Staff Data Scientist

Summary

Join Signifyd's Data Science organization as a Staff Data Scientist and play a pivotal role in shaping the future of its machine learning capabilities. You will build models, influence strategy, mentor teams, and drive improvements in fraud detection systems. Responsibilities include expanding ML capabilities, driving experimentation at scale, architecting and optimizing ML pipelines, building influence across teams, and leading and mentoring others. The ideal candidate possesses a degree in computer science or a comparable field, 7+ years of experience with production-grade ML, deep ML expertise, and strong communication and product/business mindsets. Signifyd offers a competitive salary and benefits package, including unlimited discretionary time off, 401k match, stock options, and paid parental leave.

Requirements

• A degree in computer science or a comparable analytical field
• 7+ years of post-undergrad work experience with production-grade ML
• Deep ML expertise with a solid foundation in machine learning, experimentation, and model evaluation techniques
• Proven experience leading technical initiatives and influencing decision-making across teams
• Strong communication skills– You are great at breaking down complex ML and DS topics to non-technical audiences. You are also great at using visualization to communicate analytical results
• Strong product & business mindset with a passion for applying data science to solve real-world problems with measurable outcomes
• Proficiency in Python, SQL, and key ML libraries

Responsibilities

• Expand ML Capabilities – Identify, prototype, and integrate new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability
• Drive Experimentation at Scale – Develop and implement robust experimentation frameworks to increase velocity while maintaining scientific rigor, enabling rapid iteration and deployment of fraud detection models
• Architect & Optimize ML Pipelines – Design and build scalable, end-to-end ML pipelines that support both offline and online measurement of model performance, ensuring our models deliver real-world impact
• Build Influence Across Teams – Collaborate closely with engineering, product, and risk teams to align ML architecture and experimentation with business goals, driving measurable outcomes
• Lead & Mentor – Lead solving the technical concerns for the entire organization and elevate the technical bar by mentoring data scientists and engineers, sharing best practices, and fostering a culture of innovation and excellence in ML practices

Preferred Qualifications

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

Benefits

• Discretionary Time Off Policy (Unlimited!)
• 401K Match
• Stock Options
• Annual Performance Bonus or Commissions
• Paid Parental Leave (12 weeks)
• On-Demand Therapy for all employees & their dependents
• Dedicated learning budget through Learnerbly
• Health Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Account (FSA)
• Short Term and Long Term Disability Insurance
• Life Insurance
• Company Social Events
• Signifyd Swag