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

We offer

- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- General career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

📌 Senior Data Scientist (Argentina)
🏢 EPAM Systems
📍 Argentina