Cake Job Search

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience using Python (Pandas, NumPy) or Java to develop data processing tools or automation scripts. Experience in managing data workflows using tools like Airflow, dbt, or Prefect. Experience in building and querying data within BigQuery, Snowflake, or Redshift environments. Experience in developing operational dashboards using Looker, Tableau, or Power BI. Preferred qualifications: Experience working with semiconductor manufacturing data or large-scale industrial datasets. Ability to manage complex data exchanges and integration workflows with external foundry or assembly partners. Ability to identify manufacturing anomalies and to explain architectures to non-technical stakeholders. About the jobA problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines. As a Machine Learning Data and Analytics Engineer, you will be the architect of manufacturing intelligence. You will design, build, and maintain the data infrastructure that transforms fragmented information from the global partners into a cohesive, high-performance data ecosystem. Your work will directly enable the operations team to monitor production health, optimize yields, and make data-driven decisions in real-time.The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are an upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.Responsibilities Design and deploy scalable pipelines to manage high-volume manufacturing data, including wafer maps, test results, and quality reports. Build automated tools to clean and normalize disparate data formats from foundry and assembly partners, ensuring a single source of truth. Create and maintain intuitive visualizations and high-impact dashboards to monitor critical KPIs and production health metrics. Develop and optimize data schemas that support high-speed ingestion and complex investigative querying for real-time decision-making. Partner with Operations and Engineering teams to translate business requirements into technical solutions while ensuring platform reliability and performance. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. Experience in technical project management, stakeholder management, professional services, solution engineering, or technical consulting. Experience in system design or reading code (e.g., Java, C++, Python). Experience in a customer-facing role working with stakeholders, driving customer technical implementations or transformation programs. Ability to communicate in English and Mandarin fluently to support client relationship management in this region. Preferred qualifications: Master's degree in Computer Science or equivalent practical experience. Experience in the online advertising industry. Experience with SQL, Linux, and cloud or distributed computing platforms like BigQuery, Hadoop, App Engine, etc. Ability to collaborate with people and multiple job functions. Ability to work separately, and manage multiple projects and solve problems. Excellent communication skills, with the ability to present technical materials to groups. About the jobgTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.In this role, you will lead in-market product commercialization, market analysis, customer product needs assessments, and day-to-day technical escalations in order to maintain the success of the customers. You will have the ability to absorb technical concepts and communicate them to technical and non-technical audiences, and interact with product management teams. You will be working with cross-functional teams to improve the products and operations. You will be familiar with online advertising and will have experience working within the industry.Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.To learn more about gTech, check out our video.Responsibilities Provide technical consulting services and guidance around Google Application Programming Interfaces (APIs) and tech platforms to help clients develop applications across ads products. Work with customers to understand underlying business tests. Manage relationships with business teams and customers, and leverage these relationships to identify and develop technical solutions that lead to more advertising business. Work across business, support and product teams to provide solutions to tests. Propose, design, create and present prototypes, demos and proofs-of-concept to audiences including engineers to marketing professionals. Leverage Google’s tech platforms and big data analytics systems to achieve the goals. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

・與產品、風控、運營團隊協作，針對業務需求定義資料模型與監控指標・建置 ETL 流程，收集與清洗來自平台的行為數據（如下注記錄、轉碼、點擊行為）・開發與維護異常偵測模型（如洗碼對打、機器人行為、套利用戶）・利用機器學習或統計模型預測玩家留存、LTV、流失風險・設計風控策略，提升平台資金與行爲風險控制能力・定期產出分析報告，提出可行的產品或營運優化建議

【關於我們 - Data Munger AI】 Data Munger 致力成為企業與實用 AI 解決方案間的最佳夥伴，從導入一路陪伴到落地。 在人人喊AI的時代下，真正為企業打造一個會持續進化的「AI 大腦」讓決策更快、流程更簡，讓人力價值最大化。 官網： https://datamunger.io/ 💼 工作職責 資料處理管道設計與開發 使用 Python 與 BigQuery SQL 為 AI 應用設計、開發及維護資料處理流程，確保機器學習模型可獲取高品質資料。ETL/ELT 工作流程構建 建立並優化 ETL/ELT 流程，確保資料自動化處理與數據一致性。RAG 系統實作 應用 RAG（檢索增強生成）技術，提升 AI 互動的準確性與上下文相關性。向量資料庫與查詢優化 優化向量資料庫（如 Pinecone、Qdrant）及 SQL/BigQuery 查詢效能，提升 AI 搜尋與回應速度。API 建構與維護 使用 Python 框架（FastAPI、Flask）建立並維護資料處理與 AI 服務 API。機器學習模型與資料管道部署 在雲端基礎架構（主要以 GCP 為主，並整合部分 AWS）上部署 ML 模型與資料管道，實踐 MLOps 原則以確保部署具備可重現性、擴展性及監控能力。跨部門協作與技術創新 與資料科學家、AI 研究人員及前端團隊協作，共同打造端對端 AI 產品，並持續導入最新技術以優化解決方案。

