Develop and operate shared user-management, account, payment, and web-store platforms supporting multiple F2P and MMO online games. Design scalable systems, tune performance, and maintain reliable service operations.
About this role
This Data Scientist (Fraud Risk) role sits within PayPal’s Paidy business and supports payment and buy-now-pay-later risk decisions. It turns data into solutions for business stakeholders in a domain where Paidy describes using proprietary models and machine learning to underwrite transactions and guarantee payments to merchants.
The work includes developing and implementing data science models and algorithms, analyzing and interpreting complex datasets, and ensuring data quality and integrity. The role also requires collaboration with stakeholders to understand data requirements, optimization of data processes for efficiency and performance, and advanced statistical analysis and reporting. The posting names data science models, algorithms, machine learning, statistical analysis, and reporting, but does not specify a programming stack.
Applicants need at least one year of relevant experience and a bachelor’s degree, or an equivalent combination of education and experience.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
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