Job Summary:

Job Description:

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

Job Duties: Lead Data Science initiatives within the Pricing Optimization team to drive data-informed pricing decisions. Analyze large, multidimensional datasets and translate findings into actionable insights. Conduct hypothesis testing, statistical inference, and regression analysis to support decision-making. Manage and derive insights from large, complex, and unstructured datasets. Develop machine learning and statistical models to identify pricing targets and treatment strategies that protect margin and sustain merchant engagement. Design and implement experimentation frameworks to evaluate pricing sensitivity and optimize incentive strategies. Collaborate cross-functionally with Product, Engineering, and Finance teams to influence pricing decisions and roadmap priorities. Partial telecommuting permitted from within a commutable distance.

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

Special Skill Requirements:

1. Experience with scripting languages: Python (Pandas, NumPy, Scikit-learn, and Statsmodels), and SQL, for data manipulation and modeling (5 years)

2. Experience working with large, complex, and high-dimensional datasets in a production environment (5 years)

3. Experience in statistical analysis, hypothesis testing, and regression (5 years)

4. Experience communicating with cross-functional executive stakeholders, driving alignment on high-impact data science initiatives, and influencing non-technical stakeholders to drive business impact (5 years)

5. Experience with pricing science concepts, including elasticity, marginal value, and segmentation (2 years)

6. Experience with causal impact modeling techniques, including Propensity Score Matching and Difference-in-Differences (2 years)

7. Experience with supervised learning (e.g., regression, classification) and unsupervised learning (e.g., clustering, dimensionality reduction) methods (5 years)

8. Experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable business insights and solutions (6 years)

9. Experience with statistical inference techniques for complex business scenarios, including hierarchical modeling and Bayesian approaches (5 years)

10. Experience designing experimentation frameworks and mentoring teams on best practices in large-scale A/B and multivariate testing (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 | $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.