Are you passionate about applying machine learning and advanced statistical techniques to protect one of the worlds largest online marketplaces Do you want to be at the forefront of developing innovative solutions that improve Amazons customers experience Do you thrive in a team-oriented environment where diverse perspectives drive breakthrough solutions

If yes we invite you to join the Amazon Customer Fulfillment & Prime analytics team. Were seeking an exceptional scientist who can revolutionize how we delight our customers. As a key member of our team youll develop and deploy machine learning systems that analyze millions of customer interactions daily ensuring state of art experience for customers across 10 countries. Your work will directly impact the shopping experience for hundreds of millions of customers worldwide.

Key job responsibilities
Ability to work independently across the end-to-end ML lifecycle: feature engineering modeling and MLOps to productionize models.
Strong foundation in machine learning and statistical modeling.
Experience deploying ML solutions into a production environment.
Apply machine learning and statistical techniques to create scalable abuse-detection solutions that identify fraudulent customer behavior rings of accounts identity change holistic customer risk and marketplace manipulation schemes.
Innovate with the latest GenAI technology to build highly automated solutions for efficient customer promotions.




Collaborate with cross-functional teams to develop comprehensive ML/statistical models that scale to millions of customers across 10 countries.
Willing to travel to Mexico (MX) and Brazil (BR).
Comfortable working CET hours to maintain overlap with Mexico and Brazil business teams.

About the team
Youll be working closely with business partners science and engineering teams to create end-to-end scalable machine learning solutions that address real-world problems. You will build scalable efficient and automated processes for large-scale data analyses model development model validation and model implementation.

You will also be providing clear and compelling reports for your solutions and contributing to the ongoing innovation and knowledge-sharing that are central to the teams success.

- 8 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 8 years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression

- Experience as a leader and mentor on a data science team

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

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Required Experience:

Senior IC

📌 Senior Data Scientist, IES CFX & Prime (Bengaluru)
🏢 Amazon
📍 Bengaluru