Data Scientist – Early Careers (Binance Square)

Binance is a leading global blockchain ecosystem, home to the world's largest cryptocurrency exchange. We serve over 300 million users in 100+ countries, recognized for our industry-leading security, transparency, speed, and extensive range of digital asset products. Our mission is to build an inclusive financial ecosystem using digital assets and blockchain technology to advance the freedom of money and improve global financial access.

About the Binance Accelerator Program (BAP)

The Binance Accelerator Program is a concise, fixed-term program designed for early-career talent seeking an immersive experience in the rapidly expanding Web3 space. Participants will experience life at Binance, gain insight into the operations of a leading blockchain ecosystem, and benefit from networking and development opportunities to build transferable skills and expand their professional network. Learn more about the BAP Program HERE.

Who may apply: Current university students and recent graduates.

About the Role

We are seeking an enthusiastic early-career Data Scientist to join the Binance Square team. You will contribute to the development of next-generation recommendation and community intelligence systems. Binance Square is transforming into an intelligent Web3 financial community, helping users discover market trends, trading ideas, hot topics, and high-quality creators. In this role, you will collaborate closely with data scientists, algorithm engineers, product managers, and business teams to enhance content distribution, user engagement, and community growth through data-driven 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, covering aspects like recall, ranking, cold-start, diversity, personalization, and traffic allocation.
• Conduct A/B testing, monitor metrics, perform bad-case analysis, and deep-dive into experiments 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.
• Collaborate with engineering teams to improve data pipelines, feature logging, experiment tracking, and recommendation system efficiency.

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 with a solid understanding of statistics, machine learning, and data mining.
• Proficient in SQL and at least one programming language such as Python.
• Familiarity with recommendation systems, ranking models, user profiling, A/B testing, or causal analysis.
• Good business acumen and the ability to translate data insights into product or algorithm improvements.
• Strong communication skills and the 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.

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 (may vary based on team's work nature).