Staff Data Scientist

PayPal • San Jose, CA

2d • Hybrid

About The Position

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: Job Description: PayPal, Inc. seeks Staff Data Scientist in San Jose, CA

Requirements

• Master’s degree, or foreign equivalent, in Computer Science, Engineering, Statistics, or a closely related field plus six years of experience in the job offered or a related occupation. Employer will accept a Bachelor’s degree, or foreign equivalent, in Computer Science, Engineering, Statistics, or a closely related field plus eight years of experience in the job offered or a related occupation.
• Experience analyzing massive datasets using SQL and distributed systems (Hive, Presto, or BigQuery) with a focus on performance and data quality (6 years).
• Experience communicating analytical insights through clear visualizations and narratives using Tableau and Python to influence product strategy (6 years).
• Experience designing and analyzing controlled experiments and applying rigorous statistical inference to evaluate product and business impact (5 years).
• Experience in causal modeling techniques such as propensity score matching, difference-in-differences, and instrumental variables to uncover true treatment effects (5 years).
• Experience building and validating statistical and machine learning models in Python for segmentation, prediction, and behavioral insights (4 years).
• Experience in development of scalable experimentation framework/platform and measurement pipelines to enable robust and automated impact evaluation (4 years).
• Experience defining success metrics and KPIs to measure business outcomes, translating statistical findings into actionable recommendations (4 years).
• Experience in applied causal inference methods to measure marketing effectiveness, including MMM and geo-experiments, to optimize campaign performance (2 years).
• Experience in statistical modeling for financial risk and anomaly detection problems, ensuring rigor in regulated and high-stakes domains. (2 years).

Responsibilities

• 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.
• Synthesize findings into clear, compelling data stories for executive audiences, enabling confident, data-informed decisions.
• Shape priorities, framing key questions, and identifying opportunities where data can influence decision-making and accelerate growth.
• Define success metrics and develop automated monitoring frameworks that reflect experimentation standards and support scalable decision-making.
• 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.
• Mentor junior data scientists, fostering technical development, problem-solving excellence, and business acumen across the team.
• Champion experimentation best practices and help evolve PayPal’s measurement frameworks, platform capabilities, and tooling.
• Utilize expertise with controlled experimentation—including the design, execution, and analysis of tests that guide product launches, feature iteration, and strategic decision-making.

Benefits

• At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset-you. That’s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level