Data Scientist, Risk

Summary

Join Binance's Accelerator Program as a Data Scientist and work with petabyte-scale datasets and cutting-edge machine learning infrastructure to build impactful data products. You will conduct data analysis and modeling across key domains, leverage data to perform in-depth user analysis and build personalized services, extract and analyze blockchain data to generate insights, and apply machine learning techniques to evaluate customer feedback. Collaborate with talented engineers, analysts, and business teams. This role requires proven experience in developing machine learning models at scale and a strong understanding of modern machine learning techniques. Bilingualism in English and Mandarin is required. Binance offers competitive salary and company benefits, including a work-from-home arrangement.

Requirements

• Proven experience in developing machine learning models at scale, from experimentation to deployment
• Strong understanding of modern machine learning techniques and their mathematical foundations, including classification, recommendation systems, and optimisation methods
• Hands-on experience working with large-scale datasets; experience with distributed data processing is preferred
• Bilingual in English and Mandarin is required, to effectively coordinate with overseas partners and stakeholders

Responsibilities

• Universe Risk Management: Conduct data analysis and modeling across key domains such as KYC, payments, credit, and exchange operations. Analyze user behavior and patterns to identify risk indicators and inform decision-making
• Personalized Services & Anomaly Detection: Leverage our petabyte-scale data warehouse to perform in-depth user analysis. Build personalized services and develop automated systems for detecting abnormal user activity
• Blockchain-Based Data Insights: Extract and analyze blockchain data to generate predictive insights and tailored recommendations
• Customer Feedback & Satisfaction Analysis: Apply machine learning techniques to evaluate customer feedback and satisfaction. Provide data-backed insights to guide product and service improvements

Preferred Qualifications

• Proficiency in programming languages such as Python, Java and/or Scala is preferred
• A Master’s degree or higher in a relevant field (e.g., Computer Science, Statistics, Applied Mathematics) is preferred
• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus
• Experience in deploying machine learning models into production environments is a strong advantage

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)