PayPal is seeking a Senior Data Scientist to join their Rewards & Loyalty Analytics team, playing a crucial role in measuring and driving customer engagement through loyalty and offer experiences. This position offers an opportunity to work at one of the world's leading fintech companies, with a focus on data-driven decision making and product optimization.
The role combines technical expertise in data science with business impact, requiring strong analytical skills and the ability to translate complex analyses into actionable insights. You'll be working with large-scale datasets to optimize loyalty incentives, merchant cashback offers, and ads, while employing sophisticated experimentation and causal inference techniques.
As a senior member of the team, you'll not only drive technical solutions but also mentor other data scientists, helping to build and maintain best practices in analytics and experimentation. The position offers competitive compensation ($123,500-$212,850) and comprehensive benefits, including medical insurance, equity, and retirement plans.
The hybrid work environment (3 days office, 2 days flexible) provides a balance between collaborative in-person work and flexibility. PayPal's commitment to diversity, inclusion, and employee development makes this an excellent opportunity for someone looking to make a significant impact in the financial technology sector while growing their career.
The ideal candidate will bring at least 5 years of experience in analyzing large datasets, strong statistical knowledge, proficiency in SQL and Python/R, and a proven track record of driving product strategy through data-centric approaches. This role offers the chance to work on meaningful projects that directly influence how millions of people interact with PayPal's products and services.