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# Manager, Data Science

- **Company:** PayPal
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $160,500 - $238,700
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Python (Programming Language), SQL Databases
- **Published:** October 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a2a8a26fd9bf77c7

## About the Role

* 5+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience., + Experience managing credit risk for a BNPL or install loan product
 + Proficiency in SQL and Python, or a similar language

## Description

This job will design and implement credit risk strategies for the BNPL product. You will work with stakeholders across the business, including product, sales, marketing, finance, and collections to achieve business goals. You will work with legal, compliance, and engineering teams to implement, test, and monitor credit risk strategies and their performance., * 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 a culture of continuous learning and improvement., + Implement credit risk strategies that continue to grow our BNPL products, in a responsible manner
 + Design tests to continuously learn about our customers
 + Align priorities with relevant stakeholders across the business
 + Collaborate with legal, compliance, product, and engineering teams to ensure policies are implemented on time and with appropriate monitoring and controls
 + Take a proactive approach to influence decisions that impact all aspects of the application funnel, The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is, Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.

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, ensuring that you equally have the benefits and conveniences of both locations.