Data Scientist Product Analytics

About Us

My client is a leading payments company in NYC, a fast-growing, data-driven Web3 payments company focused on building the right products at the right time.

The Role

Join a team operating at the intersection of product, engineering, and finance, turning onchain and product data into insights that shape roadmap, UX, and business performance. You will partner closely with product teams and the CFO to analyze transaction flows, user behavior, and conversion funnels.

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.

Requirements

• 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).
• Background in product analytics required.

Nice to Have

• 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.

Location

New York