Senior Data Scientist - Fraud Data Infrastructure & Automation

Tech Stack

Responsibilities

• Design, build, and maintain scalable data pipelines and workflows using distributed systems like Spark or Airflow to support analytics, fraud detection, and model development.
• Leverage agentic AI and LLM-powered systems to automate data exploration, anomaly detection, and investigative workflows for faster insight generation.
• Build and optimize models using diverse input data types including tabular data, natural language, point clouds, and images for fraud detection and identity verification.
• Own data quality and integrity for critical datasets, implementing monitoring, validation checks, and anomaly detection to ensure reliable input to models.
• Collaborate closely with Product, Engineering, and Risk teams to define data requirements, shape roadmap priorities, and deliver insights that guide strategic decisions.

Culture

Requirements