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

14 days ago 2026/05/21
Other Business Support Services
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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 over 230 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 apply
Current 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


  • Able to commit to a duration of 6 to 12 months.
  • Currently enrolled as a full-time undergraduate or graduate student.
  • A Master’s degree or higher in a relevant field (e.g., Computer Science, Statistics, Applied Mathematics) is preferred.
  • Demonstrated experience in developing machine learning models at scale, from experimentation through to deployment.
  • Solid understanding of modern machine learning techniques and their underlying mathematics, including classification, recommendation systems, and optimization methods.
  • Practical experience handling large-scale datasets; familiarity with distributed data processing is an advantage.
  • Proficiency in Python, Java, or Scala is preferred.
  • Experience with deep learning frameworks such as TensorFlow or PyTorch is a plus.
  • Hands-on experience in deploying machine learning models in production is a strong asset.

This job post has been translated by AI and may contain minor differences or errors.
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