PayPal Fraud Data Scientist 2 Job Opportunity

At PayPal (NASDAQ: PYPL), we believe everyone has the right to participate fully in the global economy. Our mission is to revolutionize commerce globally, making moving money, selling, and shopping personalized and secure.

Job Description Summary

Role Overview: PayPal's Global Investigations (GI) is searching for a highly talented, self-motivated, and analytical individual to join our Fraud Science and Intelligence Team (FSI).

Meet Our Team

The mission of Fraud Science and Intelligence (FSI) is to identify and disrupt sophisticated criminal networks targeting PayPal, safeguarding our platform, and protecting our customers. Driven by collaboration and innovation, FSI integrates cutting-edge data analytics, innovative fraud detection techniques, and advanced threat intelligence to combat financial fraud. Our efforts extend across PayPal, driving advancements in fraud prevention, product security, and loss mitigation.

Job Description

Your Impact

As an FSI Data Scientist, you will identify complex fraud patterns through data mining, graph data science, and developing internal investigative software. Your research aims to connect disparate fraud trends, track threats across the enterprise, and support PayPal’s Global Financial Crimes organization by enhancing fraud risk controls, recovering funds from bad actors, and furnishing timely intelligence data to pinpoint abusive activity on the platform.

Your Day-to-Day Responsibilities

• Develop and deploy algorithms for linking, clustering, and pattern recognition based on varied attributes.
• Apply statistical methods to identify fraud patterns from multiple data points.
• Create and select relevant features from raw data for use in FSI’s fraud linking framework.
• Continuously improve the speed, reliability, and scalability of FSI tools.
• Leverage partner teams’ investigative findings to rapidly deploy new fraud identification techniques.
• Identify opportunities to extend FSI linking solutions with internal partners’ technology stacks for holistic fraud prevention.
• Lead FSI’s engagement with PayPal’s data science and technology organizations.

What You Need to Bring

• Skilled in performing exploratory data analysis to identify patterns, trends, and anomalies.
• Proficient in cleaning and preprocessing large datasets to ensure accuracy and consistency.
• Strong SQL experience to create, maintain, and optimize complex queries and database structures.
• Advanced proficiency in Python with experience in string processing and pattern recognition libraries and tools.
• Understanding of financially motivated cybercrime trends and typologies.
• Team player, energetic personality, curiosity, and efficiency in a fast-paced, changing environment.

We understand that confidence gaps and imposter syndrome can inhibit spectacular candidates from applying. Please don't hesitate to apply.

Additional Job Information

Subsidiary: PayPal

Travel Percent: 0%

Our Benefits

At PayPal, we’re dedicated to building an equitable and inclusive global economy. Our mission is supported by our most important asset—our employees. We offer benefits that help you thrive at every life stage, including a flexible work environment, employee share options, health and life insurance, and more. To learn more about our benefits, visit

Learn More About Us

PayPal has revolutionized global commerce for over 25 years. We create innovative experiences making money movement, selling, and shopping simple, personalized, and secure. Join us in empowering consumers and businesses in approximately 200 markets to thrive in the global economy. For more information, visit , , and .

PayPal provides equal employment opportunities (EEO) to all individuals regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sexual orientation, gender identity or expression, genetic information, marital status, or veteran status. We also offer reasonable accommodations for individuals with disabilities. If you are unable to submit an application due to assistive technology or disability,