產業類別： 儲配/運輸物流 職責要求 1.規劃企業資料架構藍圖（Data Architecture Blueprint） 2.設計資料模型、資料流（Data Flow）、資料倉儲（DWH）、資料湖（Data Lake）等整體架構 3.定義資料標準（Data Standard）、資料字典、資料治理策略 4.建立高效的資料平台與治理機制 5.規劃與導入 Metadata、Data Lineage、 Master Data Management 6.管控資料品質（DQ）、一致性與安全權限 7.跨部門溝通與需求分析，與產品、工程、數據科學、業務單位合作，轉化需求為技術規格 8.協助制定資料相關的 SLA、成本控制與最佳實務 9.導入雲端資料架構與最佳化 10.熟悉 AWS / Azure / GCP 等雲端平台 11.導入 Lakehouse、Streaming、ETL/ELT Pipeline 方案 12.技術導入與架構決策 13.評估並導入資料平台工具（Snowflake、BigQuery、Redshift、Databricks…） 14.針對資料量成長制定可擴展架構策略

【關於PropTech數位人才招募計劃】 信義企業集團的各項產品與計畫正融入大數據、機器學習與人工智慧等應用，我們的數位團隊具有豐沛的研發能量，截至目前為止，已累積有40多件發明專利與20件設計專利，大幅領先於房仲相關產業者；並持續致力於「房地產科技創新」與「數位居住生活」兩大面向，以創新智能工具，為使用者提供超乎想像的服務體驗。 我們希望讓居住在這片土地上的人們，在「不動產交易買賣」與「居住生活日常」有更好的保障與體驗，也期待你與我們一起，加速這個改變。 這裡匯聚了40年的集團產業資源，以及多元化的人才；接下來，想邀請你加入，與我們一起創造超乎想像的體驗，成就即將到來的未來！ 【職務簡介】 1.規劃與建置企業級數據平台架構（Azure Data Platform：Databricks、Data Factory、Fabric、Power BI），確保系統穩定性、擴展性與長期可持續發展。 2.設計並優化 AI 與 Data Services（Function App、SQL MI、API、Batch 等），支援 AI 模型部署、應用服務化與業務落地。 3.規劃跨雲數據與 AI 服務整合（Azure、GCP/Vertex AI、BigQuery ML），確保跨平台數據流通與應用效能。 4.建立並推動公司數據與 AI 架構標準，包含數據治理、安全合規、效能優化與成本控管。 5.設計高效率的 ETL / ELT 資料處理流程，確保數據整合的正確性、即時性與最佳化。

公司介紹 這是一家深耕台灣市場、具高度用戶滲透率的 FinTech 科技公司，長期處於高流量、高交易頻率的業務場景。產品服務已融入日常生活與金融行為，資料規模與複雜度持續成長。 目前公司正進入 數據基礎建設與治理升級的關鍵階段，高層明確將「數據驅動決策」視為下一階段成長核心，並投入資源打造更穩定、可擴展的資料平台，讓數據真正成為產品與營運的決策引擎。 這個角色將站在 公司級數據戰略中心，不只是管理團隊，而是實際參與並影響整體商業方向。 工作內容 帶領資料應用部門（資料工程、資料分析、BI / Data Science 團隊），管理約 5–10 位成員 規劃並推動 公司級 Data Platform（Data Lake / DWH / ETL / Streaming） 與工程與系統架構團隊協作，確保資料系統的 穩定性、可用性與擴展性 審視並優化資料流、事件系統、Schema 與整體資料架構設計 建立 資料治理、品質控管、權限與統計口徑制度 建構指標、Dashboard 與分析框架，支援 產品、營運、行銷與管理決策 推動 A/B Test、數據實驗與行為分析，讓決策有數據依據 作為跨部門橋樑，協調技術與商業需求，推動策略落地 使用的技術 Data Platform：Data Lake、Data Warehouse、ETL / ELT、Streaming Big Data / Pipeline：Spark、Kafka、Airflow Data Ops：Pipeline 監控、版本控管、CI/CD Cloud / Hybrid：BigQuery、Snowflake（地端為主、雲端為輔） BI / Analytics：指標設計、Dashboard、實驗分析

