Data Scientist (fraud Risk)

PayPal PayPal · Fintech · Tokyo, Tokyo, Japan · Data Science

Develop and implement data science models and algorithms for fraud risk management at PayPal's subsidiary, Paidy. This role involves analyzing complex data, ensuring data quality, and collaborating with stakeholders to deliver solutions using machine learning for transaction underwriting.

What you'd actually do

  1. Develop and implement data science models and algorithms.
  2. Analyze and interpret complex data sets.
  3. Ensure data quality and integrity.
  4. Collaborate with stakeholders to understand data requirements.
  5. Optimize data processes for efficiency and performance.

Skills

Required

  • Data Science
  • Machine Learning
  • Statistical Analysis
  • Data Analysis
  • Python

Nice to have

  • Japanese Language

What the JD emphasized

  • proprietary models and machine learning to underwrite transactions

Other signals

  • develop and implement data science models and algorithms
  • analyze and interpret complex data sets
  • perform advanced statistical analysis and reporting
  • proprietary models and machine learning to underwrite transactions