Data Scientist for DeFi & Digital Asset Performance Analytics

Hiring : 3 developers We are seeking an experienced Data Scientist with knowledge of blockchain and decentralized finance (DeFi) to develop a data science prototype focused on digital asset performance analytics. The project aims to explore how data science, statistical analysis, and machine learning can be applied to blockchain-based financial data to generate meaningful insights into digital asset performance, DeFi protocol activities, and financial risk indicators. The ideal candidate should have experience working with blockchain data, financial datasets, and analytical models, with the ability to transform raw on-chain data into structured information and actionable insights. This engagement will initially focus on developing a Proof of Concept (POC), with the potential for further development based on the results. Project Scope The selected freelancer will be responsible for: 1. Blockchain Data Collection - Retrieve and process on-chain data from selected DeFi protocols. - Analyze transaction histories, deposits, withdrawals, liquidity, and asset balances. - Work with EVM-compatible blockchain data and relevant APIs. 2. Digital Asset Performance Analytics - Develop analytical models to evaluate digital asset and DeFi vault performance. - Analyze historical asset performance and relevant financial metrics. - Identify trends and patterns in asset movements and protocol activities. - Calculate relevant performance indicators, such as TVL, returns, and liquidity metrics. 3. Data Science & Machine Learning - Apply statistical methods to identify patterns and anomalies in financial data. - Explore predictive modeling where appropriate. - Develop analytical methods for identifying potential financial risks and unusual activities. - Evaluate the effectiveness and limitations of the proposed models. 4. Prototype Development - Build a functional data science prototype demonstrating the proposed analytical capabilities. - Organize and process blockchain data into structured datasets. - Present analytical results through visualizations, reports, or a lightweight dashboard. - Document the methodology, assumptions, and technical implementation. Required Qualifications - Strong experience in Python and data science. - Proficiency in Pandas, NumPy, and SQL. - Experience with statistical analysis and data modeling. - Familiarity with machine learning techniques. - Experience analyzing blockchain or cryptocurrency datasets. - Understanding of DeFi protocols and digital asset ecosystems. - Ability to work independently and deliver a functional POC. Preferred Qualifications - Experience with Ethereum and EVM-compatible networks. - Familiarity with ERC-20 and ERC-4626 token standards. - Experience with blockchain data APIs, Web3.py, or similar tools. - Experience analyzing DeFi vaults, liquidity pools, and digital asset portfolios. - Knowledge of financial performance measurement and risk analysis. - Experience developing data visualization dashboards. We are particularly interested in candidates who can combine strong data science capabilities with practical blockchain knowledge and deliver a working prototype rather than just a theoretical research report.