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Binance Accelerator Program - Data Scientist (User Growth)

📅 Aug 4
Machine LearningPythonNumpyPandas

📜 Description

  • Participate in the design and development of algorithm strategies for user growth, including user segmentation and intelligent recommendation.
  • Build user lifecycle models (LTV prediction, churn warning, conversion prediction) based on user behavior data.
  • Design and implement A/B testing experiments to evaluate growth strategies and drive optimization.
  • Explore user characteristics and behavioral patterns using machine learning and causal inference methods.
  • Collaborate closely with product, operations, and engineering teams to translate algorithmic capabilities into measurable business growth.

🛠️ Requirements

  • Currently pursuing a Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, Artificial Intelligence, or a related field.
  • Solid foundation in machine learning, familiar with common models (e.g., LR, GBDT, DNN).
  • Proficient in Python, with hands-on experience using NumPy, Pandas, and Scikit-learn.
  • Strong SQL skills, able to independently extract and analyze data from databases.
  • Familiarity with areas like recommender systems, causal inference, or operations research is preferred.
  • Prior internship or project experience in user growth or computational advertising is a plus.
  • Strong communication skills and self-motivation, with the ability to learn quickly.

Benefits

  • Thrive in a results-driven workplace with opportunities for career growth and continuous learning.
  • Competitive salary and company benefits.

As a Data Scientist intern in the Binance Accelerator Program, you will design AI-powered trading systems, enhance language models, and collaborate with senior engineers on innovative projects.

Large-scale ModelsAI DevelopmentFinancial Trading SystemsPost-training Techniques

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