Senior Data Scientist I

Summary

Join Signifyd's Data Science team and build production machine learning models that are central to our fraud prevention product. We help businesses minimize fraud and boost sales, improving the e-commerce experience for everyone. The team has end-to-end ownership of our decision engine, from research to risk management. We value collaboration and continuous learning through peer reviews and knowledge sharing. We're a remote-friendly company with a strong remote culture. We seek a curious, tenacious, and customer-passionate data scientist to join our team.

Requirements

• Bachelor's degree in computer science, applied mathematics, economics, or an analytical field or equivalent practical experience
• At least 5+ years of experience
• Building production ML models
• 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
• Practical SQL knowledge
• Familiarity with the Linux command line
• Fluent in English

Responsibilities

• Building production machine learning models that identify fraud
• Writing production and offline analytical code in Python
• Working with distributed data pipelines
• Communicating complex ideas effectively to a variety of audiences
• Collaborate with engineering teams to strengthen our machine-learning platform

Preferred Qualifications

• Advanced degree in an analytical field (Master, PHD)
• Previous work in fraud, risk, payments, or e-commerce
• Data analysis experience in a distributed environment
• Passion for writing well-tested production-grade code

Benefits

• Health, Dental & Vision Insurance
• Life Insurance of 24 months salary
• Annual Performance Bonus
• Christmas Bonus of 1 Month’s Salary
• Food Vouchers
• Stock Options
• Paid Parental Leave
• Flexible Work Arrangements
• Telework Stipend for Home Internet
• 12 Paid Vacation Days with 85% Vacation Premiums
• Paid Holidays
• Company Social Events
• Signifyd Swag
• Dedicated learning budget through Learnerbly
• On-Demand Therapy for all employees & their dependents