您將在數據驅動以客戶為中心的解決方案中扮演關鍵角色，在商業智慧、機器學習、統計分析和數據歸因分析方面的專業知識將對推動客戶的數據驅動決策過程至關重要。您也將作為一名數據說書人，從大量數據中挖掘洞見和觀點。 工作内容： 1. 依據業務需求和數據分

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

【關於 NextDrive 資料團隊】 NextDrive 資料團隊專注於資料洞察與應用，致力於發揮每一度電的最大價值。資深資料科學家將負責所有客戶的能源效率分析、建模與應用設計，不僅專注於資料分析，更懂得挖掘客戶需求，為客戶創造真正的價值！

我們正在尋找具備 LLM 經驗的資料科學家 Data Scientist，主要負責 大型語言模型開發、深度學習模型建立。目前，Data Scientist 主要專案包含了 大型語言模型開發（GraphRAG、OpenAI、TAIDE、Llama）

城市科學實驗室由城市規劃專家、數據科學家、AI工程師與開發者組成，致力於將數據與科技轉化為城市決策的智慧力量。我們快速設計、測試與迭代創新方案，從實作中學習，勇於挑戰現狀。我們解決交通、住房、環境等真實城市問題，與MIT媒體實驗室等全球頂尖機構合

1. 設計、分析、開發和原型化關鍵的深度學習/機器學習算法和解決方案 2. 與自動化和硬體團隊合作，分析硬體和軟體架構，解決關鍵問題和未來應用。 3. 利用生成模型（Diffusion, GANs, VAEs）進行數據生成。 4. 整合

會是您大展身手的地方。歡迎加入我們。 作為資料科學家，需要對新技術保有高度熱誠，能夠歸納與統整大量的資料，並從中萃取出精華，發現未察覺的新知識。我們目前有多個利用生成式與因果AI平台衍生的產品線資料科學職缺, 包含: 1.機器視覺 透過3D/

Our company is accepting applications for a contractor position as a Data Scientist. This position will be at Hsinchu Site , Taiwan. This is an exciting opportunity to join a growing team that plays a vital and dynamic role in the company. Our company is a market leader in specialty materials for electronic devices, housing construction, protective garments, and water purification. In this role, the Data Scientist will collaborate with clients within the company engaged in a variety of research & development projects. A strong candidate will have expertise in data science practices such as data cleaning, regression, machine learning, deep learning (large language model). The applicant should have fluent coding skills in Python or R with the ability to prepare data for analysis, build models, and create descriptive plots and reports, understand deep learning models (large language models). Beyond these technical skills, the job requires an organized worker who can plan a data analysis activity as a series of logical steps, effectively communicate their methods and results to clients in the business and collaborate with our data engineering and software development teams to query data and deploy models.

執行資料科學專案，包含理解商務問題、資料分析、提出並驗證解決方案，以及展示專案成果。 研讀專案領域相關文獻，以應用資料科學解決領域問題。 擔任產品核心開發者，包含發想符合客戶需求的產品解決方案，制定產品核心之技術規格與製作相關技術簡報，展示以產品功能組成之解決方案。 開發、測試、維護可複用的程式碼，確保交付品質的同時提高產品的性能。 協助商務團隊進行專案可行性評估。

1.AI 模型應用、訓練與微調，熟悉雲端/地端與LLM 操作及應用。 2.了解使用大型語言模型進行訓練和微調。包括選擇合適的數據集、設計訓練流程，以及調整模型參數以達到最佳性能。資料科學家需具備使用框架如TensorFlow來實現這些過程的能力，

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

●我們正在尋找數名資料科學家，此職位將 1. 與領域專家結合資料面將商業問題轉化為可分析的條件以及狀態 2. 進行數據蒐集、清理、保存並確保資料品質無暇 3. 對資料進行分析，以提供市場開發策略建議 4. 對市場進行系統性的宏觀分析並以資料進行相

Please submit your resume via the following link：https://mobagel.typeform.com/to/ojShbwVv Job Function -Analyze and interpret large datasets using Pandas, NumPy, and Scikit-Learn -Develop and deploy predictive models to solve complex business problems -Optimize data pipelines and ETL processes for efficiency -Collaborate with engineering teams to integrate data science solutions into production systems Your Impact -Drive data-informed decision-making across the organization -Deliver insights and predictive analytics to improve product performance -Enable smarter, faster, and more scalable business processes -Lead initiatives to innovate and enhance data science practices Qualifications -Bachelor’s degree in Data Science, Computer Science, or related field; Master’s or PhD preferred -3+ years of experience in data science and machine learning -Strong proficiency in Python, Pandas, NumPy, and Scikit-Learn -Experience with production-grade machine learning solutions Join Us At MoBagel, you’ll work on state-of-the-art AI solutions, lead impactful projects, and be part of a dynamic and fast-paced startup environment.

【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

【數據科學處】 數據科學處是台北富邦銀行數據服務的核心開發中心，中心的使命是落地科技前沿技術以服務行內業務行銷分析、客戶個人化金融場景，建立以數據驅動的商業模式。 【價值理念】 開放：自由地分享想法、觀點和經驗。 學習：不斷地學習新技術、新方法

<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

2. 機器學習與深度學習演算法開發及優化。 3. 進行資料統計分析與視覺化。 4. 協助團隊建立、優化及維護數據ETL系統。 5. 配合公司需求迅速提出解決方案。 6. 使用新穎的科技解決技術難題，同時撰寫高品質程式碼和準時交付需求。 【必要條件

收貢獻，視覺化洞察決策，強化數據文化。

**此為Adecco派遣職缺，歡迎您將履歷郵寄到Maggie.Huang@adecco.com** 【Job description】 • Collaborate with senior reliability engineers to develop and validate reliability models, including scope, schedules, and assumptions. • Participate in implementing specific validation items in reliability test plans with schedule. • Work closely with senior reliability engineer in following reliability execution progress, reviewing failure analysis, performing risk assessment and maintain detailed technical documentation. • Participate in evaluating and developing reliability test methodologies to reduce test time and increase test coverage. • Lead on statistical data analysis, modeling and risk assessment • Travel domestically to supplier sites as projects require. 【Basic Qualifications】 • Enrolled in a Master's or above degree program in electrical engineering, chemical and materials engineering, mechanical engineering or related fields • Experience in multiple hardware technology domains (e.g., Camera, battery, solar panel, ring products-related or equivalent practical experience) • Understanding of the principles and basic structures of measuring instruments such as heat soak chambers, FTIR, and SEM, etc. • Past experience or coursework with reliability knowledge, statistical knowledge and be able to use reliability and statistical method to do data analysis (e.g., Monte Carlo Analysis, Weibull++, DoE). • Strong organizational and problem-solving skills • Clear oral and written communication skills (Chinese and English)

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