Senior Data Scientist, Full Stack (Brazil)

As a Senior Data Scientist at TRM Labs, you will be embedded within a specific risk category (Sanctions, Cybercrime, Counter Terrorism, or Nation States) and own the attribution algorithms that drive direct customer outcomes. You'll operate as equal parts Subject Matter Expert and Data Scientist, translating deep domain knowledge into production-grade intelligence that helps agencies investigate and disrupt crime. Your work will span all intelligence layers (Network, On-chain, Protocol) to uncover patterns and ship algorithms that trace, seize, or prevent billions in illicit funds.

What you'll do

• Own end-to-end attribution for a risk category: identify high-impact targets, build algorithms using heuristics, ML models, and AI agents, and ship to production.
• Develop deep domain expertise in your assigned category, translating customer and go-to-market needs into actionable intelligence.
• Navigate all intelligence layers (Network, On-chain, Protocol) to uncover patterns and build competitive advantages.
• Ship production-quality code including heuristics, ML models, and data pipelines with rigorous evaluation and scalable architecture.
• Drive measurable outcomes in billions of illicit funds traced, seized, or prevented.

What you bring

• A quantitative background in Computer Science, Statistics, Engineering, Economics, or Physics.
• 6+ years in an analytical role with strong SQL and Python skills.
• Hands-on experience with AI-assisted coding tools such as Cursor and Claude Code.
• Experience with distributed data systems including Spark, BigQuery, and Airflow, and a track record shipping production code.
• A problem-solving mindset that gets to root causes, leverages creativity, and thrives in ambiguity with a hypothesis-driven, iterative approach.
• Domain curiosity: ability to absorb and apply expertise in blockchain, fraud, money laundering, or cybercrime.
• Strong async communication skills (Loom, Slack, Notion) and the ability to own work independently in a remote environment.
• At least 4-hour overlap with PST business hours (typically 7am-12pm PST for meetings and collaboration).

Nice to have

• Deep ML experience.
• Prior work in crypto, financial crime, or financial institutions.

What we offer

• Fully remote and globally distributed work arrangement.
• Participation in in-person R&D work weeks, typically 1-2 times per quarter at a TRM hub, with as little as 14 days' notice. TRM coordinates and covers approved travel, lodging, and workspace. Accommodations are available for legitimate caregiving, health, immigration, and similar constraints.
• On-call responsibilities: Analytics on-call (less than 1 hour per day monthly) and Data Science on-call (1-2 hours per day every 3 months).

About TRM Labs

TRM Labs is a Series C company with $220M in total funding, backed by Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. TRM provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime by leveraging blockchain data, threat intelligence, and advanced analytics. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore.