My client, a leading Payments company in NYC is looking for a Data Scientist.
Overview
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Join a fast-growing, data-driven Web3 payments company focused on building the right products at the right time.
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Operate at the intersection of
product, engineering, and finance
, turning
onchain and product data
into insights that shape roadmap, UX, and business performance.
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Partner closely with product teams and the CFO to analyze transaction flows, user behavior, and conversion funnels.
Core Responsibilities
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Design and build scalable data models to analyze transaction flows, routing behavior, and end-to-end user journeys.
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Define, track, and interpret key product and business metrics (conversion, retention, engagement, unit economics).
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Run experiments (A/B tests and beyond), apply statistical and causal inference, and influence product decisions.
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Translate complex analyses into clear, actionable insights for technical and non-technical stakeholders, including leadership.
Required Skills
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5+ years of experience using
Python and SQL
in data science, analytics, or related roles.
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Strong foundation in
statistics, experimentation design, and causal inference
(A/B testing, uplift analysis, quasi-experiments).
Bonus Experience
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Analysis of large-scale
transaction or financial datasets
(payments, trading, lending).
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Familiarity with
market dynamics
such as spreads, slippage, and liquidity, especially in crypto/DeFi.
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Experience with ML tooling (Pandas, NumPy, scikit-learn; PyTorch or TensorFlow a plus).
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Prior fintech or crypto analytics experience and deep curiosity about
onchain data and Web3 infrastructure
.
Role based in New York.