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Mercury

3 days ago

Senior Data Scientist - Risk ML

Remote · San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States

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AI TL;DR

Join Mercury's Risk team as a Data Scientist focused on machine learning to enhance fraud detection. Collaborate across departments to ensure data quality and improve banking experiences for customers.

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Interview prep for this job

  1. What would you ship in the first month as Senior Data Scientist - Risk ML at Mercury?
  2. Which tradeoff in the description would you ask about first?
  3. How do you explain a production incident to this team?
  4. What would you measure in the first two weeks?
  5. Which part of your last project maps to this stack?

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Job description

Join Mercury's Risk team as a Data Scientist focused on machine learning to enhance fraud detection. Collaborate across departments to ensure data quality and improve banking experiences for customers.

Details

  • San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States
  • $166,600—$250,900 USD for US employees
  • 5+ years of experience, 3+ years of ML experience
  • Proficiency in Python and SQL

The work

  • Build, validate, and deploy machine learning models to identify and prevent fraud
  • Support reproducibility and robustness of models through documentation and monitoring
  • Ensure data quality and reliability across pipelines and tools
  • Collaborate with Risk Strategy and Engineering on model inputs and deployment