Data Scientist - Machine Learning Focus (Remote)

About the Role

Join Binance as a Data Scientist in our Accelerator Program, where you'll work remotely and leverage machine learning to drive innovation in the blockchain ecosystem. This role is perfect for early career talent looking to make an impact in the rapidly expanding Web3 space.

What You'll Do

• 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.
• Leverage our petabyte-scale data warehouse to perform in-depth user analysis and build personalized services.
• Develop automated systems for detecting abnormal user activity.
• Extract and analyze blockchain data to generate predictive insights and tailored recommendations.
• Apply machine learning techniques to evaluate customer feedback and satisfaction for product improvements.

Requirements

• 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.
• Experience in developing machine learning models at scale, from experimentation through to deployment.
• Solid understanding of modern machine learning techniques and their underlying mathematics.
• 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.

What We Offer

• Shape the future with the world’s leading blockchain ecosystem.
• Collaborate with world-class talent in a user-centric global organization.
• 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, which may vary depending on the business team's needs.

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