Cari Lowongan

【工作內容】1.分析工廠機台生產數據併偵測問題或建置異常偵測模型。2.數據ETL、探索整併、預處理、分析、管理與建立data mart。3.執行大數據業務訪談，收集工廠單位需求。4.將廠端需求或提案轉成AI專案，提供解決方案，包括演算法開發及AI模型建置。◎依學經歷、科系、經驗相關性、特殊需求證照及專長等條件核敘個人薪資。

【你的薪資你決定，百萬Turing就是你】 專案命名 Turing Plan - 以AI之父 Alan Mathison Turing 為名，矢志尋找最頂尖的人工智慧技術菁英。本計畫共二年，保障年薪百萬，並以AI模型、相關應用系統等技術做為核心，歡迎想一展AI技術的人才來比試～ 【工作內容】 1. AI 技術概念可行性評估與驗證 2. 依照 AI 專案需求規劃實驗內容、進行方式，以符合專案需求 3. 執行 AI 專案，開發 AI 模型與相關演算法 4. AI 相關技術論文研讀並研究最新AI技術，作為技術端的技術核心指導向團隊提供諮詢與技術宣導 **本計畫另有「AI後端工程師」職位，歡迎探索更多職涯的可能性： https://www.cakeresume.com/companies/bank-sinopac/jobs/b7bed2 職缺申請Tips：履歷隨到隨審，初審通過即安排面談，截至計畫人數招滿為止。 【Turing Plan 團隊介紹】 擁有自由彈性、工作生活平衡的研發環境；大量的開放討論氛圍，可隨時互動溝通。 每週一天，可發展個人想專研的技術與創新，不僅場域像科技公司，思維也一樣開放。 －強調實驗室文化工作氛圍，注重工作生活平衡 －支持分享共好，每週一次Meeting，交流最新論文或技術 －鼓勵持續學習，每週20% 時間進行Side Project 或自我提升 －團隊內部扁平，討論風氣興盛，無階級之分 －多元辦公方案，提升時間運用彈性

【核心職責】 作為產品團隊的數據大腦，您將透過量化分析來驅動商業決策，確保每一個產品改動都有數據佐證。 商業與營運診斷：深入剖析業務流程與系統運作，主動挖掘流程中的斷點與瓶頸 (Bottlenecks)，提出具體的優化策略。實驗設計與評估：主導 A/B Testing 與各類驗證實驗，從假設設立、變數控制到成效解讀，提供精準的產品迭代建議。指標體系建置：與 PM 及工程團隊協作，定義關鍵績效指標 (KPIs) 與埋點計畫 (Data Logging)，確保數據採集的完整性與一致性。跨部門顧問：扮演數據顧問角色，協助不同部門釐清模糊的商業需求，將其轉化為可執行的分析專案，並產出具洞察力 (Actionable Insights) 的報告。

* **Data Management Integrity:** Receive, log, and convert customer product data (e.g., Bills of Materials and preferred supplier lists) into formats used by internal systems.* **Engineering Change Management:** Initiate and manage Engineering Change Orders (ECOs), updating product data across all relevant systems promptly and accurately.* **Process Improvement:** Drive continuous improvement of product data release processes and ensure the overall quality and compliance of all product data.* **Data Resolution:** Work with internal cross-functional teams (Engineering, Supply Chain, Operations) and external customers to investigate and resolve complex data integrity issues.* **Coordination Release:** Act as the focal point for all product data-related technical issues. Disseminate notifications regarding data readiness and distribute finalized data as appropriate.* **System Knowledge:** Utilize various databases and business applications (including ERP and document control systems) to perform tasks with speed and a high degree of accuracy.* **Mentorship:** Support and mentor junior Product Data Administration positions.

* Data Management Integrity: Receive, log, and convert customer product data (e.g., Bills of Materials and preferred supplier lists) into formats used by internal systems.* Engineering Change Management: Initiate and manage Engineering Change Orders (ECOs), updating product data across all relevant systems promptly and accurately.* Process Improvement: Drive continuous improvement of product data release processes and ensure the overall quality and compliance of all product data.* Data Resolution: Work with internal cross-functional teams (Engineering, Supply Chain, Operations) and external customers to investigate and resolve complex data integrity issues.* Coordination Release: Act as the focal point for all product data-related technical issues. Disseminate notifications regarding data readiness and distribute finalized data as appropriate.* System Knowledge: Utilize various databases and business applications (including ERP and document control systems) to perform tasks with speed and a high degree of accuracy.* Mentorship: Support and mentor junior Product Data Administration positions.

1. 參與雲端數據架構發展規劃，設計資料處理、儲存、分析架構，以符合數據科學、數據分析、行銷應用等發展。2. 負責地端數據轉換雲端 ETL Pipeline 開發與維護、DevOps 開發與維護。3. 負責雲端數據平台穩定及架構精進，以利數據應用發展。4. 負責雲端數據應用服務平台之監控/問題解決/維運升級。5. 數據應用相關 API 開發 。

300多萬人使用的雲端發票載具https://www.cinvoice.tw/簡單記帳APPhttps://apps.apple.com/tw/app/id1525674363英文知識王APP【工作內容】 發展道路：成為專注於分散式系統與平行運算領域的技術專家，打造巨量資料的後端架構。 設計並實現高效能的後端服務架構，處理高流量及大規模資料運算需求。開發並優化基於 MongoDB、Redis、Kafka 的系統架構。負責後端核心服務與大型分散式系統的開發與維運，支撐數據驅動的業務需求。撰寫與優化微服務，確保高效的 API 效能與穩定性。協助規劃與建置大型平行運算環境，提升系統的擴展性與處理效率。與產品、前端及數據團隊合作，實現技術需求並確保項目交付質量。

基於對業務的深入理解，搭建分析框架，通過科學有效的分析，發現機會點，回答業務的關鍵問題，產出有深度的分析洞察並拿到業務結果;能夠主導並獨立完成業務的專項分析，提供產品、業務和行業等多維度分析，為決策層、產品和運營提供決策支持；與產品、運營、風控跨團隊協作，將數據洞察轉化為具體產品策略，活動策略與風控策略，並推動落地；針對業務需求提供數據支持，歸因分析，數據解讀，看板搭建等支持工作；

Perform qualitative and quantitative validation on risk models, including machine learning modelsAssess model logic, assumptions and technical approaches, and evaluate model implementation and performancePerform data analysis and data quality check on large data sets through the use and/or development of algorithms.Manage validation process, including planning, executing project activities, monitoring milestones, and controlling quality of deliverablesPrepare validation of reports and communicate to the management, auditors, and other related stakeholdersEstablish and review policies and procedural guidelines regularly

【 What You'll be Doing 】 Develop, operate, and monitor ETL and real-time data pipelines for data collection, cleansing, processing, storage, and analyticsDesign and maintain data schemas, and perform database performance tuningDevelop backend APIs and maintain data visualization platforms for SHOPLINE merchants