Data Science Jobs in Web3

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Job Position Company Posted Location Salary Tags

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

Crypto.com

United States

$94k - $105k

Chaoslabs

Remote

$130k - $150k

Binance

Singapore, Singapore

Binance

Singapore, Singapore

Binance

Taipei, Taiwan

Zinnia

Remote

$79k - $84k

Bitpanda

Remote

$73k - $84k

Solana Foundation
$84k - $150k estimated
Remote Remote USA
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Who We Are

The Solana Foundation is a non-profit based in Zug, Switzerland, dedicated to the adoption, decentralization, and security of the Solana network. Solana is a high performance blockchain that can deliver a fast and friendly user experience, without sacrificing security. The Solana Foundation is working to realize a world where individuals own their data, use permissionless networks, and transfer information and value freely around the world. We are looking for talented people who are willing to jump right in and use their expertise to help the ecosystem build.


The Opportunity

Solana Foundation is seeking a highly driven Data Engineer. The ideal candidate also has an acumen for inference, making sense of complex data and telling the correct story. At Solana Foundation we facilitate development across the ecosystem - the core protocol, infrastructure and apps. Making sense of this data will have a huge impact on the effectiveness of each release and inform apps how to best serve their customers. There are enormous possibilities for Solana to facilitate multiple trillion dollar financial industries like markets, payments, asset management. This role has the potential to grow along with the industry.

To be successful in this role

You will:

  • Collaborate with blockchain engineers to index blockchain data and create robust data pipelines

  • Efficiently parse and index a variety of data formats, ensuring high performance and low latency

  • Document technical processes and solutions to ensure knowledge sharing across the team.

  • Work with the Solana Improvement Document process to make sure updates are smooth and don’t see regressions during testing or in live environments

  • Help gather and formulate scores for informative metrics like decentralization scores, transaction inclusion performance, and economics.

You ideally have:Ā 

  • 5+ years of experience in data engineering, software engineering, or related roles

  • Strong understanding of data structures, algorithms, and efficient data processing techniques

  • Hands-on experience with serialized data formats (e.g., Protobuf, Avro, JSON, MessagePack)

  • Familiarity with blockchain technologies, including transaction data, smart contracts, and consensus mechanisms

    • Especially beneficial if you have experience with Solana data and the Solana ecosystem

  • Experience with cryptographic methods

  • Proficient large-scale databases and pipelining (clickhouse, snowflake, bigquery and Kafka, Rabbit MQ, Pub/Sub)

  • Experience with distributed data systems and cloud platforms (AWS, GCP, or Azure)

Bonus points:

  • Have contributed to open source projects

  • Proficiency in Rust

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.