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 ISO 9001 Certified | 400+ students | Learn more | by Metana | ||
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P2P. org📍 Cyprus Cyprus Cyprus |
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You will work with blockchain data, dashboards, and analytics tools to inform strategy and product development.
Responsibilities:
- Collect, process, and analyse on-chain data and transaction history.
- Build dashboards and visualisations to track blockchain activity and KPIs.
- Identify trends, anomalies, and patterns in decentralized networks.
- Collaborate with product, engineering, and research teams to inform decisions.
- Prepare reports and presentations for stakeholders.
Requirements:
- Experience with blockchain data analytics tools (The Graph, Dune Analytics, Nansen).
- Strong SQL, Python, or data analysis skills.
- Knowledge of blockchain concepts, protocols, and tokenomics.
- Ability to interpret and visualise complex datasets.
- Strong problem-solving and communication skills.
What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.