Amazon.com

Data Scientist- Finance AI Transformation, Global FP&A Technology, GFT, Corp FP&A

Amazon.com
US Seattle, WA, US
Onsite 2026-06-21
Announced salary
$136k–$184k
Market rate in Seattle : $101K - $176K (median $133K) · BLS OEWS 2025

Job description

**DESCRIPTION** --------------- Join Amazon's Global FP\&A Technology (GFT) team as a Data Scientist, where you'll shape the future of FP\&A operations by building the forecasting and AI capabilities behind Amazon's financial planning. As part of GFT's mission to streamline, optimize, and drive financial excellence through technology, you'll work closely with Corporate FP\&A teams and cross\-functional stakeholders to develop scalable data science solutions that support strategic finance objectives. Your work will contribute directly to enhancing reporting, planning, cost allocations, and business enablement tools that empower finance teams across the organization. The models you build here ship to production and directly influence how Amazon plans its finances. Our forecasts drive stock\-based compensation — a P\&L expense of over $20B a year — and the headcount outlook spanning Amazon's \~1\.5M employees, feeding the OP1, OP2, and Board\-level planning cycles. A growing part of our charter is building AI capabilities that take on repetitive work in finance. Today this work takes many manual hours per cycle, spans disconnected tools and relies on repeated handoffs. This is the forward\-looking edge of GFT, and a space where you can build agents and AI systems that finance teams use directly. We are looking for a results\-driven scientist to join our team in Seattle. You will work with FP\&A teams, product managers, software engineers, data engineers, UX designers, and front\-end engineers to understand key requirements, and you'll lead the design and development of data science products and services. The ideal candidate brings strong problem\-solving skills, stakeholder communication skills, and the ability to balance technical rigor with delivery speed and customer impact. This is a great opportunity for someone looking to drive the next generation of data science architecture, design, and development that scales to support Amazon's busines

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