Senior Data Scientist, Full Stack
TRM Labs · Remote · North America ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Senior Data Scientist
- Fully remote (global)
- Python + SQL + AI tools
- Blockchain intelligence
- PST overlap required
Join TRM Labs as a Senior Data Scientist focused on Attribution within specific risk categories like Sanctions or Cybercrime. You will act as both a Subject Matter Expert and data scientist, owning end-to-end algorithms that help global agencies trace and seize illicit funds.
The team operates in a fast-paced, high-ownership environment where you will ship production-quality code and heuristics rapidly. Your work directly impacts customer outcomes by uncovering patterns in blockchain data that competitors cannot replicate.
What you'll do
- Own end-to-end attribution for a specific risk category
- Build heuristics, ML models, and AI agents for production
- Translate domain knowledge into actionable intelligence
- Navigate network, on-chain, and protocol data layers
- Ship scalable data pipelines with rigorous evaluation
- Deliver high-stakes attribution insights in days not weeks
What you'll need
- 6+ years in analytical roles with strong SQL and Python
- Quantitative background in CS, Stats, Engineering, or Physics
- Experience with distributed systems like Spark or BigQuery
- Proficiency with AI-assisted coding tools like Cursor
- Strong async communication skills for remote work
- Ability to thrive in ambiguity with hypothesis-driven approach
Nice to have
- Deep machine learning experience
- Prior work in crypto or financial crime
- Background in financial institutions
Stack
- Python
- SQL
- Spark
- BigQuery
- Airflow
- Cursor
- Claude Code
How you'll work
- Fully remote and globally distributed team
- Requires 4-hour overlap with PST business hours
- On-call: Analytics <1 hr/day monthly
- On-call: Data Science 1-2 hrs/day every 3 months
- Travel: 1-2 in-person R&D work weeks per quarter
What you get
- Equity plan eligibility
- Travel and lodging covered for work weeks
- Accommodations for caregiving or health needs
Hiring process
- Recruiter intro call
- Hiring manager deep dive
- First round skill interviews
- Final round hands-on case study
- Reference checks
- Offer presentation