•••••••• is hiring a Senior Data Scientist to own attribution algorithms for a risk category such as sanctions, cybercrime, or counterterrorism, translating domain expertise into production-grade intelligence.
- Identify high-impact targets, build attribution algorithms using heuristics, ML models, and AI agents, and ship them to production.
- Work with subject-matter experts and cross-functional partners to turn customer and go-to-market needs into actionable intelligence.
- Analyze network, on-chain, and protocol data to uncover patterns.
- Build production-quality code, data pipelines, and scalable systems with rigorous evaluation.
- Deliver measurable outcomes, including tracing, seizing, or preventing illicit funds.
Requirements: Quantitative background; 6+ years in an analytical role; strong SQL and Python; experience with AI-assisted coding tools, distributed data systems, and production code; ability to work independently and communicate asynchronously. Curiosity about blockchain, fraud, money laundering, or cybercrime is important. Deep ML experience or experience in crypto, financial crime, or financial institutions is a plus.
Work arrangement: Fully remote and globally distributed, with at least four hours of overlap with PST business hours. Includes analytics and data science on-call rotations and in-person R&D work weeks typically 1–2 times per quarter; approved travel and lodging are covered.
Compensation: US base salary range, with possible equity participation.