Signifyd's Data Science team builds production machine learning models that are the core of Signifyd's product, aiming to help businesses minimize fraud exposure, grow sales, and improve the e-commerce shopping experience by reducing incorrectly declined orders and making account hijacking less profitable for criminals.
Requirements
- Write code and review others' in a shared codebase in Python
- Practical SQL knowledge
- Design experiments and collect data
- Familiarity with the Linux command line
- Data analysis in a distributed environment
- Passion for writing well-tested production-grade code
Responsibilities
- Be directly responsible for the performance of enterprise merchants with household names.
- Research real-time new fraud patterns with our Risk Intelligence team
- Improve the important components of the Signifyd Commerce Protection Platform
- Build production machine learning models that identify fraud
- Write production and offline analytical code in Python
- Work with distributed data pipelines
- Collaborate with engineering teams to strengthen our machine-learning pipeline
Other
- Communicate complex ideas to a variety of audiences, including executives
- Experience leading projects
- Strong verbal and written communication skills
- Strong machine learning and statistical background and a track record of being able to deliver under pressure.
- Previous work in fraud, payments, or e-commerce
