Data Scientist, Fraud

Added
19 days ago
Type
Full time
Salary
Salary not provided

Related skills

r sql python machine learning spark

πŸ“‹ Description

  • Build and improve models powering Stripe's fraud and loss systems
  • Collaborate with Fraud Engineering and Risk Operations
  • Move models from research to production
  • Surface insights to shape fraud strategy
  • Apply supervised/unsupervised ML and statistical techniques

🎯 Requirements

  • PhD/MS/BS with 1-8 years data science or modeling
  • Experience with Fraud, Risk or Financial Crimes
  • SQL and Python or R proficiency
  • Cross-functional team delivery experience
  • Clear results communication and impact focus
  • Ability to manage multiple projects with attention to detail

🎁 Benefits

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