| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Hong Kong, Hong Kong |
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Binance | Hong Kong, Hong Kong |
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Binance Accelerator Program - Data Scientist (Recommendation/Square Community)
About the Role
We are looking for a Data Scientist early careers talent to join the Binance Square team and support the development of next-generation recommendation and community intelligence systems.
Binance Square is evolving from a content feed into an intelligent Web3 financial community, helping users discover market trends, trading ideas, hot topics, and high-quality creators. In this role, you will work closely with data scientists, algorithm engineers, product managers, and business teams to improve content distribution, user engagement, and community growth through data-driven recommendation strategies.
Responsibilities
Support the optimization of key recommendation scenarios, including Feed, Hot Tab, Topic, News, Trading Analysis, and creator distribution.
Build and refine data metrics for content quality, user interest profiling, creator quality, community health, and trading-related content.
Participate in recommendation strategy design, including recall, ranking, cold-start, diversity, personalization, and traffic allocation.
Conduct A/B testing, metric monitoring, bad-case analysis, and experiment deep dives to evaluate algorithm and product impact.
Explore the application of LLMs and multimodal models in content understanding, topic tagging, hot event detection, and personalized distribution.
Work with engineering teams to improve data pipelines, feature logging, experiment tracking, and recommendation system efficiency.
Requirements
Strong analytical skills and solid understanding of statistics, machine learning, and data mining.
Proficient in SQL and at least one programming language such as Python.
Familiar with recommendation systems, ranking models, user profiling, A/B testing, or causal analysis.
Good business sense and ability to translate data insights into product or algorithm improvements.
Strong communication skills and ability to work cross-functionally with product, algorithm, engineering, and operations teams.
Interest in Web3, crypto, financial markets, online communities, or content recommendation is a plus.
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.