Company

AdimSee more

addressAddressLos Angeles, CA
type Form of workFull-Time
CategoryInformation Technology

Job description

Adim is on the hunt for a highly skilled and knowledgeable Data Scientist with a strong background in cryptoeconomics to join its talented team. As a Data Scientist specifically focused on token engineering, you will play a pivotal role in designing and analyzing token models, implementing economic structures and running ever important simulations to optimize incentive mechanisms for blockchain protocols. The ideal candidate has a passion and interest in token engineering and data analysis - and your keen eye for simulation will most definitely contribute to the success and innovation of our project.
The day to day for this role will sit across three main focus areas- token engineering (modeling & simulation), typical data analysis and insights (visualizations and simulations) and cryptoeconomic system design (analysis and validation of new crypto systems).
Responsibilities:

  • Token Modeling and Simulation:
    • Model and calculate token financials, sensitivity, transaction amounts, and supply to meet quantitative requirements.
    • Design and optimize incentive models for blockchain protocols, considering potential attack vectors and system vulnerabilities.
    • Run simulations to examine different outcomes, explore tokenomics, and refine economic structures.
    • Contribute to token ideation, whitepaper development, and core research around investments and treasury management.
    • Utilize economic mechanism modeling, game theoretical behavioral analysis, optimization techniques, and agent-based modeling for testing tokenomics.
  • Data Analysis and Insights:
    • Build data models and develop visualizations of public blockchain data and simulation results. Provide intuitive analytics to customers and stakeholders for informed decision-making.
    • Collect, process, and analyze data to derive insights and make recommendations for business strategies and protocol governance.
    • Design and develop predictive models and algorithms to drive ecosystem growth and enhance governance mechanisms.
  • Cryptoeconomic System Design and Validation:
    • Analyze and validate the designs of new cryptoeconomic systems, ensuring their effectiveness, security, and sustainability.
    • Collaborate with design and implementation teams to identify objective functions of tokens, compare existing mechanisms, and test new designs through simulations.
    • Contribute to the team responsible for the design, modeling, and implementation of protocols.
    • Contribute to risk mitigation strategies and governance mechanisms in token design.

Qualifications:
  • Education and Experience: Bachelor's or Master's degree in Computer Science, Network Science, Robotics, Statistics, Applied Mathematics, or a related field.
  • 3+ years of experience in economics, engineering, or product roles in the blockchain ecosystem.
  • Strong knowledge and experience in token engineering, token modeling (e.g., cadCAD, Gauntlet, Machinations), and mechanism design. Familiarity with new and existing token models, including voting escrow mechanisms, gauges, buyback and burn initiatives, and liquid staking derivatives.
  • Proficiency in Python or similar languages for data mining, analysis, and simulation. Experience with scientific computing packages such as NumPy, SciPy, and Pandas. Familiarity with distributed computation frameworks like Spark, Flink, and TensorFlow.
  • Deep understanding of high-performance distributed systems, Web3 infrastructure, Layer 1s, Layer 2s, bridges, stablecoins, and DeFi protocols (e.g., Aave, Uniswap, Curve). Demonstrable interest and knowledge of key blockchain and consensus protocols, including technical and cryptoeconomic system designs.
  • Proactive Problem-Solving and Communication: Proven ability to proactively solve problems, work independently, and collaborate effectively in multidisciplinary teams.
  • Excellent written and verbal communication skills in English.
Refer code: 7299501. Adim - The previous day - 2023-12-19 06:29

Adim

Los Angeles, CA
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