Senior Data Scientist

Job Summary

A company is looking for a Senior Data Scientist - Fraud Data Infrastructure & Automation.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and workflows for analytics and fraud detection
• Leverage AI and LLM-powered systems to automate data analysis and enhance insight generation
• Own data quality and integrity, implementing monitoring and validation checks for critical datasets

Required Qualifications

• Master's or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or related field
• 5+ years of experience in data science, machine learning, or related roles, preferably in tech or fintech
• Experience in fraud prevention, risk modeling, or identity verification with high-risk data
• Strong proficiency in Python and SQL, with experience in major ML libraries/frameworks
• Experience building and maintaining data pipelines in distributed environments (e.g., Spark, Airflow)