Trm Labs
Senior Data Scientist, Full Stack
North America, Remote. Posted 5 months ago
The role
You will own end-to-end attribution for a specific risk category by building algorithms, heuristics, and ML models. You will translate domain knowledge into production-grade intelligence to identify high-impact targets and disrupt crime networks.
What you will do
- Own end-to-end attribution for a risk category
- Identify high-impact targets
- Build algorithms including heuristics, ML models, and AI agents
- Ship production-quality code and data pipelines
- Collaborate with Subject Matter Experts to translate customer needs into intelligence
- Navigate Network, On-chain, and Protocol intelligence layers
- Drive measurable outcomes in tracing and seizing illicit funds
Required qualifications
- Quantitative background in Computer Science, Statistics, Engineering, Economics, or Physics
- 6+ years in an analytical role
- Strong SQL
- Strong Python
- Experience with AI-assisted coding tools (Cursor, Claude Code)
- Experience with distributed data systems (Spark, BigQuery, Airflow)
- Experience shipping production code
- Strong async communication (Loom, Slack, Notion)
- Ability to own work independently in a remote environment
- Ability to have at least 4-hour overlap with PST business hours
Nice to have
- Deep ML experience
- Prior work in crypto
- Prior work in financial crime
- Prior work in financial institutions
Benefits
- Equity plan eligibility
- Coordinated and covered travel, lodging, and workspace for R&D work weeks
- Accommodations for legitimate caregiving, health, immigration, and similar constraints
Before you apply
- Most interview processes include a case study, an AI skills assessment, and a Leadership Principles interview
- Use of AI tools during interviews is not permitted without prior approval
- Review the job description carefully to highlight relevant experience
About the company
TRM Labs is a blockchain intelligence company that provides AI-powered intelligence solutions to help agencies investigate and disrupt crime. The company is a Series C company headquartered in San Francisco and operates as a distributed-first company.