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Key job responsibilities
- Build, tune, and evaluate large language models and generative AI applications, including seller-facing chatbots and multi-agent AI tools for the cross-border payments business.
- Develop and deploy real-time statistical and machine learning models for FX risk monitoring, validating your data, assumptions, and results throughout the process.
- Gather and use large datasets from multiple sources across global marketplaces to design production-ready solutions that meet customer needs and team goals.
- Write accurate, clear, and mathematically rigorous technical documents that communicate model performance and business impact to both technical and non-technical audiences.
- Partner with engineering, business, and science teams to translate payment-domain problems into data science solutions and ensure smooth deployment on AWS.
A day in the life
You will spend your morning reviewing model outputs from production FX risk systems and tuning generative AI prototypes for seller chatbots. In the afternoon you might pair with an engineer to deploy a new model version on AWS, then present preliminary results to senior leadership. Throughout, you will seek feedback from senior scientists on your methodology and collaborate with cross-functional partners to refine problem framing.
About the team
We are the science team behind Amazon's cross-border payments business, supporting products that serve millions of sellers and buyers across 20+ global marketplaces. Our team is small and at an inflection point—we are expanding our generative AI capabilities, building multi-agent systems, and strengthening real-time risk models. You will join a group that values end-to-end ownership, from research to production, and whose work directly shapes decisions on large-scale payment flows. Basic Qualifications: - 1+ 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/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM) Preferred Qualifications: - Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
- Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
- Experience working with or evaluating AI systems
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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, WA, Seattle - 108,300.00 - 160,000.00 USD annually
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