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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.