Senior Data Scientist, Attribution
Full-time
TRM Labs
Role Description
As a Senior Data Scientist, Attribution, you will be embedded within a specific risk category (e.g., Sanctions, Cybercrime, Counter Terrorism) and own the attribution algorithms that drive direct customer outcomes — from seizing illicit funds to disrupting crypto-enabled crime networks. You'll operate as equal parts Subject Matter Expert and Data Scientist, translating deep domain knowledge into production-grade intelligence.
The impact you'll have here:
- Own end-to-end attribution for a risk category: identify high-impact targets, build algorithms (heuristics, ML models, AI agents), and ship to production.
- Collaborate tightly with — and become — a Subject Matter Expert for your category, translating customer and GTM needs into actionable intelligence.
- Navigate all intelligence layers (Network / On-chain / Protocol) to uncover patterns competitors can't replicate.
- Ship production-quality code — heuristics, ML models, and data pipelines — with rigorous evaluation and scalable architecture.
- Drive measurable outcomes: billions in illicit funds traced, seized, or prevented.
Qualifications
- Quantitative background (Computer Science, Statistics, Engineering, Economics, Physics).
- Strong problem-solving mindset: gets to the root cause, leverages creativity, and thrives in ambiguity with a hypothesis-driven, iterative approach.
- Demonstrated domain curiosity — ability to absorb and apply expertise in blockchain, fraud, money laundering, or cybercrime.
- 6+ years in an analytical role with strong SQL, Python, and AI-assisted coding tools (Cursor, Claude Code).
- Experience with distributed data systems (Spark, BigQuery, Airflow) and shipping production code.
- Strong async communication (Loom, Slack, Notion) and ability to own work independently in a remote environment.
- Bonus: Deep ML experience, prior work in crypto, financial crime, or financial institutions.
Requirements
- On-call responsibilities: Analytics on-call (< 1 hr/day monthly) and Data Science on-call (1-2 hrs/day every 3 months).
Benefits
- Fully remote and globally distributed work environment.
- Most overlap occurs 7am–12pm PST for meetings and collaboration.
- All team members must have at least 4-hour overlap with PST business hours.
Vacancy posted 1 day ago
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