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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Hong Kong, Hong Kong |
| |||
Bcbgroup | Remote | $62k - $64k | |||
Bitgo | Remote | $126k - $144k | |||
Bitgo | Remote | $126k - $144k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Bitgo | Remote | $95k - $111k | |||
Binance | Taipei, Taiwan |
| |||
Binance | Hong Kong, Hong Kong |
| |||
Gsrmarkets | Remote | $80k - $95k | |||
Binance | Brisbane, Australia |
| |||
Binance | Taipei, Taiwan |
| |||
Bitpanda | Remote | $105k - $150k | |||
Token Metrics Inc. | London, United Kingdom | $28k - $38k | |||
Token Metrics Inc. | London, United Kingdom | $28k - $38k | |||
CertiK | New York, NY, United States | $80k - $93k | |||
Nansen | Remote | $98k - $150k |
Senior Data Engineer - AI Data Service
Asia / Hong Kong / Taiwan, Taipei
Engineering – Big Data /
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 over 280 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
- Responsible for designing, building, and maintaining scalable data pipelines to support Square tem’s data and feature engineering needs
- Lead feature data preparation, transformation, validation, and monitoring for machine learning and recommendation/search systems
- Collaborate closely with algorithm, product, and business teams to translate business requirements into reliable data and feature solutions
- Drive the development of core data infrastructure and feature platforms with data-driven strategies to maximize business impact
- Ensure data quality, stability, and performance across offline and online feature pipelines
- Identify data gaps and optimization opportunities, and define success metrics together with Product and Business stakeholders
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, or related fields, with 5+ years of relevant industry experience
- Strong hands-on experience in data engineering, including large-scale data processing, ETL/ELT pipelines, and feature engineering
- Expert-level proficiency in Java and Scala
- Solid experience with big data technologies (e.g. Spark, Hive, Flink, or similar distributed systems)
- Familiar with machine learning feature lifecycle, including offline training features and online serving features
- Experience working with data warehouses and feature stores is a strong plus
- Bilingual English and Chinese are required to be able to coordinate with overseas partners and stakeholders.
- Strong ownership, communication skills, and ability to work in a fast-paced, cross-functional environment
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.