PayPal, a global leader in financial technology, is seeking a Data Scientist 1 to join their Global Fraud Prevention team. This role offers an exciting opportunity to work at the intersection of ePayments, lending, and online risk management.
The position is part of the Fraud Prevention team for Global Merchant Lending products, where you'll play a crucial role in preventing and mitigating fraud risk. Your work will directly impact PayPal's bottom line and customer experience, making this an influential position within the organization.
As a Data Scientist, you'll be responsible for designing and executing fraud prevention strategies for global merchant lending products. The role involves working with large, complex datasets to make data-driven decisions and answer critical business questions. You'll be tasked with identifying opportunities within PayPal's Fraud Risk controls and developing solutions that balance user experience, business enablement, and risk management.
The ideal candidate should have a strong quantitative background with a bachelor's degree in Mathematics, Statistics, Operations Research, Finance, Economics, or a related field. With 3+ years of credit or fraud risk analytics experience, you'll need to demonstrate exceptional problem-solving abilities and strong analytical thinking. Proficiency in Python, R, and SQL is essential, along with excellent communication skills to explain complex findings to both technical and non-technical audiences.
PayPal offers a competitive compensation package ranging from $72,700 to $176,000, along with comprehensive benefits including medical, dental, vision coverage, equity, and retirement plans. The company embraces a balanced hybrid work model with 3 days in the office and 2 days flexible between office and home.
Join PayPal's mission to democratize financial services and work with a diverse, global team that values inclusion, innovation, collaboration, and wellness. This role offers excellent growth opportunities and the chance to make a significant impact in global financial technology.