Data Science Jobs in Web3

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Job Position Company Posted Location Salary Tags

Solana Foundation

Remote

$112k - $180k

Coinhako

Singapore, Singapore

$31k

Binance

Hong Kong, Hong Kong

Bcbgroup

Remote

$105k - $120k

Zinnia

Remote

$88k - $101k

Zinnia

Remote

$122k - $123k

Okx

Remote

$98k - $150k

Okx

Remote

$88k - $119k

P2P. org

European Union

Layerzerolabs

Remote

$91k - $100k

Layerzerolabs

Vancouver, Canada

$75k - $77k

Integra

Remote

$88k - $101k

Integra

Remote

$72k - $84k

Chainlink Labs

Remote

$91k - $105k

Alpaca

Remote

$129k - $186k

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

The Solana Foundation is seeking a Head of Data to own our data strategy and lead the team that powers ecosystem intelligence across DeFi, developer activity, payments, stablecoins, RWA, and network economics.

This role is for someone who is as comfortable setting a multi-year data vision as they are reviewing pipelines or diving deep into the data themselves. You’ll manage a team of subject matter experts across multiple verticals, own the Foundation’s external data partnerships, and ensure that the right decisions are made with the right information.

The bar is high: we’re not looking for better dashboards—we’re looking for someone who can make data a true competitive advantage for the Solana ecosystem.

To be Successful in this Role

You will:

  • Define and own the Foundation’s data strategy—what we measure, why it matters, and how it informs decisions across the organization

  • Lead a team of analysts and analytics engineers, each owning a specific ecosystem vertical, and synthesize their work into a coherent cross-vertical perspective

  • Own relationships with the Foundation’s ecosystem data providers, ensuring coverage, quality, and methodological rigor

  • Work closely with client teams (like Anza, Firedancer, Jito, Temporal, etc.) on data-driven assessments of Solana protocol upgrades

  • Drive the data infrastructure roadmap and make decisions on tooling, gaps, and new partnerships

  • Represent the Foundation’s data perspective in executive conversations and external forums

You will have:

  • 5+ years of experience in data, with at least 3 years leading a team or function

  • Deep familiarity with on-chain data—you understand what the metrics mean and where they break down

  • Fluency across DeFi, developer ecosystem, stablecoins, payments, and network economics metrics

  • Strong technical foundation in SQL and Python, with hands-on experience managing a big data platform using modern data warehousing tools (Databricks, Snowflake, ClickHouse, etc.)

  • Proven track record managing external data vendor relationships—not just consuming outputs

  • Strong communicator who can translate complex, multi-signal analysis for non-technical stakeholders

Bonus Points:

  • Prior experience at a blockchain foundation, protocol, or DeFi analytics platform

  • Familiarity with Solana’s account model, fee mechanics, and program ecosystem

  • Existing relationships with analytics teams and data providers in the Solana ecosystem

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.