Remote Data Scientist II

Summary

Join the Data Science team at Signifyd to build models that power our fraud detection engine, and contribute to research and experiments that develop into new products improving the merchant payments experience.

Requirements

• Bachelor's degree in computer science, applied mathematics, economics, or an analytical field
• An advanced degree (M.S. or Ph.D) in an analytical field is a plus
• At least 3+ years of experience
• Hands-on statistical analysis with a solid fundamental understanding
• Designing experiments and collecting data
• Writing code and reviewing others’ in a shared codebase, preferably in Python and Java
• Practical SQL knowledge
• Familiarity with the Linux command line
• Fluent in English

Responsibilities

• Building production machine learning models that identify fraud
• Designing new algorithms that optimize all the key components of the Signifyd Commerce Protection Platform
• Writing production and offline analytical code in Python and Java
• Researching real-time emerging fraud patterns with the Risk Analysis team
• Working with distributed data pipelines
• Communicating complex ideas effectively to a variety of audiences
• Collaborating with engineering teams to continuously strengthen our machine learning pipeline
• Mentoring other members of the team

Preferred Qualifications

• Data analysis in a distributed environment
• Passion for writing well-tested production-grade code
• Using visualizations to communicate analytical results to stakeholders outside your team
• Previous work in fraud, payments, or e-commerce