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Binance Accelerator Program - Data Scientist (User Growth)

1 month, 2 weeks ago
Asia, Taiwan, Hong Kong
Internship
Entry Level
Data Scientist
Data Science and Analytics
Apache Spark Flink Machine Learning NumPy Pandas Python Reinforcement Learning Scikit-learn SQL Statistics
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Binance

Binance

Binance operates as a leading blockchain ecosystem and digital asset exchange, integrating digital technology with financial services to facilitate the trading and management of cryptocurrencies.

Capital Markets
5K-10K
Founded 2017
$10M raised
View All Jobs 261

Description

  • Participate in the design and development of user growth algorithm strategies, including segmentation, recommendation, and incentive optimization.
  • Build user lifecycle models such as LTV prediction, churn warning, and conversion prediction from behavioral data.
  • Design and implement A/B testing experiments to measure and improve growth strategy performance.
  • Use machine learning and causal inference methods to analyze user characteristics and behavioral patterns.
  • Collaborate with product, operations, and engineering teams to turn algorithmic work into measurable business growth outcomes.

Requirements

  • Currently pursuing a Master's or Ph.D. in Computer Science, Statistics, Mathematics, Artificial Intelligence, or a related field.
  • Available to intern at least 4 days per week for a minimum of 3 months.
  • Solid foundation in machine learning and familiarity with models such as LR, GBDT, and DNN.
  • Proficient in Python with hands-on experience using NumPy, Pandas, and Scikit-learn.
  • Strong SQL skills and the ability to independently extract and analyze database data.
  • Familiarity with recommender systems, causal inference, reinforcement learning, or operations research/optimization is preferred.
  • Prior internship or project experience in user growth, computational advertising, or search/recommendation systems is a plus.
  • Strong communication skills, self-motivation, and the ability to learn quickly and solve problems independently.
  • Experience in data science competitions such as Kaggle or Tianchi with notable achievements is a plus.
  • Experience with growth methods such as Uplift Modeling and Multi-Armed Bandit is a plus.
  • Experience with large-scale data processing frameworks such as Spark or Flink is a plus.
  • Publications in machine learning, data mining, or related fields are a plus.

Benefits

  • Competitive salary and company benefits.
  • Work-from-home arrangement, depending on the business team and work nature.
  • Opportunities for career growth and continuous learning.
  • Access to a global, world-class team in a flat organizational structure.
  • Autonomy to work on unique, fast-paced projects in an innovative environment.

Interested in this position?

Apply directly on the company website

Apply Now

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