Data Science Jobs in Web3

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Job Position Company Posted Location Salary Tags

Binance

Abu Dhabi, United Arab Emirates

Odiin.

New York, NY, United States

$79k - $99k

Binance

Hong Kong, Hong Kong

RiskPod

New York, NY, United States

$200k - $300k

Bcbgroup

Remote

$105k - $120k

Layerzerolabs

Remote

$91k - $100k

Layerzerolabs

Vancouver, Canada

$75k - $77k

Integra

Remote

$88k - $101k

Integra

Remote

$72k - $84k

Consensys

Remote

$117k - $187k

Binance

Taipei, Taiwan

Binance

Taipei, Taiwan

Binance

Taipei, Taiwan

P2P. org

Cyprus Cyprus Cyprus

Shakepay

Montreal, Canada

$98k - $110k

Binance
UAE, Abu Dhabi
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Business Intelligence/ Data Analyst (MENA Region)

UAE, Dubai / UAE, Abu Dhabi
Data & Research – Data & Analytics /
Full-time: Remote /
Remote

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Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

Responsibilities

    • Analyze and interpret large (PB-scale) volumes of transactional, operational and customer data using proprietary and open source data tools, platforms and analytical tool kits
    • Translate complex findings into simple visualisations and recommendations for execution by operational teams and executives
    • Analyse data independently to deliver insights about operational performance and proactively drive improvements
    • Write and optimize SQL queries to extract, clean, and analyze data from multiple data sources
    • Act as a strategic data business partner to your stakeholders
    • Support ad-hoc analysis requests from business and operational teams
    • Be part of a fast-paced industry and organisation where time to market is critical

Requirements

    • Degree in a quantitative discipline, such as Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences
    • 4-6 years of full-time work experience in an Analytics or Business Intelligence role
    • A self-driven team player with the ability to quickly learn and apply new tools and techniques such as proprietary analytical software, data models and programming languages
    • A natural curiosity to identify, investigate and explain trends and patterns in data and an ability to analyse and break down complex concepts and technical findings into clear and simple language for communication
    • Prior internal/client-facing consulting/business transformation experience preferred.
    • A passion for Emerging Technologies related to Blockchain, Machine Learning and AI
    •  
      Competency in two or more of the following:
    • An analytical software (e.g. R, SAS)
    • A data visualisation tool (e.g. Qlikview, Tableau, PowerBI,)
    • A relational or graph database management tool (e.g. SQL, NoSQL, Neo4J)
    • Programming (e.g. VBA, C++, Java, Python)

Why Binance
• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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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.