Binance · Singapore
Skills: Python, SQL
Binance(https://jobicy.com/company/binance) is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ 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, and more. Our mission is to increase the freedom of money and financial access for people around the world.
Responsibilities:
Participate in the design and development of algorithm strategies for user growth, including but not limited to user segmentation, intelligent recommendation, and incentive strategy optimization.
Build user lifecycle models (LTV prediction, churn warning, conversion prediction, etc.) based on user behavior data to drive precision operations and decision-making.
Design and implement A/B testing experiments to evaluate the effectiveness of growth strategies and drive continuous iteration and optimization.
Explore user characteristics and behavioral patterns using machine learning and causal inference methods to improve user retention and conversion.
Collaborate closely with product, operations, and engineering teams to translate algorithmic capabilities into measurable business growth outcomes.
Requirements:
Currently pursuing a Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, Artificial Intelligence, or a related field. Available to intern for at least 4 days per week, with a minimum internship duration of 3 months.
Solid foundation in machine learning, familiar with common models (e.g., LR, GBDT, DNN) and their applicable scenarios.
Proficient in Python, with hands-on experience using NumPy, Pandas, and Scikit-learn for data analysis and modeling.
Strong SQL skills, able to independently extract and analyze data from databases.
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