Binance Accelerator Program - Data Scientist (Recommendation/Square Community)

Binance; Singapore; Remote; SGD 60,000 - 90,000; Full time

Benefits offered by this job

Remote-first

Competitive salary

Career growth

Learning opportunities

Job summary

Binance is seeking an early-career Data Scientist to join the Binance Square team. You will help develop next-generation recommendation and community intelligence systems, working with scientists, engineers, product managers, and business teams to improve content distribution and user engagement.

You will explore recall and ranking strategies, design experiments, and apply ML and data mining techniques to optimize content and creator discovery in a fast-paced, global environment.

Qualifications

• Pursuing a degree in CS, Data Science, Statistics, Mathematics, Engineering, or related fields.
• Strong analytical skills with solid understanding of statistics and ML.
• Proficient in SQL and at least one programming language such as Python.
• Familiar with recommendation systems, ranking models, or A/B testing is a plus.

Responsibilities

• Analyze user behavior, content quality, creator performance, and feed patterns.
• Support optimization of recall, ranking, cold-start, diversity, and personalization.
• Build metrics for content quality, user profiling, and community health.
• Conduct A/B testing, monitor metrics, and perform deep dives on results.
• Explore LLMs and multimodal models for content understanding and distribution.
• Collaborate with data engineers to improve pipelines and experiment tracking.

Skills

Python

SQL

Statistics

Machine learning

Data mining

Problem solving

Communication

Education

Bachelor's/Master's/PhD in CS/Data Science/Statistics/Math/Engineering

Tools

Python

SQL

Job description

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, and more. Our mission is to increase the freedom of money and financial access for people around the world.

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

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.

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.

Why Binance

• Shape the future of finance
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle challenging projects in a fast-paced and innovative enviornment with autonomy
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Remote-first, work-from-home arrangement (may vary depending on the nature of the role and 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 acknowledge that you have read 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.