Data Science Jobs in Web3
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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Bangkok, Thailand |
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Cryptology | Lima, Peru | $98k - $103k | |||
Blockworks | New York, NY, United States | $79k - $84k | |||
Whatnot | Remote | $21k - $64k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Binance | Taipei, Taiwan |
| |||
Chainalysis | United States | $79k - $100k | |||
Easygo | Remote | $81k - $84k | |||
Crypto.com | Beijing, China | $98k - $109k | |||
Okx | Remote | $76k - $100k | |||
Octav | Montreal, CA, United States | $87k - $100k | |||
Dune | United States | $90k - $145k | |||
IO Global | Remote | $98k - $110k | |||
Okx | Remote | $84k - $84k | |||
Binance | Taipei, Taiwan |
| |||
Public | Remote | $135k - $175k |
Senior Big Data Engineer
Asia / Thailand, Bangkok / Taiwan, Taipei
Engineering – Big Data /
Full-time: Remote /
Hybrid
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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 over 230 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.
We are building a cutting-edge data platform with advanced infrastructure and tools to support data processing and analytics across the organization. As a Senior Big Data Engineer, you will leverage the latest technologies to design, build, optimize, and maintain data pipelines, data warehouses, and data lakes. Collaborating closely with data scientists, data analysts, and other engineers, you will deliver innovative data solutions to drive business success.
Responsibilities:
- Define the technical strategy and roadmap for data infrastructure evolution.
- Architect, implement, and maintain reliable and efficient platforms for data processing and analytics.
- Enhance model training and deployment workflows using MLOps/LLMOps practices.
- Lead and execute data platform projects, from initial design through to production.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in developing data infrastructure or constructing platforms.
- Proficiency in big data technologies, such as Hadoop, Spark, Flink, Hive, and Kafka.
- Strong programming skills in languages such as Java, Python, and SQL.
- Demonstrated ability to collaborate effectively and build strong relationships across teams.
- Experience with DevOps and Agile methodologies.
- Excellent analytical and problem-solving skills with a focus on automation.
- Knowledge of machine learning and data science workflows.
- Self-motivated, quick learner with a strong sense of ownership and accountability.
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.
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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.