Staff Data Scientist

PayPal • San Jose, CA

1d • 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 Statistics, Mathematics, or a closely related field plus five years of experience in the job offered or a related occupation.
• Experience with analytics, including querying large datasets, building dashboards, and translating complex data into actionable insights to inform product and business decisions (5 years).
• Experience in statistics, including hypothesis testing, regression analysis, confidence intervals, and statistical modeling (5 years).
• Experience writing complex SQL queries to extract, manipulate, and analyze large datasets, enabling efficient data exploration and supporting data-driven decision-making (5 years).
• Experience in product data science, partnering with cross-functional teams to define success metrics, design experiments, analyze user behavior, and deliver insights that drive product strategy and improve user outcomes (5 years).
• Experience in designing, implementing, and analyzing A/B tests to drive product decisions and optimize user experiences (3 years).
• Experience applying causal inference techniques—such as difference-in-differences, propensity score matching, and synthetic controls—to isolate the true impact of product changes and strategic interventions in observational data settings (2 years).
• Experience using Python for data analysis, including data wrangling with pandas, statistical modeling, visualization, and building scalable data pipelines and experimentation frameworks (2 years).

Responsibilities

• Identify key metrics, conduct rigorous explorative data analysis, create executive facing dashboards and build business cases that drive decision making and business prioritization.
• Analyze large, multi-dimensional data sets and synthesize insights into actionable business solutions.
• Partner closely with Product Managers to analyze new product offerings being built and recommend the right metrics to measure the performance of those features.
• Analyze identity product performance and health, triage issues, and provide recommendation on the best course solution and optimization.
• Synthesize large volumes of data with attention to granular details and present findings and recommendations to senior-level stakeholders.
• Define and cultivate best practices in analytics instrumentation and experimentation.
• Provide strategic and tactical guidance on specific data elements that need to be tracked to enable tracking of metrics and assess user behavior.
• Collaborate with data platform teams to build/enhance necessary data platforms to provide metrics and business insights and build alerts to monitor those metrics.

What This Job Offers

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