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Full-time
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Posted 14 hours, 26 minutes ago
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Job Description
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.
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