Applied Scientist, Amazon Stores Finance Science

We are seeking a Applied Scientist to propel Gen AI acceleration within Finance. This role will focus on leveraging large language models and agentic Ai to enhance decision-making processes, automate complex controllership processes, and improve operational efficiency in Stores Finance., * Develop approaches to automate and enhance financial processes using state-of-the-art language models

• Partner with business stakeholders to identify high-impact opportunities for AI-driven transformation
• Work with Software Engineering and Data Engineering to implement solutions that scale to the entire organization

A day in the life

Are you interested in solving complex problems at the intersection of Science/Economics and Finance? And doing this while working in the Finance organization supporting one of the world’s largest and most complex and dynamic businesses? This is a unique opportunity for qualified individuals to drive the entire life cycle of highly impactful, real-world ML applications, focused on use of advanced generative AI technology. If you thrive in a fast-paced, dynamic environment, and are passionate about driving impact, we encourage you to apply!

About the team

WW Amazon Stores Finance Science (ASFS) works to leverage science and economics to drive improved financial results, foster data backed decisions, and embed science within Finance. ASFS is focused on developing science/econ products that empower controllership, improve business decisions and financial planning by understanding drivers, and innovating Gen AI capabilities for efficiency and scale.

• Experience programming in Java, C++, Python or related language
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
• Master’s degree or above in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields
• Experience building machine learning models or developing algorithms for business application, * Experience implementing algorithms using both toolkits and self-developed code
• Have publications at top-tier peer-reviewed conferences or journals
• Experience applying theoretical models in an applied environment
• Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, CA, Sunnyvale - 157,300.00 - 212,800.00 USD annually

USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually

USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually

Amazon Stores Finance Science (ASFS) is committed to integrating industry leading scientific methodologies into our financial processes. Our mission is to collaborate with finance and business partners to leverage advanced scientific and economic products to optimize insights, analysis, and decision-making. Our primary focus lies in developing solutions for Finance’s enduring challenges and opportunities, encompassing financial controllership, planning, and operational efficiency.