Data Scientist

Skills

Description

Data Scientists are on the front line of identifying and targeting fraud to keep our millions of users secure and engaged. Risk Data Scientists apply their analytical and technical skills into researching data, monitoring, and creating logics that stop fraudulent activity on PayPal’s platform. They analyze existing loss trends and define logics, solutions and operational processes that prevent them - while delivering best-in-class customer experience for PayPal users.
Risk Data Scientists work closely with one another to align on fraud-prevention methodologies and tools, with Risk Operations, Data Science, InfoSec and with Customer Support, in order to keep learning about current fraud. They also partner closely with the Product teams to define features and integrate risk prevention tools to support business goals.
Our team members are excited about solving analytical problems. They are bright, they are responsible, and they know how to follow through. If you’re also like that, we’d love to hear from you.

Responsibilities

• • Developing expertise in specific areas by leading analytical projects independently, while setting goals, providing benefit estimations, defining workflows and coordinating timelines in advance.
• • Enthusiasm for data-driven problem solving within a fast-paced environment is a must. In addition, experience with Microsoft Excel or statistical software, proficiency in SQL or other relational database languages, is a hard requirement.
• • Fight fraudulent activity by analyzing existing loss trends through review of specific cases, research on our payments database and incorporation of feedback from other teams.
• • Produce accurate, automated risk solutions to block fraudulent activities through various actions.
• • Work closely with product teams on development of new products to identify potential gaps that might create loss and define requirements to mitigate those risks.
• • Have a good understanding of general business trends and directions to be able to relate work in the broader business context.
• • Partner with teams from across the global to identify and react quickly to prevent new and emerging fraud trends, thus preventing losses
• • Develop controls and monitoring dashboards to ensure performance against business goal, regulatory requirements and business priorities.