Data Scientist

The Company

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. 

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.  Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. 

Our beliefs are the foundation for how we conduct business every day.  We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Summary:

The BNPL Analytics team is looking for a data scientist who is strong at generating valuable insights from data through deep dive analysis, experienced at supporting new product launches by establishing test and control plans and ensuring constant monitoring is in place to track product performance.
The BNPL analytics team partners with commercial leaders and product managers to shape the strategy of the Buy Now Pay Later suite of products at PayPal through data driven decision making.

Job Description:

Your way to impact

• You believe in data-driven decisions and use data to answer business questions
• You are hyper-analytical, intellectually honest, and extremely passionate about data and testing (e.g., A/B experimentation)
• You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidance
• You are energized, fun-loving and an adventurous team player

Your day to day

• Help to launch, measure, and scale new solutions to improve customers’ experiences with the PayPal App and website
• Identify new opportunities through deep dive analyses leveraging our rich datasets of behavioral and transactional user data
• Translate ambiguous, unstructured business problems into actionable and data-driven analyses
• Size potential impact of new ideas to help prioritize product roadmaps
• Bring clarity to the performance of our key metrics and flows through well-designed dashboards and reports
• Partner closely with product leaders to understand new product offerings being built and recommend the right metrics to measure the performance of those features
• Define and cultivate best practices in analytics instrumentation and experimentation
• Support multiple projects at the same time in a fast-paced, results-oriented environment

What do you need to bring

• Data-driven mindset with a degree in any quantitative discipline such as Engineering, Computer Science, Economics, Statistics or Mathematics
• At least 3 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
• Experience influencing product strategy through analyses and data-centric presentations
• Understanding of statistics (e.g. hypothesis testing, statistical inference, regression) and experience designing and evaluating complex experiments
• Fluent in SQL and experience with at least one scripting language (Python or R), comfortable with working with large, complex,