Senior Data Scientist, IES CFX & Prime
Amazon Web Services (AWS) (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 35–60 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy end-to-end machine learning systems analyzing millions of customer interactions daily across 10+ countries.
- Create scalable abuse-detection models to identify fraudulent behaviors, account manipulations, and customer risk.
- Innovate with GenAI technology to automate customer promotion solutions and collaborate with cross-functional teams for scalable ML deployments.
Minimum Requirements
- 8+ years of data scientist experience including data querying (e.g., SQL) and scripting (e.g., Python) or statistical software (e.g., R, SAS).
- Strong foundation in machine learning and statistical modeling, including experience with multinomial logistic regression.
- Experience deploying machine learning solutions into production environments.
- Willingness to travel to Mexico and Brazil; ability to work CET hours for cross-region collaboration.
Ideal Candidate Profile
- Senior-level data scientist capable of end-to-end ML lifecycle ownership including feature engineering, modeling, and model productionization.
- Experience working in global, cross-functional teams, managing scalable systems impacting millions of customers.
- Demonstrated ability in leadership or mentoring roles within data science teams is preferred but not mandatory.