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Data Scientist (KYB)
Thailand, Bangkok / Indonesia, Jakarta / Taiwan, Taipei / Vietnam, Ho Chi Minh / Hong Kong / Asia
Engineering – Big Data /
Full-time Onsite or 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.
We’re looking for a Data Scientist to take a leading role in developing our KYB (Know Your Business) AI Chatbot, a system that directly improves customer onboarding efficiency and user experience. This position blends cutting‑edge AI model development, iterative experimentation, and real‑world deployment in a fast‑moving fintech environment.
You’ll work at the intersection of applied research and engineering — exploring the latest Agentic AI methods, rapidly prototyping ideas, and helping bring an intelligent, conversational onboarding agent into production.
Responsibilities:
- Lead the design, training, and implementation of a KYB AI chatbot to automate business identity verification and improve onboarding conversion rates.
- Rapidly explore and implement ideas from recent AI and conversational research papers, transforming them into functional prototypes.
- Collaborate with engineers and product teams to scale prototypes into robust production systems.
- Continuously evaluate and refine chatbot performance through data‑driven feedback loops and user analytics.
- Tackle persistent technical challenges with creativity, persistence, and a results‑driven approach.
- Communicate progress, findings, and technical insights clearly to both technical and business stakeholders.
Qualifications
- Proven experience in Agentic AI or customer‑facing chatbot development and implementation.
- Advanced coding proficiency in Python and SQL, with strong software engineering fundamentals.
- Deep understanding of conversational AI workflows, orchestration tools, and backend service integration.
- Excellent written and verbal communication skills.
- Self‑driven, delivery‑focused mindset with resilience in handling complex technical issues.
Preferred Qualifications
- Systematic knowledge of AI agent evaluation processes and performance benchmarking.
- Ability to identify root causes of chatbot issues and rapidly implement iterative improvements.
- Familiarity with LLM fine‑tuning, prompt optimization, or retrieval‑augmented generation (RAG).
- Exposure to KYB/KYC workflows or onboarding automation systems.
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.