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Senior Data Scientist (Content Understanding, NLP)
Asia / Taiwan, Taipei / Australia, Brisbane / Australia, Melbourne / Australia, Sydney / Hong Kong / UAE, Dubai
Engineering – Data Science/AI /
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 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.
We are looking for a Data Scientist expert to drive advancements in natural language processing and computer vision. You’ll work across content understanding scenarios such as classification, entity recognition, sentiment analysis, and image/video understanding, and help build large-scale systems that power content moderation, recommendation, and search.
Responsibilites
- Develop and optimize NLP/CV algorithms to improve the performance and efficiency of content understanding pipelines.
- Build scalable models (e.g., BERT, GPT, ViT, CLIP) and bring them into production.
- Partner with product and data teams to diagnose business challenges and design data-driven solutions.
- Track cutting-edge research and explore novel algorithms for real-world applications in content understanding.
- Drive system improvements that enhance moderation, recommendation and search workflow
Requirements
- Master’s Degree or above in Computer Science, AI, EE, Mathematics, or related fields.
- Strong programming skills in Python or C++ and familiarity with deep learning frameworks such as PyTorch.
- Solid foundation in machine learning/deep learning and hands-on experience with common models in NLP and/or CV.
- Experience working with large-scale data processing frameworks (Hadoop/Spark/Flink is a plus).
- 2+ years of algorithm/model development experience.
- Background in content safety, recommendation or search systems is highly valued.
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.