Staff 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:

Staff Data Scientist - Product Data Science

Job Description:

About the Role

We’re looking for a Staff Data Scientist to join our Product Data Science team at PayPal—someone who thrives on solving strategic problems with data and delivering insights that drive action, not just reporting. In this high-impact role, you’ll collaborate with senior leaders, influence product direction, and deliver decision-enabling insights grounded in data science to shape product launches, iteration cycles, and growth strategies.

You’ll be a key thought partner across the organization, leveraging PayPal’s vast data assets to deliver actionable insights, deepen our understanding of the PayPal consumer experience, and help shape the future of commerce.

What You’ll Do

Key Roles and Responsibilities include: 

• Act as a strategic partner to product and business leaders, shaping priorities, framing key questions, and identifying opportunities where data can influence decision-making and accelerate growth.
• Collaborate with software and data engineering teams to ensure scalable data pipelines, instrumentation quality, and alignment with PayPal’s long-term data and experimentation strategy.
• Lead end-to-end execution of A/B tests and causal analyses to evaluate feature performance, optimize user experience, and guide roadmap decisions.
• Conduct deep-dive analyses on customer behavior, product usage, and key business trends to identify insights that drive growth and retention.
• Define success metrics and develop automated monitoring frameworks that reflect experimentation standards and support scalable decision-making.
• Synthesize findings into clear, compelling data stories for executive audiences, enabling confident, data-informed decisions.
• Champion experimentation best practices and help evolve PayPal’s measurement frameworks, platform capabilities, and tooling.
• Mentor junior data scientists, fostering technical development, problem-solving excellence, and business acumen across the team.

Requirements

• Educational background in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, or Engineering); advanced degree preferred.
• 9+ years of hands-on experience in data science or analytics roles, with a strong track record of driving impact in product-oriented environments.
• Expertise in controlled experimentation—including the design, execution, and analysis of tests that guide product launches, feature iteration, and strategic decision-making.
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