Signifyd's Data Science team builds production machine learning models to minimize fraud exposure and grow sales for businesses, while improving the e-commerce shopping experience by reducing incorrect order declines and making account hijacking less profitable.
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 fraud patterns with our Risk Intelligence team
- Deploy fraud-fighting rules and model threshold adjustments to combat fraud in real-time
- Improve the important components of the Signifyd Commerce Protection Platform
- Contribute to building production machine learning models that identify fraud
- Write production and offline analytical code in Python
- Work with distributed data pipelines
Other
- A degree in a STEM related field, or equivalent work experience
- 2+ years of post-undergrad work experience required
- Experience leading projects
- Strong verbal and written communication skills
- Able to translate ambiguous problem statements into actionable analyses
