Data Scientist
About the Role
You will analyze transaction flows and user behavior to produce actionable insights. You will design and build scalable data models, optimize data transformations and pipelines, and maintain data quality, observability, and reproducibility. You will work with finance and product stakeholders to provide business performance insights, run experiments using causal inference, and translate complex data into clear stories for technical and non-technical audiences.
Requirements
- Proficiency in Python and SQL (5+ years)
- Strong background in statistical analysis, experimentation, and causal inference
- Familiar with analyzing end-user behavior for optimization (A/B testing, conversion rates, etc.)
- Skilled in modern data platforms (Redshift, Snowflake, Databricks, etc.) and orchestration/transformation tools (dbt or similar)
- Deep curiosity about crypto, DeFi, on-chain data, and Web3 infrastructure
Responsibilities
- Design and build scalable data models to analyze transaction flows and user behavior
- Optimize data transformations, pipelines, and workflows
- Provide insights on business performance to the CFO
- Maintain data quality, observability, and reproducibility across analytical systems
- Partner with engineers and product teams to deliver actionable production grade insights
- Run experiments, apply causal inference, and drive evidence based product decisions
- Translate complex data into clear stories for technical and non-technical stakeholders