Data Science Jobs in Web3

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Job Position Company Posted Location Salary Tags

Paradextrade

Remote

$88k - $102k

P2P. org

Remote

Dvtrading

Remote

$100k - $150k

Zora

Remote

$54k - $100k

Coinbase

Remote

$130k - $154k

Fabric of Truth, Inc

Belgium

$84k - $164k

Arbitrum Foundation

APAC

$90k - $125k

Integra

Remote

$98k - $103k

P2P. org

United Kingdom

P2P. org

United Kingdom

Crypto.com

Hong Kong, Hong Kong

$80k - $100k

Confirmo

Prague, Czech Republic

$112k - $120k

SwissBorg

Lisbon, Portugal

$27k - $67k

Binance

Taipei, Taiwan

BitGo

Toronto, Canada

$180k - $240k

Paradextrade
$88k - $102k estimated
Remote
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About Paradex Paradex isn’t just another decentralized exchange—it’s a Super App. We’ve combined three powerful financial primitives: Exchange, Asset Management, and Borrow/Lend Markets, all seamlessly composable and accessible through one unified account that uses your entire portfolio as collateral, including any spot and derivative assets. Trade, earn, borrow, lend, and grow your on-chain identity—all in one place. Backed by top-tier investors and incubated by Paradigm, we are scaling rapidly. Come help us grow! Quick Facts

$50 Billion Lifetime Volume $180 Million Average Daily Volume $35 Million Total Value Locked Paradex is committed to building transparently in public 👉 key platform stats Your MissionAs a vital member of our data engineering team, you’ll architect and implement robust data infrastructure that transforms raw data into actionable insights. You’ll work on building scalable pipelines and data models that power critical decision-making across the organization. Your expertise will be crucial in establishing data best practices and ensuring data quality, accessibility, and reliability throughout our systems.   What You’ll Do

Design & Build: Create and maintain scalable data pipelines, ETL processes, and data warehousing solutions that handle complex data requirements. Optimize & Scale: Improve data infrastructure performance, implement data quality measures, and develop automated monitoring systems. Empower & Enable: Partner with product, engineering and go-to-market teams to deliver data solutions that drive strategic insights. Rapid Response: Quickly address time-sensitive data needs and ad-hoc requests from stakeholders, turning around critical analyses and data solutions with urgency while maintaining accuracy.

What You’ll Bring

Expertise: 7+ years of data engineering experience Data Architecture: Deep knowledge of data modeling, warehouse design, and ETL best practices. Technical Mastery: Proficiency with modern data stack (Snowflake, Airflow/DBT) and AWS. Systems Thinking: Experience with distributed systems, data streaming (Kafka/Kinesis), and optimization of large-scale data workflows. Agility: Proven track record of efficiently tackling urgent data requests and providing quick solutions to business-critical data needs.

At Paradex we're doing something different. Moving forward we ask all candidates to send in a video with their application, telling us why they want to be part of the team.The video should be no longer than 1 minute and via a link to a streaming platform of your choice. (No files or download links will be accepted)Your Perks & Benefits

Competitive Pay: Top-tier compensation in the industry. Generous PTO: Unlimited vacation. Full Benefits: Comprehensive packages tailored by country. Technology & Learning Allowances: 3,500 USD for your first-year setup, $2,000 USD refresh every 2 years, plus $1,000 USD annually for learning and development

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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.