Sr Data Scientist

PayPal is hiring a Senior Data Scientist to develop data-driven strategies for managing payment disputes and chargebacks. The role analyzes transaction and dispute data, builds risk insights and solutions, and partners across fraud prevention, customer service, compliance, and technology teams to improve outcomes and operational effectiveness.

Responsibilities

• Develop, optimize, and execute data-driven strategies to identify, analyze, and manage payment disputes and chargebacks
• Leverage large datasets to improve dispute resolution outcomes, minimize financial losses, and support operational effectiveness
• Work cross-functionally with fraud prevention, customer service, and compliance teams to design actionable insights and scalable solutions to address the root causes of disputes and improve both customer satisfaction and operational efficiency
• Analyze large volumes of transaction, dispute, and chargeback data to identify trends, root causes, and fraud patterns
• Develop and optimize dispute strategies for PayPal, leveraging knowledge of U.S. or international financial markets, card networks, and customer spending behavior
• Create business cases in support of new risk policies, vendor integrations, and PayPal dispute infrastructure enhancements
• Develop post-transaction risk requirements for product initiatives and prioritize said requirements with partner teams
• Collaborate with other PayPal business and technology groups to ensure the optimal deployment of payment solutions to satisfy customer needs and corporate objectives
• Monitor regulatory trends and card network requirements related to disputes and chargebacks, and ensure compliance through ongoing analysis and reporting

Skills

• Minimum Requirements: Master's degree, or foreign equivalent, in Data Science, Statistics, Business Analytics, or a closely related field, plus three years of experience in the job offered or a related occupation
• Employer will accept a bachelor's degree, or foreign equivalent, in Data Science, Statistics, Business Analytics, or a closely related field, plus five years of experience in the job offered or a related occupation
• Experience with Python and SQL for data analysis, automation, and pipeline development (3 years)
• Experience with Machine Learning models for predictive analytics (2 years)
• Experience collaborating cross-functionally with fraud prevention, compliance, and partner teams to develop risk strategies, analytics dashboards, and post-transaction risk requirements for product initiatives (3 years)
• Experience with PL/SQL for developing procedures targeting high-risk transaction identification and risk mitigation (2 years)
• Experience with large-scale transaction data analysis to identify emerging fraud patterns and support chargeback/dispute resolution (2 years)
• Experience with Fraud and Risk Management, including transaction monitoring, pattern analysis, and risk strategy development (3 years)
• Experience with ETL processes, data cleaning, and data transformation for large-scale datasets (3 years)
• Experience with U.S. financial market regulations and resolution frameworks (2 years)
• Experience with network compliance requirements and card scheme regulations, including Visa and Mastercard operating rules (3 years)
• Experience with data visualization platforms (2 years)
• Must be legally authorized to work in the U.S. without sponsorship

Benefits

• Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.
• For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace.
• Comprehensive, choice-based programs to support physical, emotional, and financial wellbeing.
• Generous paid time off.
• Healthcare coverage for you and your family.
• Resources to create financial security and support your mental health.

Company Overview