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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

*** If you're interested in this position, please email your English resume to HR Janet. ([email protected]) *** 【About Us】 SHL Medical is the world-leading solution provider in the design, development, and manufacturing of advanced drug delivery systems with more than 5000 employees worldwide. Our customers include top pharmaceutical and biotech companies from around the globe that require innovative devices such as auto injectors or pen injectors to effectively deliver their

●MS-SQL資料庫規劃、建置、維護、管理、故障排除。 ●規劃、執行資料庫資料備份/備援/回復計畫，並定期進行演練。 ●監控日常資料庫效能，進行效能調校。 ●配合系統專案需求，與開發團隊溝通，進行資料

【職務內容】 1. 負責 Mysql, MongoDB, Redis 架設、管理、權限控管、維護和架構規劃 ( Replication, Cluster )。 2. 數據庫&SQL效能、容量監控及參數調校，故障與突發異常狀況排除。 3. 設計資料庫備份、高可用及災難復原計劃。 4. Linux 基

1.依相關管理辦法、作業程序書，獨立進行日常維運、監控及基本故障排除 2.負責單項資料庫管理 3.協助新系統建置或現有系統導入時進行資料庫評估作業 4.參與專案及基礎架構調

我們正在尋找資料數據專員，Wota Lifestyle 全球合作超過 60 個國際酒店品牌，會員只要透過我們的奢華酒店預訂平台，即可享有全球超過 4000 間酒店特殊禮遇，這個工作需要你來優化平台的後端酒店數據

【What a Data Scientist does in Titansoft？】 1. Apply statistical and machine learning techniques to build models for user classification, fraud detection and other objectives 2. Mine, analyze and visualize data from company databases to drive optimization and improve product development, marketing techniques and business strategies 3. Identify, understand and solve business problems based on the company's overall targets. 4. Coordinate with different feature teams to implement models and design p

【工作職責】 1.負責資料庫管理、權限控管、維護和架構規劃。 2.資料庫設計和SQL語法審核及優化調校等作業。 3.資料庫效能監控及參數調校，故障與突發異常狀況排除。 4.資料庫備份、備援

入我們，一起創造更多旅遊的可能性與未來。 【你將會參與的事】 1. 與 KKday 其他團隊合作，設計、開發 dbt (data build tool) code，支持各項業務需求，為公司的業務發展提供資料，設計和建立資料分析報告和資料儀表

The Role: We are seeking an exceptionally talented data scientist with strong modeling and programming skills to join our team. In this role, you will work closely with data science team and technologists across the firm to develop appropriate features and metrics for data processing. Perform analysis and generate models of financial datasets using machine learning techniques Process, clean and verify the integrity of unstructured data and turn data into valuable insights Develop and create data