Data Science Jobs in Web3

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Job Position Company Posted Location Salary Tags

Rarible

Remote

$63k - $75k

CANDY

New York, NY, United States

$45k - $75k

Autograph

Santa Monica, CA, United States

$16k - $54k

MetaMask

United States

$40k - $92k

MetaMask

United States

$54k - $72k

MetaMask

San Francisco, CA, United States

$24k - $67k

Merkle Science

Bengaluru, India

$63k - $100k

Nuri

Berlin, Germany

$91k - $156k

Nuri

Berlin, Germany

$91k - $156k

Binance

Singapore, Singapore

Consensys

Remote

$40k - $92k

Consensys

Remote

$54k - $72k

Binance

Remote

Stellar Development Foundation

Austin, TX, United States

$43k - $75k

Data engineer

Rarible
$63k - $75k estimated

This job is closed

About Rarible

Rarible is a creator-centric NFT marketplace with a community governance model. We are a #1 ranked marketplace in the world, having exceeded $40 million USD in monthly trading volume. Rarible reached over 10x growth in the past 3 months, and is expanding rapidly! In addition, Rarible is releasing the Rarible Protocol which allows developers, other marketplaces, and partners to easily mint NFTs and to share NFT inventory with a decentralized order book.

Join our decentralized, motivated and fully remote team building the NFT marketplace of the future.

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.