Web3 Jobs in United States

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Job Position Company Posted Location Salary Tags

RiskPod

New York, NY, United States

$200k - $300k

Weiss Ratings

United States

$110k - $130k

CoinFlip

Chicago, IL, United States

$95k - $110k

Rise and Fame

New York, NY, United States

$27k - $90k

CoinFlip

Chicago, IL, United States

$88k - $125k

CoinFlip

Chicago, IL, United States

$180k - $220k

CoinFlip

Chicago, IL, United States

$48k - $57k

abbvie

Irvine, CA, United States

$74k - $101k

Paypal

San Jose, CA, United States

$143k - $212k

Circle

United States

$68k - $90k

Crypto.com

New York, NY, United States

$72k - $110k

Crypto.com

New York, NY, United States

$66k - $90k

CleanSpark

Las Vegas, NV, United States

$65k - $85k

Kast

New York, NY, United States

$87k - $150k

Kast

Washington, United States

$98k - $150k

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.