Data Science Web3 Jobs in North America

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Job Position Company Posted Location Salary Tags

RiskPod

New York, NY, United States

$200k - $300k

Shakepay

Montreal, Canada

$98k - $110k

Kraken

Canada

$72k - $78k

Anchorage Digital

United States

$73k - $115k

Bitwave

United States

$98k - $171k

Baton Corporation

New York, NY, United States

$105k - $124k

CertiK

New York, NY, United States

$80k - $93k

Robinhood

Menlo Park, CA, United States

$247k - $290k

Ripple

San Francisco, CA, United States

$92k - $96k

Fmr

Boston, MA, United States

$140k - $285k

Anchorage Digital

United States

$84k - $100k

Kraken

United States

$96k - $192k

Certified

New York, NY, United States

$80k - $93k

Kraken

United States

$110k - $176k

Kraken

United States

$110k - $176k

RiskPod
$200k - $300k
United States New York US

My client, a leading Payments company in NYC is looking for a Data Scientist.


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.