Manager, Data Science

Manager, Data Science – Pay Pal

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Pay Pal has been revolutionizing commerce globally for over 25 years, creating innovative experiences that simplify moving money, selling, and shopping. The company operates a global two‑sided network that connects millions of merchants and consumers worldwide.

The Global Fraud Prevention team seeks a Data Science Manager to design and execute safer experiences for our users and protect Pay Pal Credit products from fraudsters.

• Lead and manage data science projects, ensuring timely delivery aligned with business goals.
• Develop and maintain data models, algorithms, and reporting systems to support analysis and decision‑making.
• Analyze complex datasets to uncover trends, patterns, and insights that drive strategic initiatives.
• Collaborate with cross‑functional teams to understand data needs and provide actionable insights.
• Ensure data quality and integrity through regular audits and validation processes.
• Mentor and guide junior data scientists, fostering continuous learning and improvement.

• 8+ years of relevant work experience and a Bachelor’s degree or equivalent experience.

• Own & execute fraud prevention strategies for global merchant lending products.
• Utilize large, complex datasets to make data‑driven decisions and answer business questions.
• Guide junior data scientists, fostering a culture of learning and improvement.

• Design and monitor risk management strategies to reduce fraud losses and improve profitability for credit products.
• Identify opportunities and gaps in current fraud risk controls and stay ahead of evolving fraud trends.
• Propose solutions balancing user experience, business enablement, operational expense, and loss exposure.
• Communicate complex findings and recommendations to both technical and non‑technical audiences.
• Monitor performance of existing and new solutions and optimize for desired results.
• Partner with Risk Platform, Data Science, Operations, Product Management, Legal & Compliance, and other teams to develop fraud risk solutions.

• Bachelor’s degree or higher in Mathematics, Statistics, Operations Research, Finance, Economics, or a related quantitative discipline.
• 8+ years of proven credit or fraud risk analytics experience or equivalent.
• Intuitive, organized analytical thinker and problem solver capable of detailed analysis.
• Strong written, oral, and interpersonal skills for explaining and presenting analysis.
• Aptitude and willingness to roll up sleeves and engage in detail.
• Good business judgment with the ability to think creatively and strategically.
• Ability to work with leadership and stakeholders to define project scope and direction independently.
• Flexibility to collaborate across multiple time zones.
• Proficiency in Python, R, SQL, Excel, Power point, and Word.

Pay Pal is committed to fair and equitable compensation practices. The U.S. national annual pay range for this role is $152,500 to $262,350. Compensation may include an annual performance bonus or other incentive, equity, and medical, dental, vision, and additional benefits.

Pay Pal offers flexible work environments, employee share options, health and life insurance, and additional resources to support your wellbeing.

Pay Pal provides equal employment opportunity to all persons regardless of protected characteristics and will provide reasonable accommodations for qualified individuals with disabilities.

Pay Pal strives to create an environment where all employees feel included and valued, fostering a culture of acceptance, security, and belonging.

Please submit your application through the Pay Pal careers site. Pay Pal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding.