Data Scientist, Signifyd

• 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
• Able to influence peers through storytelling with data
• 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

Desirable

• 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
• Communicate complex ideas to a variety of audiences, including executives
• Contribute to building 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