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

Amazon • Seattle, WA

4d • $136,000 - $184,000 • Onsite

About The Position

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 business growth and the FP&A function.

Requirements

• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 2+ years of data scientist experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Currently has, or is in the process of obtaining, a Ph.D. in Math, Statistics, Computer Science, or related science field
• Experience applying theoretical models in an applied environment

Nice To Haves

• Experience in Python, Perl, or another scripting language
• Experience in a ML or data scientist role with a large technology company

Responsibilities

• Apply a range of data science methodologies — statistical modeling, machine learning, and time series analysis — to solve complex forecasting challenges.
• Lead the end-to-end lifecycle of forecasting models — from research and experimentation through production launch — including defining success metrics, obtaining stakeholder sign-off, and managing rollout in collaboration with software and data engineering.
• Run large-scale exploratory data analysis and rigorous experiments at scale to uncover patterns, evaluate models, and improve performance.
• Partner with finance stakeholders, engineers, and other scientists to understand customer needs and deliver solutions that meet them.
• Translate complex research findings into clear, factually correct documents and explain technical concepts to technical and non-technical audiences.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree