Binance Accelerator Program - Data Scientist

Role Description

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

• Analyze user behavior, content quality, creator performance, and feed consumption patterns to identify opportunities for recommendation improvement.
• 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.

Qualifications

• Currently pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• 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.

Requirements

• Currently pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• 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.

Benefits

• 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).