Staff Data Scientist

Responsibilities

• Lead and manage data science projects, ensuring timely delivery and alignment with business goals
• Develop and maintain data models, algorithms, and reporting systems to support fraud detection and decision-making
• Analyze complex datasets to identify trends, patterns, and insights that drive strategic fraud prevention initiatives
• Collaborate with cross-functional fraud fighting teams to translate complex analytical findings into actionable intelligence
• Ensure data quality and integrity through regular audits and validation processes
• Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement

Requirements

• 5+ years of relevant experience in data science or a related field
• Bachelor's degree in a quantitative field or equivalent combination of education and experience
• Strong expertise in data modeling and algorithm development
• Proficiency in statistical analysis and interpreting complex data patterns

Preferred Qualifications

• Experience in financial services, payments, or fraud prevention environments
• Understanding of fraud attack vectors, regulatory requirements, and industry best practices
• Proven track record of working with cross-functional business teams to provide strategic recommendations

Benefits

• Comprehensive health and wellness programs
• Financial security resources including retirement and investment support
• Generous paid time off and leave programs
• Career and leadership training and development opportunities
• Community involvement and company-matched giving

About the Company

PayPal has been revolutionizing commerce globally for more than 25 years. We empower consumers and businesses in approximately 200 markets to join and thrive in the global economy by creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure.