| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Powered by Pioneer | Singapore, Singapore | $91k - $102k | |||
Perena | Chicago, IL, United States | $105k - $123k | |||
Perena | Chicago, IL, United States | $105k - $123k | |||
Binance | Taipei, Taiwan |
| |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
PIP Labs | San Francisco, CA, United States | $90k - $100k | |||
Yale University | United States | $81k - $92k | |||
Binance | Singapore, Singapore |
| |||
Solana Foundation | Remote | $84k - $150k | |||
OP Labs | Remote | $126k - $150k | |||
Messari | Remote | $105k - $125k | |||
Nexo | BG | $76k - $87k | |||
M2 | Dubai, United Arab Emirates | $122k - $180k | |||
M2 | Dubai, United Arab Emirates | $153k - $157k | |||
Zscaler | Remote | $79k - $84k | |||
Figment | Toronto, Canada | $90k - $105k |
Intern Data Analyst
Responsibilities:
- Partner with on-chain business units to design and implement advanced analytics solutions, transforming raw blockchain data into actionable insights
- Lead analytical support for on-chain campaigns (e.g., airdrops, staking programs), ensuring accurate tracking of user eligibility, rewards distribution, and post-event ROI analysis
- Build data dashboards and visualizations (e.g., Dune Analytics , Tableau) to monitor key metrics (TVL, user activity, gas trends) and inform strategic decisions
- Be part of a fast-paced industry and organization where time to market is critical
Requirements
- Degree in a quantitative discipline, such as Mathematics/Statistics, Computer Science, Engineering
- Deep understanding of blockchain fundamentals: Mastery of EVM-based chains (e.g., Ethereum, BNB Chain, Polygon), including consensus mechanisms, transaction lifecycle, and smart contract execution is mandatory
- A self-driven team player with the ability to quickly learn and apply new tools and techniques such as proprietary analytical software, data models and programming languages
- Ability to decode transaction structures (e.g., Ethereumâs `txn` fields, Solanaâs account-based model) and smart contract logs/events (ABI parsing, event signature analysis)
- Expertise in Dune Analytics (SQL + dashboarding) and at least one other platform (e.g., Nansen, Glassnode)
- Ability to query and decode raw blockchain data (e.g. BigQuery public datasets for Ethereum/Solana)
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.