Applied Scientist II, Amazon Stores Finance Science 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.
We are seeking an Applied Scientist to propel Gen AI acceleration within Finance.
The 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.
Key Responsibilities
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 while working in the Finance organization that supports 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 using 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
Amazon Stores Finance Science 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.
Basic Qualifications
3+ years of building models for business application experience.
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
Experience programming in Java, C++, Python or related language.
Experience with algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
Experience working with Data & AI related technologies, including AI/ML, GenAI, Analytics, Database and/or Storage.
Preferred Qualifications
Experience in professional software development.
Experience with LangGain, CrewAI, LangGraph or similar libraries for leveraging GenAI.
Base salary ranges: USA, CA, Cupertino – $171,****** – $222,****** USD annually; USA, WA, Bellevue – $142,****** – $193,****** USD annually; USA, WA, Seattle – $142,****** – $193,****** USD annually.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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