Senior Data Scientist, Full Stack (Brazil)

TRM Labs · Remote · Brazil ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Senior Data Scientist
  • Fully remote (global)
  • Python + SQL + Spark
  • 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 translate domain expertise into production-grade intelligence, building algorithms that help agencies disrupt crime networks. The team operates in a fast-paced, high-ownership environment dedicated to global security.

What you'll do

  • Own end-to-end attribution for a specific risk category
  • Build heuristics, ML models, and AI agents for production
  • Translate customer needs into actionable intelligence solutions
  • Analyze network, on-chain, and protocol data layers
  • Ship scalable data pipelines with rigorous evaluation
  • Collaborate with subject matter experts and engineers

What you'll need

  • 6+ years in analytical roles with strong SQL and Python skills
  • Degree in Computer Science, Statistics, Engineering, or related field
  • Experience with distributed systems like Spark, BigQuery, or Airflow
  • Proficiency with AI-assisted coding tools such as Cursor or Claude Code
  • Ability to work independently in a remote, async environment
  • Strong problem-solving skills in ambiguous situations

Nice to have

  • Deep machine learning experience
  • Background in crypto, financial crime, or banking
  • Curiosity about fraud and money laundering patterns

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
  • Most collaboration occurs between 7am and 12pm PST
  • In-person R&D work weeks 1–2 times per quarter
  • Light on-call rotation for analytics and data science

What you get

  • Travel, lodging, and workspace covered for work weeks
  • Accommodations available for caregiving or health needs
  • Backed by major investors including Goldman Sachs

Hiring process

  • Recruiter intro call for qualifications and alignment
  • Hiring manager interview on experience and impact
  • First round interviews on critical technical skills
  • Final round panel with hands-on case study
  • Reference checks with former colleagues
  • Offer presentation and onboarding