Senior Data Scientist - DeFi & Stablecoins

USA (Remote)Full-TimeSenior
Salary not disclosed
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Job Details

Required Skills
SQLData visualizationdbt

Requirements

  • Deep interest in DeFi, stablecoins, and the role of on-chain financial infrastructure in daily life
  • Strong SQL and visualization skills
  • Hands-on experience working with on-chain data (e.g., Dune, Flipside, Allium, or raw node/indexer data)
  • Familiarity with DeFi primitives and key metrics (TVL, volume, LP economics, lending utilization, mint/redeem activity)
  • Strong attention to detail and a desire to work on data analysis as a collaborative discipline
  • Existing web3 experience
  • Comfort navigating on-chain data, DeFi protocols, and the broader crypto ecosystem
  • Backgrounds in quantitative finance, trading, market making, exchanges, or fintech analytics are highly valued
  • Familiarity with concepts like TVL, volume quality, LP returns, peg stability, mint/redeem flows, and cross-chain bridging is a strong plus
  • Experience writing stable and maintainable analytics engineering pipelines is a plus, particularly in dbt, or similar frameworks
  • Comfort orchestrating jobs against high-volume on-chain data

Responsibilities

  • Build dashboards that drive understanding of DeFi protocols and stablecoin activity on Sui for PMs, engineers, Partnerships, and the executive leadership team
  • Run analyses on liquidity, trading volumes, lending utilization, holder behavior, and stablecoin velocity to identify high-impact opportunities for Mysten Labs and ecosystem partners
  • Develop measurement frameworks for evaluating DeFi protocol health, wash trading detection, real vs. incentivized activity, and stablecoin adoption quality
  • Collaborate with the data and engineering teams to set new standards for DeFi and stablecoin measurement across the industry
  • Partner with BD and partnerships to measure the impact of integrations with major DeFi protocols, stablecoin issuers, and market makers
  • Make data processing jobs run reliably in a lightweight, scrappy environment
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