Data Scientist
Core
Engineering and end-to-end development of analytical services to provide advanced fraud intelligence by analyzing session and network data.
Role type
Senior Data Scientist (Fraud Detection & AI Engineering)
Builds
Production-grade fraud detection logic, predictive modeling, and AI agents for the Fraud Protection ecosystem.
Domain
Cybersecurity / Anti-fraud / Digital Crime Prevention
Deliverable
production ML models | product features
Required skills
Python 3.10+ (production-grade, asynchronous), pandas, scikit-learn, ETL pipeline development, Git, Docker, Elasticsearch, Cassandra, ClickHouse, AI agent orchestration, tabular data analysis, mathematical algorithms.
Preferred skills
Cybersecurity or anti-fraud sector experience, end-to-end AI agent implementation, networking concepts (hosting, VPN), fraud prevention and network protection understanding.
Responsibilities
Execute data collection and analysis from disparate sources to establish robust ETL pipelines; perform advanced research into fraud mitigation and anomaly detection methodologies; develop and integrate machine learning models and mathematical algorithms; engineer and validate AI Agents for complex analytical operations; analyze session and network data to develop fraud detection logic; synthesize research findings into documentation and presentations.
Seniority
Senior, hands-on IC