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Binance
Thailand, Bangkok
Data Scientist, Binance Square
Taiwan, Taipei / Thailand, Bangkok / Australia, Brisbane / Australia, Melbourne / Australia, Sydney / Indonesia, Jakarta
Engineering â Data Science/AI /
Full-time: Remote /
Remote
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Binance is a leading global blockchain ecosystem behind the worldâs 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.
About the Role
As a Data Scientist for Binance Square, you will be responsible for designing and managing recommendation services and models that power personalised user experiences on our social content platform. You will apply advanced machine learning personalisation techniques, leveraging design patterns and tools to deliver highly relevant and engaging content to users. With a strong foundation in recommendation systems and an understanding of the Web3 and crypto business domain, you will drive the development of core modules using data-driven strategies to maximise impact. You will also play a key role in identifying user needs and growth opportunities, collaborating with Business and Product teams to define success metrics and measure the value of AI-driven personalisation. This role requires both technical depth and product intuition to elevate the impact of Binance Square as the go-to platform for the global crypto community.
Responsibilities:
- Design, develop, and manage recommendation services and models to power personalised user experiences.
- Apply machine learningâdriven personalisation methods, design patterns, and tools to deliver scalable solutions.
- Leverage deep expertise in recommendation systems combined with business domain knowledge to elevate the impact of AI products.
- Drive the development of core modules using data-driven strategies to maximise business and user value.
- Partner with Business and Product teams to identify opportunities, define success metrics, and ensure measurable impact.
Requirements:
- Bachelorâs or Masterâs degree in Machine Learning, Computer Vision, Computer Science, Applied Mathematics, or a related field, with a minimum of 2 years of relevant industry experience.
- Strong practical expertise with leading Machine Learning frameworks such as PyTorch or TensorFlow.
- Proficiency in English, with excellent written and verbal communication skills.
- Experience in developing and deploying applications at scale.
- Strong collaboration skills, with prior experience working effectively in global, cross-functional teams considered a plus.
Why Binance
âą Shape the future with the worldâs leading blockchain ecosystem
âą Collaborate with world-class talent in a user-centric global organization with a flat structure
âą Tackle unique, fast-paced projects with autonomy in an innovative environment
âą Thrive in a results-driven workplace with opportunities for career growth and continuous learning
âą Competitive salary and company benefits
âą 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.