產品營運及用戶策略（Product Operations & User Strategy）

Product Operations & User Strategy (Management Trainee) The role involves establishing data-driven operational frameworks, optimizing user monetization through machine learning and CRM strategies, and conducting field research to understand local user psychology and preferences. This includes a 1–3 month on-site travel assignment in Africa. About you Must hold a Hong Kong Permanent Identity Card or a valid HK work visa (e.g., IANG, TTPS, QMAS) Willingness to undertake a 1–3 month assignment in Africa Bachelor's degree or above from a top-tier university (QS Top 100 preferred) in Statistics, Computer Science, Data Science, Business Analytics, Psychology, or related disciplines Proficient in Python and SQL, Solid grasp of statistical methodologies, A/B testing, ROI attribution, and practical machine learning applications Strong business acumen, user empathy, and cross-cultural communication skills to collaborate with global teams across time zones Full professional proficiency in English and Mandarin (Cantonese is a plus) Key responsibilities Establish core business KPI frameworks and utilize machine learning algorithms (e.g., XGBoost, LightGBM) to build user churn prediction models Partner with R&D and Big Data teams to supply data-driven insights and deploy automated retention interventions for local teams Spearhead CRM and VIP Loyalty programs, enabling personalized content and product recommendations Empower Country Managers with regional monetization insights to maximize user Lifetime Value (LTV) and deposit conversion rates Conduct 1–3 months of field research in Africa to gain deep insights into local user psychology, culture, and entertainment preferences Translate quantitative data and user insights into localized features and new gameplay concepts, driving them from design to execution 職位： 產品營運及用戶策略 (管培見習生) 工作地點： 香港（包含 1-3 個月非洲市場實地派駐） 要求： 語言及簽證要求： 英語及普通話流利 （可作全職工作語言，懂廣東話更佳）；須持有 香港永久性居民身份 或 可在港合法工作的有效簽證 （如 IANG、高才通 TTPS、優才 QMAS 等）；能接受 1-3 個月非洲海外派駐 。 學歷背景： 本科或以上學歷（全球 QS 前 100 或知名高校優先），統計學、數據科學、電腦科學、商業分析、心理學或相關學科。 專業技能： 熟練掌握 Python 及 SQL，具備扎實統計學與演算法基礎，熟悉 A/B 測試、ROI 歸因及機器學習應用。 商業洞察与溝通： 具備優秀的數據敏感度、跨文化溝通能力及項目推動力，能與全球團隊高效協作。 職責範疇： 數據驅動營運與用戶留存 (Churn Management) 建立核心商業數據指標體系，運用機器學習模型（如 XGBoost、LightGBM）預測用戶流失風險。 聯同產研與大數據團隊，為在地團隊提供策略支援，自動觸發個性化留存干預方案。 智能推薦與變現提升 (LTV & Monetization) 主導 CRM 與 VIP 忠誠度項目，推動遊戲內商業化內容的「千人千面」智能分發。 透過數據賦能國家經理（Country Manager）制定區域變現策略，提升用戶生命週期價值（LTV）及充值轉化率。 用戶心理洞察與本土化創新 (User Psychology & Localization) 配合 1-3 個月非洲實地考察，深度洞察細分市場的用戶心理與娛樂習慣。 結合定量數據與定性洞察，輸出本土化新玩法/新功能需求，並推動項目落地營運。