Manager, Data Science

PayPal • Chicago, IL

3d • $160,500 - $238,700 • Hybrid

About The Position

The Manager, Data Science will design and implement credit risk strategies for PayPal’s Buy Now, Pay Later (BNPL) product. The role works with business stakeholders—including product, sales, marketing, finance, and collections—to achieve business goals, and collaborates with legal, compliance, and engineering teams to implement, test, and monitor credit risk strategies and their performance.

The position leads data science projects; develops and maintains data models, algorithms, and reporting systems; and analyzes complex datasets to identify insights that support decision-making and strategic initiatives. It also promotes data quality and integrity through audits and validation, provides actionable insights to cross-functional teams, and mentors junior data scientists.

The role implements responsible credit risk strategies to support BNPL growth, designs tests to learn about customers, aligns priorities with business stakeholders, and proactively influences decisions across the application funnel. PayPal’s balanced hybrid work model generally involves three days in the office and two days at either the office or home. The primary location is Chicago, Illinois, with a listed annual base pay range of $160,500 to $238,700. Additional compensation may include an annual performance bonus, equity, or other incentives, as applicable. Travel is listed as 0 percent.

Requirements

• At least 5 years of relevant experience and a bachelor’s degree, or an equivalent combination of education and experience.

Nice To Haves

• Experience managing credit risk for a BNPL or installment loan product.
• Proficiency in SQL and Python, or a similar language.

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 data analysis and decision-making.
• Analyze complex datasets to identify 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.
• Implement responsible credit risk strategies to support growth of BNPL products.
• Design tests to continuously learn about customers.
• Align priorities with relevant stakeholders across the business.
• Work with legal, compliance, product, and engineering teams to implement policies on time with appropriate monitoring and controls.
• Proactively influence decisions that impact all aspects of the application funnel.
• Implement, test, and monitor credit risk strategies and their performance.

Benefits

• Generous paid time off.
• Healthcare coverage for employees and their families.
• Resources to support financial security and mental health.
• Additional compensation may include an annual performance bonus, equity, or other incentive compensation, as applicable.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager