Data Scientist, Signifyd

• A degree in computer science or a comparable analytical field, or equivalent practical experience
• 2+ years of relevant work experience required
• Using visualizations to communicate analytical results to members outside your team
• Hands-on statistical analysis with a solid fundamental understanding
• Writing code and reviewing others’ in a shared codebase, preferably in Python
• Practical SQL knowledge
• Designing experiments and collect data
• Familiarity with the Linux command line

Desirable

• Research real-time new fraud patterns with our Risk Intelligence team
• Improve the important components of the Signifyd Commerce Protection Platform
• Communicate complex ideas to a variety of audiences
• 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