Data Scientist (Fintech / Onchain Analytics)

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