Senior Data Scientist, Full Stack
Blockchain intelligence company providing tools to detect, investigate, and manage crypto-related fraud, financial crime, and compliance for institutions and government agencies.
Projects
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
About the Role
You will be embedded within a risk category and own the attribution algorithms that drive customer outcomes You will translate domain knowledge into production grade intelligence by building heuristics ML models and data pipelines You will collaborate with subject matter experts and engineers across categories to uncover patterns and deliver actionable insights You will work remotely with a strong emphasis on ownership and fast delivery
Requirements
- Quantitative background in computer science statistics engineering economics or physics
- 6+ years in an analytical role with strong SQL Python and AI assisted coding tools such as Cursor and Claude Code
- Experience with distributed data systems Spark BigQuery Airflow and shipping production code
- Strong async communication using Loom Slack and Notion and the ability to own work independently in a remote environment
Responsibilities
- Own end to end attribution for a risk category and ship to production by building heuristics ML models and AI agents
- Collaborate closely 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 cannot 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
