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.
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, build heuristics and machine learning models, develop data pipelines, and collaborate with subject matter experts and engineers to uncover patterns and deliver actionable insights.
Requirements
- Quantitative background in computer science, statistics, engineering, economics, or physics.
- 6+ years of experience in an analytical role with strong SQL, Python, and AI-assisted coding skills.
- Experience with distributed data systems including Spark, BigQuery, and Airflow, plus production code delivery.
- Strong problem-solving skills, domain curiosity, and comfort working through ambiguity.
- Knowledge of blockchain, fraud, money laundering, cybercrime, crypto, or financial institutions is beneficial.
- Strong asynchronous communication skills and ability to work independently in a remote environment.
Responsibilities
- Own end-to-end attribution for a risk category and ship heuristics, machine learning models, and AI agents to production.
- Become a subject matter expert for a risk category and translate customer and go-to-market needs into actionable intelligence.
- Analyze network, on-chain, and protocol intelligence layers to uncover distinctive patterns.
- Ship production-quality code, models, and data pipelines with rigorous evaluation and scalable architecture.
- Drive measurable outcomes by tracing, seizing, or preventing illicit funds.