Binance
1001 - 5000 employees
Founded 2017
₿ Crypto
💳 Fintech
💰 Initial Coin Offering on 2020-12
Crypto • Fintech
Binance is the world's leading cryptocurrency exchange, serving over 235 million registered users across more than 180 countries. The platform offers a wide array of services, including the trading of over 350 cryptocurrencies in Spot, Margin, and Futures markets. Users can also buy and sell crypto via Binance P2P, earn interest through Binance Earn, and engage in NFT trading on the Binance NFT marketplace. Binance provides low transaction fees and diverse payment options, making it a preferred choice for cryptocurrency enthusiasts worldwide.
Data Scientist – User Growth
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Binance
1001 - 5000 employees
Founded 2017
₿ Crypto
💳 Fintech
💰 Initial Coin Offering on 2020-12
Crypto • Fintech
Binance is the world's leading cryptocurrency exchange, serving over 235 million registered users across more than 180 countries. The platform offers a wide array of services, including the trading of over 350 cryptocurrencies in Spot, Margin, and Futures markets. Users can also buy and sell crypto via Binance P2P, earn interest through Binance Earn, and engage in NFT trading on the Binance NFT marketplace. Binance provides low transaction fees and diverse payment options, making it a preferred choice for cryptocurrency enthusiasts worldwide.
📋 Description
• Participate in the design and development of algorithm strategies for user growth, including user segmentation, intelligent recommendation, and incentive strategy optimization • Build user lifecycle models, including LTV prediction, churn warning, and conversion prediction, based on user behavior data • Design and implement A/B testing experiments to evaluate growth strategies and drive continuous iteration and optimization • Explore user characteristics and behavioral patterns using machine learning and causal inference methods to improve retention and conversion • Collaborate 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 at least 4 days per week for a minimum internship duration of 3 months • Solid foundation in machine learning and familiarity with LR, GBDT, and DNN models and applicable scenarios • Proficient in Python, NumPy, Pandas, and Scikit-learn for data analysis and modeling • Strong SQL skills for independently extracting and analyzing 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 and self-motivation, with the ability to learn quickly and solve problems independently • Experience with data science competitions, Uplift Modeling, Multi-Armed Bandit, Spark, Flink, or relevant publications are nice-to-haves
🏖️ Benefits
• Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team) • Opportunities for career growth and continuous learning • Networking and development opportunities • Transferable skills development • Innovative environment with autonomy • Collaboration with world-class talent in a user-centric global organization
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