Data Scientist II, ISS

At Amazon we strive to be Earths most customer-centric company where customers can find and discover anything they want to buy online. Our mission in International Seller Services (ISS) is to provide technology solutions for improving the seller and customer experience drive seller compliance maximize seller success and improve internal workforce productivity. Teams main focus is to build products that are scalable across different regions of the world while working in partnership with ISS regional stakeholders and multiple partner teams across Amazon.

As a Data Scientist you will be responsible for modeling complex problems discovering insights and building risk algorithms that identify opportunities through statistical models machine learning and visualization techniques to improve operational efficiency.

As a Data Scientist you will leverage your expertise in Machine Learning Natural Language Processing (NLP) and Large Language Models (LLM) to develop innovative solutions for Amazons ISS team. Youll be responsible for modeling complex problems building innovative algorithms and discovering actionable insights through statistical models and visualization techniques to enhance operational efficiency in the e-commerce space. The role combines usage of latest AI technology with practical business applications requiring someone passionate about transforming the way we interact with technology while delivering measurable impact through advanced analytics and machine learning solutions.

You will need to collaborate effectively with business and product leaders within ISS and cross-functional teams to build scalable solutions against high organizational standards. The candidate should be able to apply a breadth of tools data sources and Data Science techniques to answer a wide range of high-impact business questions and proactively present new insights in concise and effective manner.
The candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business.

Responsibilities: - Analyze terabytes of data to define and deliver on complex analytical deep dives to unlock insights and build scalable solutions through Data Science to ensure security of Amazons platform and transactions

- Build Machine Learning and/or statistical models that evaluate the transaction legitimacy and track impact over time

- Ensure data quality throughout all stages of acquisition and processing including data sourcing/collection ground truth generation normalization transformation and cross-lingual alignment/mapping

- Define and conduct experiments to validate/reject hypotheses and communicate insights and recommendations to Product and Tech teams

- Develop efficient data querying infrastructure for both offline and online use cases

- Collaborate with cross-functional teams from multidisciplinary science engineering and business backgrounds to enhance current automation processes

- Learn and understand a broad range of Amazons data resources and know when how and which to use and which not to use.

- Maintain technical document and communicate results to diverse audiences with effective writing visualizations and presentations



Key job responsibilities
Analyze terabytes of data to define and deliver on complex analytical deep dives to unlock insights and build scalable solutions through Data Science to ensure security of Amazons platform and transactions


Build Machine Learning and/or statistical models that evaluate the transaction legitimacy and track impact over time

Ensure data quality throughout all stages of acquisition and processing including data sourcing/collection ground truth generation normalization transformation and cross-lingual alignment/mapping

Define and conduct experiments to validate/reject hypotheses and communicate insights and recommendations to Product and Tech teams

Develop efficient data querying infrastructure for both offline and online use cases

Collaborate with cross-functional teams from multidisciplinary science engineering and business backgrounds to enhance current automation processes

Learn and understand a broad range of Amazons data resources and know when how and which to use and which not to use.

Maintain technical document and communicate results to diverse audiences with effective writing visualizations and presentations

- 2 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
- Experience applying theoretical models in an applied environment

- Experience in Python Perl or another scripting language
- Experience in a ML or data scientist role with a large technology company

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