| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Gauntlet Networks | Remote | $45k - $75k | |||
Gauntlet Networks | Remote | $91k - $156k | |||
Gauntlet Networks | Remote | $32k - $76k | |||
cLabs | Remote | $91k - $156k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Change | Tallinn, Estonia | $91k - $156k | |||
Chainlink Labs | Remote |
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Chainlink Labs | Remote |
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Chainlink Labs | Remote |
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Alchemy | Remote | $45k - $75k | |||
Vauld | Bengaluru, India | $91k - $96k | |||
Rarible | Remote | $67k - $75k | |||
Cake Pte Ltd | Singapore, Singapore | $50k - $75k | |||
Binance | Asia |
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Figure | San Francisco, CA, United States |
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Coins.ph | Manila, Philippines | $30k - $70k |
This job is closed
Gauntlet’s mission is to drive adoption and understanding of the financial systems of the future. Gauntlet is the platform for off-chain intelligence that drives on-chain efficiency in Decentralized Finance (DeFi). We work with protocols to manage risk, improve capital efficiency, and manage incentive spend. We also publish cutting-edge research and aim to take a leading role in defining market risk standards across the industry.
Gauntlet is building infrastructure that allows us to simulate and stress-test blockchain protocols, contracts, and network interactions at scale over a wide range of market conditions. Our models ingest a wide range of on-chain and off-chain data, and are continuously calibrated to the current crypto market structure so that our recommendations are always up-to-date. These models and infrastructure power our platform that currently manages risk and optimizes incentives for over $40B in assets.
You will be leading a team of Data Scientists and Engineers to develop industry-leading products and infrastructure that will enable DeFi to achieve greater efficiency and impact.
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.