About the role
Build attribution algorithms to disrupt crypto-enabled crime.
- •Senior Data Scientist embedded in a risk category to build attribution algorithms and ship production-grade intelligence to disrupt crypto-enabled crime.
- •Key Responsibilities Own end-to-end attribution for a specific risk category, from target identification to production deployment.
- •Translate subject-matter expertise into algorithms (heuristics, ML models, AI agents).
- •Ship production-quality code and scalable data pipelines with rigorous evaluation.
- •Collaborate with SMEs, engineers, and cross-functional partners in a remote environment.
- •Drive measurable outcomes by tracing and preventing illicit funds.
- •Requirements Quantitative background (CS, Statistics, Engineering, Economics, Physics). 6+ years in analytical roles with strong SQL and Python skills.
- •Experience with distributed data systems (Spark, BigQuery, Airflow) and shipping production code.
- •Domain curiosity in blockchain, fraud, or cybercrime and strong problem-solving mindset.
- •Strong async communication and ability to work remotely with PST overlap.
Tech stack
SQLPythonSparkAirflow
Match insights
Tech:SQL, Python, Spark, Airflow
Level:Senior