About the role
Own end-to-end attribution algorithms and translate domain expertise into customer-facing intelligence.
- •Senior Data Scientist embedded in a risk category to own end-to-end attribution algorithms, ship production-quality code, and translate domain expertise into customer-facing intelligence.
- •Key Responsibilities Own attribution for a risk category and ship heuristics, ML models, and pipelines to production.
- •Become a Subject Matter Expert and translate customer needs into intelligence.
- •Work across network/on-chain/protocol layers to uncover unique patterns.
- •Collaborate with engineers and cross-functional partners in a remote environment.
- •Requirements Quantitative background in CS, Statistics, Engineering, Economics, or Physics. 6+ years in analytical roles with strong Python and SQL skills.
- •Experience with distributed data systems (Spark, BigQuery, Airflow) and shipping production code.
- •Strong problem-solving, async communication, and domain curiosity in blockchain/financial crime.
Tech stack
PythonSQLSparkAirflow
Match insights
Tech:Python, SQL, Spark, Airflow
Level:Senior