Lead Machine Learning Scientist

📋 Description

• Develop advanced fraud detection models: Design, train, validate, and optimize machine learning
• Drive data exploration and experimentation: Analyze large and diverse datasets, engineer predictive
• Manage the end-to-end machine learning lifecycle: Lead projects from problem definition and initial
• Leverage AI-assisted development: Integrate generative AI and modern AI tools into research
• Optimize fraud and risk decisioning: Monitor model performance, fraud trends, approval rates, and
• Collaborate across technical and business teams: Partner with Product, Engineering, and Risk

🎯 Requirements

• Professional experience: At least 7 years of hands-on machine learning experience, with a proven
• Fraud detection expertise: Extensive experience building machine learning solutions for identity
• Programming and data skills: Advanced proficiency in Python and SQL, including feature engineering
• Machine learning frameworks and infrastructure: At least 4 years of experience with machine
• AI-assisted workflows: Experience using generative AI and AI-powered tools for research, coding
• Analytical and commercial judgment: Ability to evaluate trade-offs between fraud prevention

🎁 Benefits

• Salary: Annual base salary ranging from $174,000 to $224,000, depending on experience, skills
• Equity: Eligibility for equity awards, providing an opportunity to participate in the company's
• Remote work: A virtual-first working environment that allows employees to work remotely from
• Flexible schedule: Flexible working hours designed to support autonomy and work-life balance.
• Home office support: Home office stipend to help create a productive remote workspace.
• Healthcare coverage: Premium medical, dental, and vision insurance plans.