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●負責數據&AI分析平台設計規劃/開發建置 ●負責數據流程(pipeline)開發設計。 ●負責數據分析支援協作 ●具備實驗設計能力推動Data Driven Decision文化

Are you a creative IT professional with strong technical aptitude who embraces changes and is passionate about data and information? We invite you to join our highly innovative data engineering team which is constantly designing, developing, and delivering high quality solutions for our customers. As a data engineer, you will have opportunities to work in a dynamic and fast-paced environment to collaborate with business functions to design solutions. You will translate business requirements into

TVBS開發團隊對於軟體的品質有最高的要求。 我們致力於以穩定的開發速率，持續地交付有價值的軟體來滿足客戶需求，並以全局為考量穩定改善團隊及消除多餘的浪費。我們深信最佳的架構與

Core Responsibilities: • Development: Build, maintain, and optimize data pipelines and databases. Ensure data quality and efficiency. 開發：建立、維護及優化資料管道和資料庫。確保資料品質和效率。 • Maintenance: Monitor data systems, perform backups, and keep databases up-to-date and secure. 維護：監控資料系統，進行資料備份，保持資料庫更新

【熱血團隊】 域動Data Team是由一群對『數據分析』及『AI應用』具有研究及開發熱誠的成員所組成。在這裡你可以接觸到大量即時的使用者行為資料，並將資料科學模型應用於: 『網路廣告投放優化』 『網路用

GLSoft 相信科技能夠創造更好的世界，我們正在尋找與我們有相同信念的夥伴加入我們的行列。 【 職務內容 】 1. 依據不同專案，與小組成員合作開發和維護客戶的長期專案需求 2. 根據產品需求文

【工作內容】 與產品團隊和前後端工程團隊合作，確保資料品質與產出 創建與維護Data Infrastructure Data Pipeline & ETL/ELT Data Product開發與維護

工作職責： 負責推薦系統和廣告變現相關的數據支持，包括但不限於數據報表平台、數據分析平台等 負責數據的自動化分析處理工作，對巨量數據進行挖掘，產出數據分布規律、變化趨勢、關聯關系

歷登錄網址: Link [Summary] Winbond is building a data intelligence team to increase productivity, data capability, and business impact. This team is in charge of enterprise data platform, AI and BI solutions to empower not only business operation but also strategic decisions. We are looking for Data Engineer/Analyst to join this new and world-class data intelligence team. You'll collaborate with other Data Scientists, Data Engineers, and various domain-subject ex

Get data from both internal and external sources via API or crawlers. Perform data analysis to help marketing/business teams to answer business/operational questions. Build and optimize models for business decision making. Interpret trends or patterns from complex data sets by using statistical and visualization tools. Conduct data analysis reports to illustrate/visualize the results and insight. Build analytics tools that utilize the data pipeline to provide insights to customer needs