币安加速器计划 - 数据科学家(用户增长)
Binance Accelerator Program - Data Scientist (User Growth)
Binance 是全球领先的区块链生态系统,是交易量和注册用户数最多的加密货币交易所。Binance 在 100 多个国家受到超过 3.2 亿人的信赖,因其行业领先的安保、透明度、交易引擎速度、对投资者的保护以及从交易和金融到教育、研究、公益、支付、机构服务和 Web3 功能的数字资产产品组合而备受认可。Binance 致力于构建一个包容性的加密生态系统,以加密货币为基本手段,提升全球人们的金钱自由度和金融可及性。
关于 Binance 加速器计划
Binance 加速器计划(BAP)是一个为期 3-6 个月的实习项目,专为早期职业人才设计,让他们在快速扩展的数字资产领域获得第一手经验。你将有机会在 Binance 发展技能,并了解在世界领先的区块链生态系统工作的体验。作为 BAP 实习的一部分,还将有社交和发展的机会,拓展你的专业人脉并建立可转移的技能,推动你的职业生涯向前发展。了解 BAP 计划 HERE。
申请对象
目前在校大学生和应届毕业生。
*雇佣/合作条款须以合同和当地适用法律为准
职责:
- 参与用户增长算法策略的设计和开发,包括但不限于用户分群、智能推荐和激励策略优化。
- 基于用户行为数据构建用户生命周期模型(如 LTV 预测、流失预警、转化预测等),以驱动精准运营和决策。
- 设计并实施 A/B 测试实验,评估增长策略的有效性并推动持续迭代和优化。
- 使用机器学习和因果推断方法探索用户特征和行为模式,以提高用户留存和转化。
- 与产品、运营和工程团队紧密合作,将算法能力转化为可衡量的业务增长成果。
要求:
- 正在攻读计算机科学、统计学、数学、人工智能或相关领域的硕士学位或博士学位。每周至少能实习 4 天,实习期不少于...
查看英文原文
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, protections for investors, and unmatched portfolio of digital asset products and offerings from trading and finance to education, research, social good, payments, institutional services, and Web3 features. Binance is devoted to building an inclusive crypto ecosystem to increase the freedom of money and financial access for people around the world with crypto as the fundamental means.
About Binance Accelerator Program
Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program HERE.
Who may apply
Current university students and recent graduates.
*Terms of employment / engagement shall be subject to contract and local applicable laws
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.
- Familiarity with at least one of the following areas is preferred: recommender systems, causal inference, reinforcement learning, or operations research/optimization.
- Prior internship or project experience in user growth, computational advertising, search/recommendation systems is a plus.
- Strong communication skills and self-motivation, with the ability to learn quickly and solve problems independently.
Nice-to-Haves
- Experience in data science competitions (e.g., Kaggle, Tianchi) with notable achievements.
- Familiarity with growth-specific methods such as Uplift Modeling and Multi-Armed Bandit.
- Experience with large-scale data processing frameworks (e.g., Spark, Flink).
- Publications in machine learning, data mining, or related fields.
Why Binance
• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• 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 (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Why Binance• Shape the future with the world’s leading blockchain ecosystem• Collaborate with world-class talent in a user-centric global organization with a flat structure• 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 (the arrangement may vary depending on the work nature of the business team)Why Binance
• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• 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 (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
Originally posted on Himalayas