TRM Labs is hiring a Senior Data Scientist, Full Stack (LATAM)

Build a Safer World. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. TRM Labs is a blockchain intelligence company committed to fighting crime and creating a safer world. By leveraging blockchain data, threat intelligence, and advanced analytics, our products empower governments, financial institutions, and crypto businesses to combat illicit activity and global security threats. At TRM, you'll join a mission-driven, fast-paced team made up of experts in law enforcement, data science, engineering, and financial intelligence, tackling complex global challenges daily. 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. What we’re looking for: 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. About the Team: Data Scientists are embedded within risk categories teams (Sanctions, Cybercrime, Nation States, etc.), working closely with SMEs, engineers, and cross-functional partners. Fully remote and globally distributed. Most overlap occurs 7am–12pm PST for meetings and collaboration. All team members must have at least 4-hour overlap with PST business hours. On-call responsibilities: Analytics on-call (