Data Scientist (Fraud Risk)

Responsibilities

• Develop and implement data science models and algorithms to support fraud risk business needs
• Analyze and interpret complex data sets to drive decision-making
• Ensure data quality and integrity across all modeling processes
• Collaborate with cross-functional stakeholders to understand and define data requirements
• Optimize data processes for improved efficiency and performance
• Perform advanced statistical analysis and reporting to monitor risk trends

Requirements

• 1+ years of relevant experience in data science or a related field
• Bachelor's degree in a quantitative field or equivalent combination of education and experience
• Fluency in the Japanese language

About the Company

Paidy is one of Japan’s leading buy now, pay later (BNPL) providers. We create simple, instant experiences to take the hassle out of shopping. As part of PayPal, Paidy leverages global strength while maintaining its unique brand and commitment to the Japanese market, using proprietary machine learning models to underwrite transactions in seconds.