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# Sr Data Scientist

- **Company:** PayPal
- **Location:** Chicago, IL, United States (Remote available)
- **Experience:** Expert
- **Salary:** $119,558.0 - $199,500.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Data Visualization, Database Development, Fraud Prevention and Detection, Python (Programming Language), SQL Databases, Tableau (Software), Information Technology, Data Analytics
- **Published:** August 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=1887deb46fb6dd04

## About the Role

commutable distance.

Minimum Requirements: Master's degree, or foreign equivalent, in Data Science, Business Analytics, Statistics, Computer Science, or a closely related field plus three years of experience in the job offered or a related occupation.

Special Skill Requirements:

 1. Experience in fraud detection and risk analytics within large financial services or technology sector (3 year/s)

 2. Experience collaborating with cross-functional teams including compliance, legal, and technology stakeholders (3 year/s)

 3. Experience implementing and refining fraud defense strategies (3 years)

 4. Experience in developing decisioning frameworks, conducting statistical analysis, and delivering measurable business impact through data-driven solutions. (3 year/s)

 5. Proficiency in SQL, Python, and data visualization tools (Tableau or similar) (3 year/s)

 6. Experience in production process automation. (3 year/s)

 7. Experience in database design and development (3 year/s)

Additional Responsibilities & Preferred Qualifications:

EOE, including disability/vets.

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

## Description

Job Duties: Collaborate across teams to define and measure key success metrics and uncover insights that inform strategic decisions. Translate business challenges into data-driven problems and design appropriate data science solutions, including metrics and analytics, experimentation, and business intelligence. Conduct sound statistical analysis for programs and A/B testing experiment to recognize the patterns that lead to actional insights. Build and continuously enhance models and analytical framework to support risk initiatives and its wider implication with cross functional partners, e.g. finance, product etc. Influence partners and drive impactful change through the structure and clarity of analysis and recommendations. Effectively communicate insights to risk senior leadership to enable executive level decision making and follow-ups. Champion data quality, accessibility, and democratization of data across the organization. Partial telecommuting permitted from within a


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