Sr Data Scientist

About this role

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:

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

Job Duties: Apply advanced analytical and technical skills to research multi-dimensional data sets, implement continuous monitoring protocols, and develop complex algorithmic logics that identify and prevent fraudulent activity on our platforms in real-time. Design, construct, and validate statistical models using advanced analytical tools to transform raw transactional data into actionable insights for fraud detection.  Leverage advanced data analytics and statistical methodologies to identify emerging fraud patterns and trends across payment ecosystems, such as NSF, SF, INR, and SNAD. Develop, implement, and maintain sophisticated real-time risk assessment solutions that carefully balance organizational loss appetite, user experience metrics, and product financial performance KPIs. Conduct rigorous A/B testing to evaluate the effectiveness of fraud detection models and risk controls, measuring the statistical significance of results and implementing enhancements based on findings. Create and maintain comprehensive data visualization dashboards using tools like Tableau or Power BI that track key risk metrics, providing stakeholders with actionable intelligence on fraud trends and control effectiveness. Perform detailed root cause analysis of fraud cases and security breaches, identifying systemic vulnerabilities and developing technical solutions to address them. Partner cross-functionally with Product Management and Business Unit organizations to support new product launches, conducting thorough risk assessments and creating comprehensive risk mitigation requirements. Work closely with risk product engineering teams to translate complex risk requirements into technical specifications, ensuring accurate implementation and seamless delivery of fraud prevention capabilities. Develop and document risk frameworks and methodologies that allow for consistent evaluation and mitigation strategies across diverse product offerings. Present complex analytical findings to senior leadership and non-technical stakeholders, translating technical concepts into business-relevant insights. Maintain current knowledge of evolving fraud methodologies, financial industry regulations, and technological advancements in the risk management field, applying this knowledge to continuously improve fraud prevention systems. Mentor junior analysts in advanced statistical techniques and fraud detection methodologies, supporting knowledge transfer across the risk organization.  Partial telecommuting permitted from within a commutable distance.

Minimum Requirements: Master’s degree, or foreign equivalent, in Data Science, Mathematics, or a closely related field, plus three years of experience in the job offered or a related occupation.

Special Skill Requirements:

1.              Fraud Detection and Root Cause Analysis: Experience performing root cause analysis on fraud cases within financial transaction systems and implementing data-driven mitigation strategies in production. (3 years); 2.              Python for Fraud Modeling: Experience using Python (NumPy, Pandas) for data processing and feature engineering, and applying Scikit-learn for fraud model development on large-scale financial transaction datasets. (3 years); 3.              Risk Metrics Dashboard Development: Experience building Tableau dashboards to monitor fraud risk KPIs for decision-making. (3 years); 4.              Cloud-Based and Distributed Data Analytics: Experience writing complex SQL queries on cloud-based data platforms and working with distributed data systems to analyze large-scale financial transaction data, including building and maintaining data pipelines and workflows in dat

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