Data Scientist II, Central Seller Fulfillment

We are seeking a stellar Data scientist who has experience developing science products drive conversations with business stakeholders and visible customer impact. We would prefer if your previous work has been in scalable Agentic RL or forecasting products. Strong academic background in Statistics Machine Learning & Science is required with white paper publications/science cast studies about your work being a plus.

Masters degree in statistics CS or ML related fields
Scientist/Tech Lead creating and shipping impactful ML products.
Ability to write clear structured and modularized scripts in Python.
Expertise in ML & Deep Learning frameworks such as Tensorflow Keras and Pytorch & Agentic frameworks such as LangChain Crew AI etc.
Industry experience working with complex AI systems.
Experience and technical expertise across various science domains. Crucial ones being statistics deep & machine learning.
Experience creating data pipelines & proficient in querying data from Spark/HIVE/Redshift/other large scale data warehousing platforms.
Expert in distilling informal customer requirements into problem definitions dealing with ambiguity and formulating ML products to solve these problems.


Key job responsibilities
In this position you will be a key contributor (with direct leadership visibility) building productionizing (real & batch) and measuring impact of state of the art personalized Gen AI systems for Amazon global selling partners and contribute to Amazon wide research in this area in the form of publications and white papers. You will work with global leaders and teams across time zones on a regular basis.

About the team
Millions of Sellers list their products for sale on the Amazon Marketplace. Sellers are a critical part of Amazons ecosystem to deliver on our vision of offering the Earths largest selection and lowest this ecosystem our team plays a critical role in enabling Sellers across EU5 China Japan Australia Brazil and Turkey to make their Selection available to customers globally and deliver the experience they have come to expect from Amazon.

We help independent sellers compete against our first-party business by investing in and offering them the very best selling tools we could imagine and build. We are pushing the boundaries of these machine learning tools in areas of Agentic recommendation and forecasting systems to help our sellers sell more and across borders.

- 3 years of data scientist experience
- 3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
- 1 years of guiding and coaching a group of researchers experience
- 1 years of working with or evaluating AI systems experience
- 1 years of creating or contributing to mathematical textbooks research papers or educational content experience
- Masters degree in Science Technology Engineering or Mathematics (STEM) or experience working in Science Technology Engineering or Mathematics (STEM)
- Experience applying theoretical models in an applied environment

- Ph.D. in Science Technology Engineering or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python Perl or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience working on multi-team cross-disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication

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