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如果你還會金融業抱持本土金融保守的想法，是時候該改變對金融業的看法了! 有種企圖想要把新創的氛圍帶入金融業，透過技術與數據說話。恭喜您! 與您抱持同樣想法，國內外名校，想法開放的

Handshakes by DC Frontiers is an award-winning DataTech company that leverages data to empower safe, informed business decisions. We are located in 7 cities and are expanding our presence across the globe. We are hiring an experienced Data Engineer to be based in our Singapore office. The Data Engineer will be part of our Data and AI team that is involved in building innovative products on cutting-edge technologies to solve business problems. As a

We are looking for a highly knowledgeable and enthusiastic machine learning engineer to help solve complex problems across a variety of audio processing projects. You will be both creating new solutions and evaluating existing machine learning (ML) processes, as well as performing statistical analysis to create and analyse large data sets. To ensure success as a machine learning engineer, you should be able to demonstrate solid data science knowledge and experience in a related ML role, as well

【企業簡介】 希望人人一看見我們的logo，都會發出一聲「阿！」 為了提供讓世界驚豔的服務，我們致力於開發能夠帶來感動的技術，並創造出更便利且安全的社會。 發揮科技力量的最大極限、兼具先進技

1. 行銷議題分析與行銷解決方案之建議，提供行銷數據分析報告 2. 數據分析、挖掘、建模、模式評估等相關工作，並進行模型評估 3. 與使用者及開發人員合作，定義 Report 及 Business Intelligence 需求及規格，參與

【邀請您將履歷同步上傳至華邦官方網站，將使您的履歷優先被主管看見】 此職缺履歷登錄網址: 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

- Develop data records management processes and policies - Identify areas to increase efficiency and automation of processes - Set up and maintain automated data processes - Identify, evaluate and implement external services and tools to support data validation and cleansing - Produce and track key performance indicators of all digital channels (paid, owned, earned media) - Creating dashboards, data visualizations, and campaign and website performance reports. - Monitor and audit data quality -

1.AWS S3資料的維護與管控 2.資料傳輸給annotator執行標記任務 3.資料清理過濾 4.撰寫Python script以簡化資料相關前處理流程

1.維護既有數據流及模型API 2.規劃數據架構及技術發展藍圖，訂定數據工程與分析的技術及作業流程 3.規劃及實作大數據資料流程設計及導入系統、軟體、數據分析與維運自動化的各

分析使用者行為,及訂單資料,作出視覺化的分析及報表 數據分析、挖掘、建模、模式評估等相關工作，並進行模型評估 資料視覺化設計 熟悉預測方法、發展推薦演算法、個人化演算法