Data Scientist Product Analytics

My client, a leading Payments company in NYC is looking for a Data Scientist with a backgroudn in Product Analytics - please only send CV if you have this. Overview Join a fast-growing, data-driven Web3 payments company focused on building the right products at the right time. Operate at the intersection of product, engineering, and finance, turning onchain and product data into insights that shape roadmap, UX, and business performance. Partner closely with product teams and the CFO to analyze transaction flows, user behavior, and conversion funnels. Core

Responsibilities

Design and build scalable data models to analyze transaction flows, routing behavior, and end-to-end user journeys. Define, track, and interpret key product and business metrics (conversion, retention, engagement, unit economics). Run experiments (A/B tests and beyond), apply statistical and causal inference, and influence product decisions. Translate complex analyses into clear, actionable insights for technical and non-technical stakeholders, including leadership. Required Skills 5+ years of experience using Python and SQL in data science, analytics, or related roles. Strong foundation in statistics, experimentation design, and causal inference (A/B testing, uplift analysis, quasi-experiments). Bonus Experience Analysis of large-scale transaction or financial datasets (payments, trading, lending). Familiarity with market dynamics such as spreads, slippage, and liquidity, especially in crypto/DeFi. Experience with ML tooling (Pandas, NumPy, scikit-learn; PyTorch or TensorFlow a plus). Prior fintech or crypto analytics experience and deep curiosity about onchain data and Web3 infrastructure. Role based in New York.