Senior Data Scientist, Full Stack (LATAM)
Blockchain intelligence company providing tools to detect, investigate, and manage crypto-related fraud, financial crime, and compliance for institutions and government agencies.
Maintainer signals as of 9/2/2026
Funding history
Investors
About TRM Labs
TRM Labs provides blockchain intelligence for investigations and compliance, offering products such as forensics, wallet screening, entity screening, transaction monitoring, and APIs. It serves financial institutions, crypto businesses, and public sector agencies to trace funds, assess risk, and build cases across digital assets.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own attribution algorithms for a risk category, translate domain expertise into production-grade intelligence, collaborate across network, on-chain, and protocol layers, and ship evaluated heuristics, machine learning models, and data pipelines that drive measurable customer outcomes.
Requirements
- Quantitative background in computer science, statistics, engineering, economics, or physics.
- Strong problem-solving skills and a hypothesis-driven, iterative approach.
- Domain curiosity or expertise in blockchain, fraud, money laundering, or cybercrime.
- Six or more years in an analytical role with strong SQL, Python, and AI-assisted coding skills.
- Experience with Spark, BigQuery, Airflow, and production code.
- Strong async communication skills and ability to work independently remotely.
- At least four hours of overlap with PST business hours.
- Bonus experience in deep machine learning, crypto, financial crime, or financial institutions.
Responsibilities
- Own end-to-end attribution for a risk category.
- Identify high-impact targets and build heuristics, machine learning models, and AI agents.
- Ship production-quality solutions with rigorous evaluation and scalable architecture.
- Collaborate with subject matter experts and translate customer needs into actionable intelligence.
- Navigate network, on-chain, and protocol layers to uncover unique patterns.
- Drive measurable outcomes involving illicit funds traced, seized, or prevented.