Data Scientist

The job overview for this position is that the Data Science team at Signifyd is responsible for building production machine learning models that form the core of the company's product. They aim to help businesses minimize fraud exposure and increase sales, while also enhancing the e-commerce shopping experience for individuals. The team has end-to-end ownership of the decisioning engine, from research and development to online performance and risk management. Collaboration, team ownership, and skill development through peer review and knowledge-sharing are highly valued. The role involves researching fraud patterns, improving the Signifyd Commerce Protection Platform, building machine learning models, writing code in Python, working with distributed data pipelines, and collaborating with engineering teams. A degree in computer science or a related field, along with 2+ years of relevant work experience, is required.

• Research real-time new fraud patterns with the 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 the machine learning pipeline
• Use visualizations to communicate analytical results to members outside the team
• Conduct hands-on statistical analysis
• Collaborate with the Data Science and Engineering team to develop skills through peer review, group paper study, and knowledge-sharing

• 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

• Base salary
• Bonus
• Equity
• Benefits