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# Data Scientist

- **Company:** PayPal
- **Location:** Chicago, IL, United States
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Big Data, Data Visualization, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, Pivot Tables, SQL Databases, Data Analytics
- **Published:** August 6, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/data-scientist-chicago-il-usa-58818364

## About the Role

health and generate stakeholder insights * Present KPI updates to senior leaders * Own end-to-end fraud loss and decline management * Develop strategies for fraud prevention and loss savings * Prepare periodic risk and control environment reports for senior management Tasks * Master's degree in specified fields plus two years of related experience * Experience with basic analytics (2 years) * Fraud risk management experience in financial services (2 years) * SQL query proficiency for large datasets (2 years) * Tableau dashboards and visual reporting experience (2 years) * MS Excel and Pivot Tables for data analysis (2 years) * Experience with data visualization tools to present insights (2 years) * Machine learning methods experience (1 year) * Data science techniques applied to real-world problems (1 year) * Python for large dataset analysis (1 year) Key requirements * balanced hybrid work model * healthcare coverage for you and family * generous paid time off * financial aaaaaaG
_ resources * wellbeing and mental health support * equity and incentive compensation opportunities

## Description

Experteer Overview In this role you will analyze large data sets to inform fraud strategies, risk management, and portfolio performance within PayPal's cross-border payments ecosystem. You will collaborate with Credit Risk, Product, and Engineering teams to improve fraud prevention and operational efficiency. You'll monitor program health, report insights to senior leadership, and own end-to-end risk management for the portfolio. This position combines advanced analytics with real-world problem solving in a fast-paced, global environment. Compensation / Benefits * Analyze large data sets with statistical methods * Apply sampling or enumeration for surveys * Compare models using performance metrics * Analyze business or financial data to identify trends * Identify operational problems and opportunities through data * Work on fraud risk and portfolio performance strategies * Collaborate with Credit Risk, Product, and Engineering teams to optimize fraud controls * Monitor CBMC program health and generate stakeholder insights * Present KPI updates to senior leaders * Own end-to-end fraud loss and decline management * Develop strategies for fraud prevention and loss savings * Prepare periodic risk and control environment reports for senior management Tasks * Master's degree in specified fields plus two years of related experience * Experience with basic analytics (2 years) * Fraud risk management experience in financial services (2 years) * SQL query proficiency for large datasets (2 years) * Tableau dashboards and visual reporting experience (2 years) * MS Excel and Pivot Tables for data analysis (2 years) * Experience with data visualization tools to present insights (2 years) * Machine learning methods experience (1 year) * Data science techniques applied to real-world problems (1 year) * Python for large dataset analysis (1 year) Key requirements * balanced hybrid work model * healthcare coverage for you and family * generous paid time off * financial security resources * wellbeing and mental health support * equity and incentive compensation opportunities


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