Bitget
About us
Bitget is the world's largest Universal Exchange (UEX), serving over 125 million users and offering access to over 2M crypto tokens, 100+ tokenized stocks, ETFs, commodities, FX, and precious metals such as gold. The ecosystem is committed to helping users trade smarter with its AI agent, which co-pilots trade execution.
Bitget is driving crypto adoption through strategic partnerships with LALIGA and MotoGP™. Aligned with its global impact strategy, Bitget has joined hands with UNICEF to support blockchain education for 1.1 million people by 2027. Bitget currently leads in the tokenized TradFi market, providing the industry's lowest fees and highest liquidity across 150 regions worldwide.
What you'll do
1. Growth Algorithm System Construction: Responsible for the construction and planning of algorithms for the entire user lifecycle (acquisition, activation, retention, conversion), and accountable for core growth indicators such as user scale, activity rate, retention rate, GMV/revenue.
2. User Understanding and Prediction Modeling: Based on massive behavioral data, build deep user understanding and prediction models, including conversion estimation, churn warning, activity prediction, willingness to pay identification, user LTV (lifetime value) estimation, etc., providing decision support for refined operations.
3. User Stratification and Strategy Insights: Build a scientific and dynamic user stratification system, accurately identifying high-value users, high-potential conversion groups, churn-risk groups, dormant users, etc., and output actionable strategy insights.
4. Intelligent Marketing Reach Optimization: Including crowd selection, personalized and intelligent personalization of reach timing/channels/content (such as Push, SMS, in-site messages, coupons, red envelope subsidies), achieving dual improvements in ROI and user experience.
5. Marketing Activity Increment Measurement: Apply Uplift Modeling, causal inference, etc., to scientifically and objectively quantify the real business increment of marketing interventions, guiding budget allocation, optimizing resource allocation efficiency, and effectively identifying and preventing "hoarding" behaviors.
6. Experiment and Implementation Closed Loop: Lead the design and promotion of rigorous A/B experiments, collaborate efficiently with product, operation, and engineering teams, driving the algorithm model from offline research and development, online experiments to full-scale launch in a complete closed loop.
What you'll need
1. Bachelor's degree or above in Computer Science, Mathematics, Statistics, Artificial Intelligence, etc., with solid mathematical statistics and programming skills.
2. 3-5 years or more of algorithm-related experience, capable of independently responsible for the design and end-to-end iteration of a core algorithm module, with the ability to define problems, plan technical routes, and drive cross-team project implementation.
3. Have practical implementation experience in intelligent marketing, user growth, computing advertising, recommendation systems, etc. in large-scale Internet companies; have led or deeply participated in relevant projects and achieved quantifiable and replicable business results.
4. Proficient in machine learning, with in-depth understanding and practical experience of models such as LR, GBDT, DeepFM, DIN/DIEN, etc., and proficient in using PyTorch / TensorFlow frameworks.
5. Excellent data processing and analysis skills, proficient in using SQL / Hive / Spark tools to process massive data.
6. Strong sense of ownership and excellent business understanding, able to proactively identify opportunities from data, drive business growth with technical solutions, rather than passively accepting requirements.
7. Clear logic, good at communication, able to clearly convey complex model principles and experimental conclusions to different background partners (product, operation, management), with excellent cross-team collaboration and project promotion capabilities.
8. Able to adapt to a fast-paced business iteration environment, maintaining stable mindset and high-quality output under high-intensity work (such as major promotions, important event nodes).
【Bonus Points】
• Have practical experience in causal inference, Uplift Modeling, and reinforcement learning for optimizing subsidy/delivery strategies.
• Have application experience in user behavior sequence modeling (such as DIN/DIEN/SIM) or graph algorithms in user insights.
• Have application experience in large models (LLM) in user insights, population tag generation, personalized marketing copywriting, etc.
• Have experience in building complex algorithm systems from scratch (such as user growth platform, intelligent marketing system) or leading algorithm support for major promotion activities.
岗位职责:
1. 增长算法体系建设:负责用户全生命周期(拉新、促活、留存、转化)的算法体系建设与规划,对用户规模、活跃度、留存率、GMV/营收等核心增长指标负责。
2. 用户理解与预测建模:基于海量行为数据,构建深度用户理解与预测模型,包括转化预估、流失预警、活跃度预测、付费意愿识别、用户LTV(生命周期价值)预估等,为精细化运营提供决策支持。
3. 用户分层与策略洞察:构建科学、动态的用户分层体系,通过算法模型精准识别高价值用户、高潜转化人群、流失风险人群、沉睡用户等,并输出可执行的策略洞察。
4. 智能营销触达链路优化:包括人群圈选、触达时机/渠道/内容的个性化与智能化(如Push、短信、站内信、优惠券、红包补贴等),实现ROI和用户体验的双重提升。
5. 营销活动增量度量:应用Uplift Modeling、因果推断等方法,科学、客观地量化营销干预的真实业务增量,指导预算分配,优化资源投放效率,并有效识别和防控“薅羊毛”行为。
6. 实验与落地闭环:主导设计和推动严谨的A/B实验,与产品、运营、工程团队高效协同,驱动算法模型从离线研发、线上实验到全量上线的完整闭环。
任职要求:
1. 计算机、数学、统计学、人工智能等相关专业本科及以上学历,具备扎实的数理统计与编程功底。
2. 3-5年或以上算法相关经验,能独立负责一个核心算法模块的设计与端到端迭代,具备定义问题、规划技术路线并推动跨团队项目落地的能力。
3. 具备大型互联网公司智能营销、用户增长、计算广告、推荐系统等领域的实际落地经验;主导或深度参与过相关项目,并取得可量化、可复盘的业务成果。
4. 精通机器学习,对LR、GBDT、DeepFM、DIN/DIEN 等模型有深入理解和实践,熟练使用 PyTorch / TensorFlow 框架。
5. 具备优秀的数据处理和分析能力,熟练使用 SQL / Hive / Spark 等工具处理海量数据。
6. 具备强烈的Owner精神和出色的业务理解力,能主动从数据中洞察机会点,用技术方案驱动业务增长,而非被动接受需求。
7. 逻辑清晰,善于沟通,能将复杂的模型原理、实验结论清晰地传达给不同背景的合作方(产品、运营、管理层),具备优秀的跨团队协作和项目推动能力。
8. 能适应快节奏的业务迭代环境,在高强度工作下(如大促、重要活动节点)保持稳定心态和高质量产出。
【加分项】
• 有因果推断、Uplift Modeling、强化学习在补贴/触达策略优化中的实战经验。
• 有用户行为序列建模(如 DIN/DIEN/SIM)或图算法在用户洞察中的应用经验。
• 有大模型(LLM)在用户洞察、人群标签生成、个性化营销文案等场景的应用经验。
• 有从0到1搭建复杂算法系统(如用户增长平台、智能营销系统)的经验或主导过大促活动的算法保障。
Why Bitget?
If you are ambitious and believe that digital assets could be the next financial and technological revolution, please apply!
For more information regarding candidates' personal data processing, please refer to Bitget Candidate Privacy Notice.
Bitget