Design scalable data models to analyze transaction flows, routing behavior, and user journeys
Build and maintain reliable data pipelines and transformations ensuring data quality and reproducibility
Partner with CFO and leadership to analyze unit economics, revenue drivers, and growth performance
Define and track product KPIs such as conversion, retention, engagement, and cohort performance
Design and execute experiments (A/B testing, causal inference, uplift modeling)
Translate complex quantitative findings into clear, actionable insights for technical and non-technical stakeholders
Analyze market behavior and liquidity patterns within crypto or DeFi ecosystems
Support roadmap decisions with production-grade data insights

5+ years of experience using Python and SQL in data science or analytics roles
Strong background in statistics, experimentation design, and causal inference
Experience analyzing user behavior, funnels, retention, and product performance
Experience working with modern data platforms (Redshift, Snowflake, Databricks)
Experience with data transformation/orchestration tools such as dbt
Strong communication skills and ability to explain complex analysis clearly
Experience working in cross-functional environments
Nice to Have: Experience analyzing large-scale transaction or financial datasets (payments, trading, lending)
Nice to Have: Experience with ML libraries (Pandas, NumPy, scikit-learn; PyTorch or TensorFlow a plus)
Nice to Have: Familiarity with spreads, slippage, liquidity dynamics in crypto markets
Nice to Have: Background in fintech, crypto analytics, or DeFi protocols
Nice to Have: Deep interest in Web3 infrastructure and onchain ecosystems

Data Scientist, Fintech, Onchain Analytics

Key skills