1.負責12吋拋光機與清洗機參數調整與異常排除 2.製程與產品的品質良率的提升與監控 3.製程良率統計與數據分析 ※工作地點:竹南科學園區廠 ※上班時間:08:00~17:00 (工時: 8小時/天) ；午休：12:00~13:00 (1

【你的日常】 身為產品專員，你將成為公司與市場之間的橋樑，運用你的科學知識、溝通力和創意，讓好產品被更多人看見、被更廣的客戶使用！你的工作不只是數據和技術，而是將科學應用轉化成市場價值，讓生命科學更有影響力！ ✔ 技術支援大師：回答客戶的技

析，規劃和研究有用的見解(廣告媒體\訪客行為相關)。 2. 管理數據來源與資料。 3. 與團隊合作開發數據平台(機器學習/資料相關服務)。 職能要求： - 有廣告媒體相關背景或經歷 - 熟悉 Python、R 等數據科學工具。 - 具備 SQL

我們正在尋找一位數據科學家，負責分析複雜的數據集並開發預測模型，以推動業務決策。成功的候選人將與 AI 團隊密切合作，利用數據洞察力提升客戶體驗。 ◆工作內容： 1、分析大型數據集以提取可操作的洞察。 2、使用機器學習技術開發預測模型。 3、與

1.智慧交通相關專案系統功能、架構之規劃與執行，包含與內部團隊、委外廠商及外部客戶溝通、技術討論與簡報等。 2.執行數據應用相關架構串接規劃及實作設計，引導數據分析技術方向，涵蓋傳統技術，與機器學習/深度學習技術。 3.評估及採用適當工具與架構進

如果你對行銷和經營策略有興趣，經常關注時事，喜歡把數字轉化成各種圖表，而且自認邏輯清晰，那你很可能就是我們正在尋找的夥伴。 工作內容： 1. 研究和分析產業數據 2. 撰寫產業洞察報告 3. 使用大數據分析系統進行消費者行為分析 4. 執行客

【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2023.8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

1. 設計、開發、部署及優化機器學習模型，解決實際業務問題。 2. 使用Python、SQL或其他相關數據科學語言，撰寫高效的程式碼以處理大規模數據集並實現複雜的數據分析任務。(負責數據清洗、特徵工程以及模型評估和選擇) 3. 運用AI、機器學習

1. 設計與建立機器學習及深度學習模型，包括數據清洗、特徵工程、模型建置與參數調優 2. 應用數據挖掘、機器學習、深度學習、最佳化技術來開發推薦系統與決策支持模型 3. 設計效能指標並進行模型驗證與優化，確保模型在實際應用中的準確性與效能

1.數據分析和建模:應用統計學和機器學習算法對數據進行分析和建模，以提取有價值的見解和預測。 2.問題定義和解決:與業務部門合作，理解業務問題，並設計數據驅動的解決方案。 3.資料前處理:參與數據品質檢查，並優化數據收集流程。 4.開發和部署:預

1. 開發、管理、維護與驗證風險模型。 2. 規劃銀行業資本計提相關作業。 3. 透過數據分析與運用量化模型以協助業務推展。 4. 規劃與精進資產減損之評估方法。

軟實力。 - 使用資料科學技術剖析數據，協助產品成效優化及發展方向 - 負責資料收集、資料清理、模型建置等學習工作事項 - 數據視覺化報表產出 資料科學在現今數據爆炸的時代是非常重要的，因為他們可以透過數據分析提供各種決策支援，協助公司提高效

【研究室簡介】 本研究室專注在發展應用於材料科學與產業之AI相關技術，透過AI平台MACSiMUM (https://www.macsimum.org/)與相關數位工具導入，於線上/線下提供產業於材料設計模擬、製程數據資料、產品實驗驗證階段之AI工

<About the job>： The Data Science & AI team of headquarter IT is developing the frontier and practical analytic technologies that enhance the data value. As the data scientist, you'll join the AI/Big Data Analytics program/projects related to management topics, including Commercial/Industrial Engineering/Supply Chain/Financial Performance/Operation...etc., to build the model or algorithm to empower data-driven & analytics-driven for driving business value from data insights in this world-class company (Fortune Global 500, 22nd). <Job Description>： •Design, implement and refine advanced Statistical Modeling/Algorithm Models •Ensure alignment of modeling initiatives with the requirement goal defined by key stakeholders and company objectives and identify new hypotheses for model improvements. •Executing big data analysis and predictive analytics projects include feature engineering, model building, algorithm development, etc. •Collaborate effectively with team members, whether leading tasks or supporting initiatives led by others. •Self-motivated, Result-oriented, and interested in applying quantitative methods to solving business and engineering problems. •Able to use the cutting-edge technologies to solve the practical problems <Skills> •Experience with any one of Machine Learning, Statistical Modeling, Deep Learning, Econometric Modeling, Optimization Algorithm(OR), Numerical Simulation..., etc., model/algorithm building of the practical application in the industry. •Familiarity with programming languages like Python or R, or Java. (Good programming skills in Python is a plus). •Advanced ability to perform Exploratory Data Analysis and working knowledge of statistics. •Ability to visualize data in the most effective way possible for a given task, especially visualize models and results and debug and troubleshoot code and models. •Experience in setting up supervised & unsupervised learning models including data cleaning, data analytics, feature creation, model selection, performance metrics & visualization

