Job Summary:

Job Description:

PayPal, Inc. seeks Sr Data Scientist in Chicago, IL

Job Duties: Apply advanced analytical and technical skills to research multi-dimensional data sets, implement continuous monitoring protocols, and develop complex algorithmic logics that identify and prevent fraudulent activity on Venmo and PayPal's platforms in real-time. Design, construct, and validate statistical models to transform raw transactional data into actionable insights for fraud detection. Leverage advanced data analytics and statistical methodologies to identify emerging fraud patterns and trends across payment ecosystems. Develop, implement, and maintain sophisticated real-time risk assessment solutions that carefully balance organizational loss appetite, user experience metrics, and product financial performance KPIs. Conduct rigorous A/B testing to evaluate the effectiveness of fraud detection models and risk controls, measuring the statistical significance of results and implementing enhancements based on findings. Create and maintain comprehensive data visualization dashboards that track key risk metrics, providing stakeholders with actionable intelligence on fraud trends and control effectiveness. Perform detailed root cause analysis of fraud cases and security breaches, identifying systemic vulnerabilities and developing technical solutions to address them. Partner cross-functionally with Product Management and Business Unit organizations to support new product launches, conducting thorough risk assessments and creating comprehensive risk mitigation requirements. Work closely with risk product engineering teams to translate complex risk requirements into technical specifications, ensuring accurate implementation and seamless delivery of fraud prevention capabilities. Develop and document risk frameworks and methodologies that allow for consistent evaluation and mitigation strategies across diverse product offerings. Present complex analytical findings to senior leadership and non-technical stakeholders, translating technical concepts into business-relevant insights. Maintain current knowledge of evolving fraud methodologies, financial industry regulations, and technological advancements in the risk management field, applying this knowledge to continuously improve fraud prevention systems. Mentor junior analysts in advanced statistical techniques and fraud detection methodologies, supporting knowledge transfer across the risk organization. Partial telecommuting permitted from within a commutable distance.

Minimum Requirements: Master's degree, or foreign equivalent, in Data Science, Information Systems, or a closely related field plus two years of experience in the job offered or a related occupation. Employer will accept a Bachelor's degree, or foreign equivalent, in Data Science, Information Systems, or a closely related field plus five years of progressively responsible experience in the job offered or a related occupation.

Special Skill Requirements:

1. Data Analytics (2 years)

2. SQL (2 years)

3. Big Query (2 years)

4. Statistical Analysis (2 years)

5. Python (2 years)

6. Tableau (2 years)

7. Data Mining (2 years)

8. Data Cleaning (2 years)

9. Experience supporting new product initiatives (2 years)

10. Financial analysis (2 years)

11. Hadoop, Hive, and Jupyter Notebooks (2 years)

12. GitHub (2 years)

13. Data warehouse and data pipeline (2 years)

Additional Responsibilities & Preferred Qualifications:

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:

Primary Location | Pay Range:

Chicago, IL | Salary: $142,210.00-221,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.

Must be legally authorized to work in the U.S. without sponsorship.

Subsidiary:
PayPal

Travel Percent:
0

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.

Our Benefits:

At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing-physical, emotional, and financial-delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.

Any general requests for consideration of your skills, please Join our Talent Community.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.