Data Scientist I
Jobverse.ioAbout the role
Amazon is a global technology and payments company serving sellers and buyers across international marketplaces. The Data Scientist I will build and deploy generative AI applications and real-time statistical and machine learning models for cross-border payments, including FX risk monitoring, seller chatbots, and multi-agent AI tools. The role involves end-to-end data science delivery on AWS, technical communication, and collaboration with engineering, business, and science teams.
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
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
Qualifications
- Requires the ability to develop and tune LLMs and statistical models using large datasets from global marketplaces.
- Must be capable of writing mathematically rigorous technical documentation for both technical and non-technical audiences.
Skills mentioned
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