Data Scientist II, Full Stack

Responsibilities

• Develop and maintain fraud detection models across the full model development lifecycle, including data acquisition, featurization, labeling, training, experimentation, productionization, and monitoring.
• Build foundational models for fraud and financial risk products.
• Research new types of fraud and develop identity-verification products.
• Integrate new data sources and create inventive features through iterative research and development.
• Write production-ready code for real-time decision-making.
• Design, perform, and present analyses supporting data acquisition, product development, risk operations, marketing, and sales.
• Collaborate with engineering, risk operations, and data acquisition teams to access data, maintain data quality, and support data access.

Requirements

• 2+ years of relevant work experience with a relevant PhD, or 4+ years of relevant work experience with a relevant master's degree.
• Track record of solving complex, high-profile business problems with data science and machine learning solutions.
• Experience communicating outcomes and progress to senior management and stakeholders.
• Strong end-to-end data science development experience, including planning, defining success criteria and metrics, gaining buy-in, developing solutions, and delivering production, presentation, or strategy outputs.
• Strong practical machine learning and statistics knowledge.
• Experience writing production code and tests.
• Detail-oriented, thoughtful, and dependable when making business-critical decisions.
• Experience working at a startup.
• Willingness to develop deep domain expertise in product-focused work.
• Must be legally authorized to work in the United States and live in the United States.
• Ability to thrive in a fast-paced environment with varied, high-impact, open-ended problems.

Nice to Have

• Experience with state-of-the-art machine learning solutions.
• Familiarity with identity solutions, fintech, or adjacent industries.
• Background in fraud.

Compensation and Benefits

• Salary: $180,000-$220,000 per year, plus equity and benefits.
• Employer-paid group health insurance for employees and dependents.
• 401(k) plan with employer match.
• Flexible paid time off.
• Regular company-wide in-person events.
• Home office stipend.