Binance Accelerator Program - Data Scientist, Risk (Machine Learning and Algorithms)

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 250 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, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
About Binance Accelerator Program Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds’ leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about BAP Program HERE. Who may applyCurrent university students and recent graduates.
At Binance, data is at the heart of everything we do. We operate a cloud-native platform that supports tens of millions of users — enabling engineers and data scientists to unlock insights and drive innovation at scale.
As a Data Scientist, you’ll work with petabyte-scale datasets and cutting-edge machine learning infrastructure to build impactful data products that touch millions of users globally. You’ll collaborate with talented engineers, analysts, product managers, marketers, and business teams to develop features, models, algorithms, and end-to-end solutions that push the boundaries of what’s possible with data and AI in crypto.

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

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
• 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
• Bilingual in English and Mandarin is required, to effectively coordinate with overseas partners and stakeholders

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 (the arrangement may vary depending on the work nature of the business team)
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