Data Scientist

PayPal is hiring a Data Scientist in Chicago, IL (hybrid) to analyze large datasets, develop and evaluate statistical and machine learning models, and improve fraud and portfolio outcomes.

Responsibilities

• Analyze and process large datasets using statistical software.
• Use sampling approaches to define groups for study or apply complete enumeration methods.
• Build, compare, and evaluate statistical and machine learning models using performance metrics.
• Apply mathematical principles and statistical methods to address scientific and applied problems.
• Analyze business and financial data to identify and resolve operational issues.
• Identify trends and relationships among variables across datasets.
• Work across a portfolio of projects including card risk strategies, acquisition, and payment risk strategies.
• Partner with stakeholders across Credit Risk, Product, and Engineering to optimize fraud strategies and portfolio performance.
• Analyze and assess emerging fraud trends and propose mitigation strategies.
• Maintain and develop Monitoring and Alerting capabilities to monitor CBMC program health and simplify insights for key stakeholders.
• Provide regular updates to senior leaders on Portfolio Health, highlights, lowlights, and actionable insights.
• Own end-to-end management of fraud loss and decline rates.
• Collaborate with cross-functional teams to develop fraud prevention and loss-saving strategies and optimize transaction declines.
• Produce periodic KPI reports summarizing business units’ risk and control environment for senior management.

Requirements

• Master’s degree (or foreign equivalent) in Computer Science, Engineering, Management Information Systems, or a closely related field plus two (2) years of experience in the job offered or a related occupation.
• 2 years of experience with basic analytics.
• 2 years of experience in fraud risk management within the financial services industry.
• 2 years of experience writing SQL queries to analyze large datasets.
• 2 years of experience building interactive dashboards and visual reports using Tableau.
• 2 years of experience using MS Excel and Pivot Tables to create analytical views and summarize data.
• 2 years of experience using visualization tools to communicate analytical insights.
• 1 year of experience applying machine learning methods.
• 1 year of experience applying data science techniques to solve real-world problems.
• 1 year of experience using Python to analyze large datasets.
• Legally authorized to work in the U.S. without sponsorship.

Technologies

• SQL
• Tableau
• MS Excel
• Pivot Tables
• Python

Benefits

• Comprehensive, choice-based programs to support personal wellbeing across physical, emotional, and financial needs.
• Generous paid time off.
• Healthcare coverage for you and your family.
• Resources to support financial security and mental health.

Location and Pay Range

• Chicago, IL (hybrid)
• Salary: $96,928.00 to $180,000.00 per year
• Schedule: 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.
• Travel: 0%