Job Summary:

Job Description:

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

Job Duties: Lead the development and implementation of advanced data science models. Develop cutting edge, scalable and safe products to enhance the experience for PayPal's global customers. Automate manual processes and introduce AI solutions to replace manual work and reduce dependency on human resources. Maintain and enhance data-driven authentication risk strategies to support PayPal's global financial business goals. Identify new and emerging fraud trends and partner with key stakeholders to effectively mitigate those. Partner with ML (Machine Learning) modelers to develop and validate new risk detection models and adopt those into the decision layer. Establish and measure performance against KPIs (Key Performance Indicators) and goals. Serve as subject matter expert in communication with legal and compliance partners. Partial telecommuting permitted from within a commutable distance.

Minimum Requirements: Master's degree, or foreign equivalent, in Economics, Finance, Computer Science, Statistics, Business Analytics, or Engineering with a Data Science specialization, or a closely related field plus five years of experience in the job offered or a related occupation. Employer will accept a Bachelor's degree, or foreign equivalent, in Economics, Finance, Computer Science, Statistics, Business Analytics, or Engineering with a Data Science specialization or a closely related field plus eight years of experience in the job offered or a related occupation.

Special Skill Requirements:

1. Data Analytics using SQL: Experience analyzing and interpreting complex datasets to extract actionable insights and support business decision-making, proficient in writing and optimizing complex SQL queries (5 years)

2. Dashboarding and Visualization (Tableau/Power BI): Experience building comprehensive reporting modules and visualizations to monitor KPIs, identify behaviour trends and create alerts for anomalies to support leadership in strategic decision-making (5 years)

3. Big data tools and cloud platforms: Hands on experience with tools like Big query, Google Cloud Platform, Jupyter notebook for to create reproducible and scalable analysis (5 years)

4. A/B testing and statistical experimentation: Proficient in designing and executing experiments, hypothesis testing, KPI measurement and scenario validation to support business decisions (3 years)

5. Python programming for data analysis: Strong practical coding experience using Python for large-scale data processing and statistical analysis in enterprise environments (5 years)

6. Machine learning: Experience with interpreting and assessing machine learning models (classification, regression, feature engineering) to understand model accuracy and alignment with business goals (5 years)

7. Behavioral data analysis: Expertise extracting and analyzing customer behavior signals to identify patterns and generate predictive indicators (2 years)

8. Automation and scripting: Practical experience designing and automating workflows, reports and dashboards using python and enterprise tools (5 years)

9. Statistical analysis: Experience in regression methods, segmentation analysis and exploratory analysis (5 years)

10. Unstructured data processing: Experience processing unstructured text data, extracting keywords and sentiment by applying natural language processing and Gen AI techniques (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: $160,500.00-$273,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m. For benefits summary please visit: https://www.paypalbenefits.com.

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.