work that truly matters. You'll have opportunities and resources to develop AI fluency at your own pace, with continuous learning built into the culture.
This is a science role with direct business impact. Your work will be presented to senior executives, siz...
Amazon Japan is seeking a Data Scientist to join our Cost-to-Serve Intelligence team — a group that answers the question: Why does it cost what it costs to deliver a package, and how do we do it more efficiently? You will design and run research studies that connect operational data to business decisions, helping leadership understand where to invest to reduce cost-to-serve across Japan's logistics network — ultimately enabling faster, cheaper delivery that improves the customer experience.
At Amazon, you'll work alongside the latest AI and GenAI tools that are increasingly woven into how teams operate: from AI-powered capabilities that accelerate decision-making, to Generative AI that helps you focus on work that truly matters. You'll have opportunities and resources to develop AI fluency at your own pace, with continuous learning built into the culture.
This is a science role with direct business impact. Your work will be presented to senior executives, siz...
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- Location Tokyo, Japan
- Job Type Full-time
- Category other-general
- Posted Date July 08, 2026
- Application Deadline July 13, 2026