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Senior Data Scientist

Chaos Labs

Salary not specified
Sep 10, 2025
Remote, US
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Chaos Labs is looking to solve risk management and capital efficiency problems for crypto protocols by providing an automated, on-chain economic security system that safeguards user funds through world-class custom EVM simulations and actionable insights.

Requirements

  • Strong trading background required, including experience building models and deep understanding of derivatives, pricing, financial markets, and systems
  • Solid understanding of machine learning techniques and algorithms
  • Hands-on experience with Python and relevant data science packages
  • Bonus points for prior web3 experience using Dune or writing smart contracts
  • Bonus points for DeFi knowledge
  • Broader understanding of crypto and blockchain ecosystem – a plus

Responsibilities

  • Lead and drive innovative research to understand how different actors in the crypto market behave and interact, and drive modeling of such actors into Chaos Labs’ simulation platform
  • Explore new algorithms and techniques to surface insights in DeFi security and optimizations
  • Build data models and visualizations of public blockchain data and simulation results that provide intuitive analytics to customers such as AAVE, Uniswap, dydx, and others
  • Contribute to the continuous improvement and innovation of our platform.
  • Work alongside leading crypto engineers and product managers to deep dive into market-leading protocols and help drive game-changing insights and predictions
  • Present your insights and suggestions to audiences both internally and externally with the opportunity to publish industry-defining research
  • Collaborate with cross-functional teams to ensure high-quality outputs.

Other

  • 4+ years of professional experience in Data Science – a must
  • Previous experience in FinTech
  • You love working in small, dynamic, fast-paced teams that encourage you to learn and grow
  • Strong problem-solving abilities and a passion for DeFi and blockchain technology
  • Based in Europe with the flexibility to work remotely. Ability to travel up to 30% of the year to collaborate in person with the team.
  • Demonstrated ability to work in a fast-paced, collaborative environment