1. 大數據收集與整理 2. 棒球數據分析能力和處理資料 3. 使用Rapsodo. Hit Trax. 或其他棒球運動科學儀器 4. 運用運動科學原理做棒球教學

<About the job>： The Data Science & AI team of headquarter IT is developing the frontier and practical analytic technologies that enhance the data value. As the data scientist, you'll join the AI/Big Data Analytics program/projects related to management topics, including Commercial/Industrial Engineering/Supply Chain/Financial Performance/Operation...etc., to build the model or algorithm to empower data-driven & analytics-driven for driving business value from data insights in this world-class company (Fortune Global 500, 22nd). <Job Description>： ．Design, implement and refine advanced Statistical Modeling/Machine Learning/Deep Learning/Numerical Simulation/Optimization Algorithm Models(at least one of the fields) ．Ensure alignment of modeling initiatives with the requirement goal defined by key stakeholders and company objectives and identify new hypotheses for model improvements. ．Executing big data analysis and predictive analytics projects include feature engineering, model building, algorithm development, etc. ．Works closely with a team of data system analysts, business data analysts, data engineers, data platform architects, etc. ．Collaborate effectively with team members, whether leading tasks or supporting initiatives led by others. ．Self-motivated, Result-oriented, and interested in applying quantitative methods to solving business and engineering problems. <Skills> ．Experience with any one of Machine Learning, Statistical Modeling, Deep Learning(Nature Language/Image), Econometric Modeling, Optimization Algorithm(OR), Numerical Simulation..., etc., model/algorithm building of the practical application in the industry. ．Familiarity with programming languages like Python or R, or Java. (Good programming skills in Python is a plus). ．Advanced ability to perform Exploratory Data Analysis and working knowledge of statistics. ．Ability to visualize data in the most effective way possible for a given task, especially visualize models and results and debug and troubleshoot code and models. ．Big on finding the many insights based on the data and being passionate and patient about working with complex data.

【關於我們】 我們是國泰產險的資料科學（DS）團隊，使命在於持續進化數據應用，創造並釋放數據價值。目前正在藉由數據上雲、數據治理與 AI 技術應用，推動由底層架構到業務應用的全端數據生態建構與 AI 轉型準備。 我們尋找認同以下團隊文化的夥伴：

[工作內容] 我們 台中 數據技術發展小組（Data Science & Technology）正在尋找優秀的機器學習及深度學習菁英，歡迎在資料科學領域具備廣度與深度的朋友的朋友來挑戰。這個職位將負責資料科學與人工智慧相關創新技術研究開發及概念性

資料結構，建立數據自動化處理、部署與監控機制，確保服務穩定性 2. 與數據分析師、資料科學家合作，進行機器學習、深度學習之模型自動化、模型服 務架構設計、開發與維運，協助業務團隊發揮商業價值 3. 為加速數據驅動轉型，參與相關大數據平台之架構規劃、

We are seeking a highly motivated and skilled AI Data Specialist to use OpenAI APIs to analyze financial data, such as earning call transcripts and analyst research reports. The ideal candidate will have a strong background in data analysis, proficiency in Python for data cleaning, and a passion for integrating AI tools to drive financial insights. Familiarity with economics or finance is a plus. Key Responsibilities: - Utilize OpenAI APIs to extract and analyze key information from earning call transcripts, analyst research reports, and other financial documents. - Perform data cleaning and preparation using Python to ensure high-quality datasets. - Develop and maintain models to assess company performance, industry trends, and market conditions. - Collaborate with the team to integrate AI-driven insights into our processes. - Monitor and report on market developments, financial news, and industry trends relevant to our strategies. - Continuously improve AI models and methodologies to enhance the accuracy and effectiveness of data analysis.

主要職責-開發 AI 解決方案，支援智能決策與業務數據分析。 專業技能要求-Python / TensorFlow / AI 模型訓練 / 數據分析

將數據科學成果轉化為可落地的智能服務，同時建立自動化流程、部署模型 API，並持續優化效能與監控機制，驅動 AI 產品走向商業價值落地。 【 主要職責 Job Description 】 我們正在尋找細心、有責任感，對資料與 AI 技術充滿好奇