Sr Data Scientist

PayPal PayPal · Fintech · Chicago, IL +1 · Data Science

Senior Data Scientist at PayPal in Chicago, IL, focused on developing and implementing real-time fraud detection and risk assessment solutions for Venmo and PayPal platforms. Responsibilities include data analysis, statistical modeling, A/B testing, root cause analysis, and cross-functional collaboration to mitigate fraud and enhance security.

What you'd actually do

  1. 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.
  2. Design, construct, and validate statistical models to transform raw transactional data into actionable insights for fraud detection.
  3. Leverage advanced data analytics and statistical methodologies to identify emerging fraud patterns and trends across payment ecosystems.
  4. Develop, implement, and maintain sophisticated real-time risk assessment solutions that carefully balance organizational loss appetite, user experience metrics, and product financial performance KPIs.
  5. 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.

Skills

Required

  • Data Analytics
  • SQL
  • Big Query
  • Statistical Analysis
  • Python
  • Tableau
  • Data Mining
  • Data Cleaning
  • Experience supporting new product initiatives
  • Financial analysis
  • Hadoop
  • Hive
  • Jupyter Notebooks
  • GitHub
  • Data warehouse and data pipeline

What the JD emphasized

  • real-time
  • fraud detection
  • risk assessment

Other signals

  • fraud detection
  • real-time risk assessment
  • emerging fraud patterns
  • A/B testing