HYBRID IN NEW YORK
We are looking for an experienced Data Scientist to drive data-informed decision-making across product, finance, and engineering within a fast-growing crypto payments infrastructure company. This role sits at the intersection of onchain analytics, product experimentation, and business performance optimization. You will transform transaction flows, routing behavior, and user journey data into insights that directly shape roadmap and growth strategy. The position requires strong statistical expertise, hands-on experimentation experience, and comfort working with large-scale financial datasets. You will collaborate closely with product leaders and the CFO to evaluate unit economics, conversion funnels, and market dynamics. This is a high-ownership role based in New York City, working in-person with the core team.
Details
Location: NYC
Work Model: Hybrid (4 days in-office)
Employment Type: Full-time
Industry: Fintech / Crypto Infrastructure
Start Date: ASAP
Key Responsibilities
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
Requirements
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)
Experience with ML libraries (Pandas, NumPy, scikit-learn; PyTorch or TensorFlow a plus)
Familiarity with spreads, slippage, liquidity dynamics in crypto markets
Background in fintech, crypto analytics, or DeFi protocols
Deep interest in Web3 infrastructure and onchain ecosystems