Data Scientist – Fraud Detection

What role you will play in team

You will develop and implement machine learning models to detect and prevent fraudulent transactions.

What you will do

You will work closely with engineers and product managers to improve PayPal's fraud detection systems.

Key responsibility

• Develop and deploy machine learning models for fraud detection.
• Analyze large datasets to identify patterns and trends in fraudulent activity.
• Evaluate model performance and make recommendations for improvements.
  
• Collaborate with engineers and product managers to implement models into production.
• Stay current with the latest advancements in fraud detection and machine learning.

Required Qualification and Skills

• Master's degree in Computer Science, Statistics, or a related field.
• 3+ years of experience in data science or machine learning.
• Proficiency in Python or R.
• Experience with machine learning libraries.
• Strong analytical and problem-solving skills.

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Benefits Included

• Competitive salary and benefits.
• Opportunities for career growth and development.
• Collaborative and supportive team environment.
• Flexible work arrangements.

A Day in the Life

A day might involve model development, data analysis, collaborating with teams and testing models.