🏢 公司介紹 我們的客戶是台灣最具規模與影響力的零售集團龍頭，積極拓展多元化的電商平台生態系。作為台灣零售業的標竿企業，該公司持續引領產業創新，近年積極推動全面數位轉型，整合線上線下（O2O）資源，打造台灣最大規模的全通路零售平台。 為什麼加入我們？ 產業領導地位：台灣零售業龍頭，擁有穩健發展基礎與龐大數據資產 數位轉型先鋒：目前正全力投入集團電商整合與數位化升級，是參與零售科技革命的絕佳時機 絕佳職涯發展：在數位經濟時代，您的專業能力將直接對數百萬消費者與企業營收產生顯著影響 💼 工作內容 作為資深數據科學家，您將在集團客戶數據平台(CDP)團隊擔任核心角色，負責整合、分析並應用來自集團旗下多個電商平台與實體門市的海量消費者數據，打造AI驅動的個人化體驗，提升客戶忠誠度與營收。 核心職責： CDP與數據策略規劃 設計前瞻性的CDP資料模型，無縫整合來自網站、APP、社群與實體門市等多元數據源 建立驅動行銷自動化的數據架構，連結消費者全旅程體驗 定義關鍵績效指標(KPI)與目標(OKR)，運用因果推斷建立用戶生命週期策略 確保跨平台數據一致性與品質，支援集團決策 AI模型與演算法開發 開發基於Transformer架構或圖神經網絡(GNN)的先進推薦系統 建立用戶分群、流失預測、終身價值(LTV)評估等關鍵模型 使用LightGBM、PyTorch等工具持續迭代優化模型效能與準確度 透過MLflow追蹤實驗結果，確保模型可擴展與可重現性 實驗設計與業務優化 規劃A/B測試或多臂老虎機(MAB)實驗，科學驗證行銷策略與產品功能有效性 深入分析實驗結果，持續迭代數據模型與演算法 以數據驅動方式提升用戶留存率、轉換率與整體營收 技術領導與跨部門協作 與工程團隊合作，透過Kubeflow優化MLOps流程，實現模型部署自動化 與行銷、產品、業務團隊密切協作，推動數據驅動的創新專案 向高階管理層展示AI演算法對業務的量化影響，有效推動決策 確保資料模型符合GDPR等國際隱私標準，強化數據安全與用戶隱私保護 💻 使用技術 您將有機會使用和精進以下尖端技術： 程式語言：Python、Java、Scala 大數據處理：Apache Spark、Apache Kafka、Airflow 數據存儲：Snowflake、Delta Lake、BigQuery 機器學習：PyTorch、LightGBM、Transformer架構、圖神經網絡(GNN) MLOps：MLflow、Kubeflow、Docker、Kubernetes 雲端服務：AWS、GCP、Azure CDP工具：企業級客戶數據平台架構與整合工具

我們正在尋找一位具備數據分析與自動化能力的營運專家，負責建立並優化平台營運流程，提升效率和用戶轉換率。您將透過數據分析、流程自動化與跨部門協作，確保平台的流暢運作，並推動業務成長。 工作內容 用戶成長執行與數據觀察：運用 Mixpanel 和 BigQuery 分析用戶行為，將數據洞察轉化為可執行的營運方案，涵蓋從方案規劃、資源分配到執行監控的全流程。分析並優化用戶轉換漏斗及旅程，透過 A/B 測試提升轉換率和用戶滿意度。監控關鍵指標（KPI），提供數據驅動的營運策略與改進建議。營運流程自動化：使用 n8n 或類似工具，設計並管理自動化工作流程，建立自動化用戶旅程、簡化重複性任務。串接內部系統（如：站內訊息發送工具、E-mail 發送工具、BigQuery 等等），提升整體營運效率。平台管理與協作：負責平台日常營運，確保用戶體驗順暢並符合業務目標。與產品、技術團隊緊密合作，共同推動功能優化。

《關於我們》 我們是一家深耕台灣多年的亞洲零售集團，積極拓展國際市場版圖。近年啟動全通路數位轉型，導入雲端與AI技術，致力於打造一個結合文化、生活與科技的創新平台。 集團旗下涵蓋實體通路與電商平台，在品牌經營與客戶體驗方面持續創新。我們正尋找具有技術熱情與數據洞察力的夥伴，一同推進智慧決策與數位服務的升級！ 《工作內容》 你將負責： 建立與維護 Looker 資料模型與報表（使用 LookML 設計資料邏輯與視圖） 建構 BigQuery + Composer + Dataform 的自動化資料處理流程，優化查詢效能與資料品質 探索 AI 工具於數據分析中的應用，如輔助報表撰寫與查詢自動化 與內部各部門協作，協助導入資料驅動決策流程 《使用技術》 必備：SQL、LookML、BigQuery、Composer、Dataform 加分：Python、GCP/AWS