Data Science Web3 Jobs in New York, New York, United States
144 jobs found
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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
RiskPod | New York, NY, United States | $150k - $180k | |||
Fun | New York, NY, United States | $134k - $165k | |||
Symbiotic | New York, NY, United States | $90k - $150k | |||
Chainalysis | New York, NY, United States | $110k - $200k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Odiin. | New York, NY, United States | $79k - $99k | |||
RiskPod | New York, NY, United States | $200k - $300k | |||
Baton Corporation | New York, NY, United States | $105k - $124k | |||
CertiK | New York, NY, United States | $80k - $93k | |||
Certified | New York, NY, United States | $80k - $93k | |||
Fun.xyz | New York, NY, United States | $134k - $165k | |||
Temporal | New York, NY, United States | $200k - $300k | |||
Lensa | New York, NY, United States | $50k | |||
Gemini | New York, NY, United States | $168k - $240k | |||
Gemini | New York, NY, United States | $140k - $200k | |||
Gemini | New York, NY, United States | $192k - $275k |
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.