Remote Senior Data Scientist

Summary

Join the Data Science team at Signifyd to build production machine learning models, collaborate with engineering teams, and contribute to a strong remote culture. The ideal candidate has experience in building ML models, statistical analysis, and Python programming.

Requirements

• A degree in computer science or a comparable analytical field
• 6+ years of post-undergrad work experience required
• Building production ML models
• 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 collecting data
• Familiarity with the Linux command line

Responsibilities

• Build production machine learning models that identify fraud
• Write production and offline analytical code in Python
• Work with distributed data pipelines
• Communicate complex ideas to a variety of audiences
• Collaborate with engineering teams to strengthen our machine learning platform

Preferred Qualifications

• Previous work in fraud, payments, or e-commerce
• Data analysis in a distributed environment
• Passion for writing well-tested production-grade code
• A Master's Degree or PhD

Benefits

• Stock Options
• Annual Performance Bonus or Commissions
• Pension matched up to 3%
• Day one' access to great health insurance scheme
• Enhanced maternity and paternity leave (12 weeks full-pay for mums & dads)
• Paid team social events
• Mental wellbeing resources
• Dedicated learning budget through Learnerbly