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Senior Data Science Engineer (Fraud Detection)

A fraud prevention and payments startup in SF is hiring for a Data Science Engineer to work on end to end Machine Learning for their risk engine. They have created an all in one system that integrates a one stop checkout process with their fraud detection and prevention software. This allows e-commerce companies to retain more customers and transact more often.

They ideally need someone from a Data Engineer background who wants to move more in to Machine Learning and Data Science. You should be proficient coding in Python and R for end to end Machine Learning. You would be taking ownership of their risk engine and dealing with all of the data intake and model building for risk prevention and fraud detection. The ideal candidate has at least 5 years of experience and a B.S. or M.S. in a technical field from a well-recognized university. This is a role for someone who is local to San Francisco and wants to take ownership of a Machine Learning project at a well-funded and growing startup. No third-party candidates will be considered for the role.

Required Skills & Experience

  • 5+ years experience coding in Python and R
  • Experience building Machine Learning models
  • Experience with data ingestion and processing
  • B.S. or M.S. in C.S. or equivalent

Desired Skills & Experience

  • Previous experience with Machine Learning for fraud detection
  • Previous experience as a Data Engineer
  • Desire to work in an early stage startup
  • Strong mathematical foundation

Benefits & Perks

  • Flexible schedule
  • Competitive compensation
  • Equity in an early stage startup
  • Own all work on the core product
  • Dog friendly office

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  • Ian Wood

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  • Workbridge San Francisco - SWD
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