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# Sr Data Scientist

- **Company:** PayPal
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $130,500 - $193,600
- **Contract:** Permanent contract
- **Skills:** Fraud Prevention and Detection, Python (Programming Language), SQL Databases, Performance Monitor
- **Published:** October 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4e1bb94d0710a337

## About the Role

* 3+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience., * Bachelor's degree or higher in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline
 * 3+ years proven credit or fraud risk analytics experience or equivalent
 * Must be an intuitive, organized analytical thinker, exceptional problem solver with the ability to perform detailed analysis
 * Strong written, oral, and interpersonal skills a must including the ability to explain and/or present analysis
 * Aptitude and willingness to roll-up the sleeves and get involved in the details
 * Must have good business judgment with demonstrated ability to think creatively and strategically
 * Ability to work with leadership & stakeholders to define project scope and direction, driving large pieces of the work independently
 * Ability to maintain a flexible work schedule to collaborate effectively with teams across multiple time zones
 * Proficient in Python, SQL

## Description

This job will lead the development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists., * Lead the development and implementation of advanced data science models.

 * Collaborate with stakeholders to understand requirements.
 * Drive best practices in data science.
 * Ensure data quality and integrity in all processes.
 * Mentor and guide junior data scientists.
 * Stay updated with the latest trends in data science., * Conceive, design, and monitor risk management strategies to manage fraud losses and improve business profitability for credit products
 * Identify opportunities and gaps within current portfolio of PayPal's Fraud Risk controls, including continuously evolving fraud trends
 * Formulate & propose solutions to ensure optimal balance between user experience, business enablement, operational expense and loss exposure
 * Effectively communicate complex findings and strategy recommendations to both technical and non-technical audience
 * Monitor performance of existing & new solutions and optimize to ensure desired results Work closely with partners in Risk Platform, Data Science, Operations, Product Management, Legal & Compliance and other teams to formulate and execute fraud risk solutions
*, 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.