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Senior Data Scientist

Remote (ArgentinaBrazilChile)Full-timePosted Oct 9, 2026

Job description

We are seeking a Lead Data Scientist to build, test, and deploy automated fraud detection systems that reduce payment fraud, chargebacks, and ecosystem exploits. You will deliver production-ready models, pipelines, and documentation while partnering closely with fraud operations.

Responsibilities

Design automated fraud detection systems to mitigate payment fraud, chargebacks, and ecosystem exploits Build and deploy machine learning models to identify and prevent credit card fraud and chargebacks Implement real-time preventative purchase rule optimization to reduce risk while maintaining purchase flow performance Develop anomaly detection models to replace manual fraud analysis workflows Engineer and operate data pipelines that support production fraud detection and monitoring Deliver comprehensive technical documentation covering model architecture, pipelines, and detection logic Coordinate knowledge transfer and offboarding support to transition stabilized systems to internal team members Prioritize and deliver high-impact detection capabilities on an accelerated timeline ahead of major releases and sales events Requirements 5+ years of data science experience with production machine learning systems 5+ years of Python experience for data analysis and model development 5+ years of experience in machine learning model development and deployment 3+ years of experience in fraud detection for payments or chargeback prevention Strong leadership skills to drive high-impact delivery and align stakeholders Strong project execution skills to deliver rapid rollouts ahead of major releases and sales events Strong applied ML skills including additive machine learning models and anomaly detection approaches Strong real-time data processing skills to support low-latency detection and prevention Strong analytical skills to translate fraud patterns into measurable detection logic Strong collaboration skills to partner with fraud operations and replace manual workflows Strong communication skills to produce clear technical documentation and knowledge transfer materials Upper-Intermediate English proficiency (B2) Nice to have Databricks Anthropic Claude Code

Description copied from EPAM Systems's careers page. Read the full posting before you apply.

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