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Data Scientist

R

RiskPod

📍 New York, NY, US💰Est.$200k - $300k🕐 Posted 4 weeks ago
Data ScientistOnsitepayments
pythonsqlpandasnumpyscikit-learnpytorchtensorflow

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Job Description

About the Role

My client, a leading Payments company in NYC is looking for a Data Scientist to join a fast-growing, data-driven Web3 payments company.

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.