PayPal is seeking a Data Scientist to join their BNPL Analytics team, focusing on Buy Now Pay Later products. This role combines deep analytical expertise with product strategy to drive data-informed decisions. The position offers an opportunity to work with vast datasets of user behavior and transactions, directly impacting PayPal's product development and customer experience.
The ideal candidate will be part of a dynamic team that shapes PayPal's BNPL strategy through rigorous analysis and experimentation. You'll work in a hybrid environment, collaborating with product leaders to launch and measure new solutions, while having the flexibility of both office and remote work.
PayPal offers a comprehensive benefits package including medical coverage, equity, retirement plans, and unique perks like a 4-week sabbatical program. The company's mission to democratize financial services creates a meaningful context for your work, as you'll be contributing to making financial services more accessible globally.
This role is perfect for a data-driven professional who combines strong technical skills with business acumen. You'll need expertise in SQL, Python or R, and statistics, along with the ability to communicate complex findings to stakeholders. The position offers competitive compensation, professional growth opportunities, and the chance to impact how millions of people interact with financial services.