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Jobs · Engineering · Washington

Data Scientist I, Amazon Currency Convertor

Amazon Science · Seattle, WA · 2 wk ago
EngineeringFull-time

About the role

Want to apply data science to one of Amazon’s fastest-growing payment businesses, serving millions of sellers and buyers across 20+ global marketplaces? As a Data Scientist I on the cross-border payments science team, you will build and deploy production models that power real-time FX risk monitoring, generative AI seller chatbots, and multi-agent AI tools. You will work end-to-end—from problem framing through production deployment on AWS—delivering solutions that directly influence billion-dollar payment flows. This is a high-visibility, small-team environment where your work informs senior leadership decisions and creates measurable impact for customers worldwide.

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.

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 experience in an internet-based company with complex and big data sources.
  • 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content.
  • Master’s degree in Science, Technology, Engineering, or Mathematics (STEM), or equivalent STEM experience.

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.

Pay

USA, WA, Seattle — $108,300.00 – $160,000.00 USD annually (base salary range). Final compensation includes sign-on payments and restricted stock units (RSUs).

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