Data Scientist II

Summary

Join Signifyd's Data Science team and build machine learning models for our fraud detection engine. We're looking for a curious and collaborative data scientist with hands-on experience to take solutions from brainstorm to deployment. You'll build production models, design algorithms, write code in Python and Java, research fraud patterns, and work with distributed data pipelines. The ideal candidate will have a Bachelor's degree in a relevant field, 3+ years of experience, and strong analytical and coding skills. We value a tenacious and customer-passionate approach, and the ability to communicate complex ideas effectively. This is a remote position.

Requirements

• Bachelor's degree in computer science, applied mathematics, economics, or an analytical field
• 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

• An advanced degree (M.S. or Ph.D) in an analytical field
• 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
• Working directly with Go-to-Market teams
• Previous work in fraud, payments, or e-commerce

Benefits

#LI-Remote