1.協助工單製作、領料、入庫及進度追蹤 2.ERP資料輸入及表單管理 3.物料請購、收料、庫存管理及運送安排 4.協助出貨檢驗及包裝作業 5.主管交辦事項
1.協助工單製作、領料、入庫及進度追蹤 2.ERP資料輸入及表單管理 3.物料請購、收料、庫存管理及運送安排 4.協助出貨檢驗及包裝作業 5.主管交辦事項
1. 協助生產作業流程。 2. 維持產線正常運轉並跟催生產進度。 3. 安排出貨管理及統計。 4. 檔案整理，資料記錄。 5. 整理分析生產記錄報告，並對進度加以催查及管制。
1. 業務端需求訪談、資訊蒐集 2. 資料初步探勘、分析企劃 3. 針對資料進行資料處理、統計分析、前瞻模型預測 4. 資料視覺化儀表板開發 5. 協助分析儀表板與平台分析功能上線測試 6. 資料分析及簡報製作
【What a Data Scientist does in Titansoft？】 1. Apply statistical and machine learning techniques to build models for user classification, fraud detection and other objectives 2. Mine, analyze and visualize data from company databases to drive optimization and improve product development, marketing techniques and business strategies 3. Identify, understand and solve business problems based on the company's overall targets. 3. Coordinate with different feature teams to implement models and design proper performance evaluation metrics
*** If you're interested in this position, please submit your English resume to [email protected] *** 【About Us】 SHL Medical is the world-leading solution provider in the design, development, and manufacturing of advanced drug delivery systems with more than 5000 employees worldwide. Our customers include top pharmaceutical and biotech companies from around the globe that require innovative devices such as auto injectors or pen injectors to effectively deliver their drugs. Headquartered in Switzerland since late 2018, with sites in Sweden, Taiwan, and the Unites States. 【Job Overview】 SHL Medical is seeking an experienced data scientist to join their Data Science department. For 30 years, SHL Medical has been a global leader in the production of autoinjectors supporting many large pharmaceutical companies worldwide. SHL Medical has created their Data Science team with the goal of providing global support in data science, analytics and big data across the whole organization. The team is a key driver for the transition to a data- and science-driven company. This position, the data scientist can expect to work closely with experts from various domains to solve critical business and engineering problems in high impact projects that effect the entire organization. The candidate should be comfortable leading teams and working with a wide range of stakeholders to drive the digital transformation and develop new digital services and products. The right candidate will have a passion for analyzing data in large data bases or obtained by experiments by applying the scientific method to gain new insights or discover hidden solutions. 【Main Responsibilities】 ● Lead, coach, and mentor other data scientists. ● Drive data science projects and initiatives. ● Guide (internal/external) customers through the project intake process, identify their business needs, and select the appropriate data science solution/technology. ● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive improvement and innovation. ● Cooperate with our Data Architect, Data Engineers, and IT to provide the required data for the scientists. ● Coordinate with different functional teams to implement solutions and monitor outcomes. ● Assess the effectiveness and efficiency of data and models. ● Continuously improve the data science infrastructure, processes, and tools. 【Required Skills & Qualifications】 ● Bachelor’s degree in relevant STEM field and 5+ years of experience as data scientist. ● Strong analytical and problem-solving skills. ● Good project management and leadership skills. ● Ability to mentor and coach other data scientists. ● A drive for continues improvement. ● Excellent written and verbal communication skills in English for coordinating and reporting across teams. ● Ability to explain data science processes, methods, and tools to people from other domains. ● A broad Knowledge of available technologies, solutions, their applications, and limitations. ● Experience using statistical computer languages (Python, SQL, R, etc.) to manipulate data and draw insights from large data sets. ● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. ● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. ● Experience with the following packages/frameworks: Sci-Kit, Numpy, Pandas, TensorFlow or Pytorch. ● Experience with MS Azure, SAP Analytics Cloud, SAP Datasphere is a plus. ● Understanding of product development, production or quality control processes is a plus.
【職務描述】 1. 統籌集團(財務/營運/管理...etc) 所有計量指標規劃、函數的演算及機器學習。 2. 收集數據，對其進行清理和預測處理，以確保數據質量。 3. 使用統計方法、線性代數、分析數學...etc，建立預測模型或提取信息。 4. 將數據轉換為視覺化形式，透過圖表，向非技術人員解釋結果。 1. Coordinate the planning, algorithms, and machine learning of all metrics for the group (finance/operations/management, etc). 2. Collect data, clean, and process it for predictive analysis to ensure data quality. 3. Use statistical methods, linear algebra, and mathematical analysis to build predictive models or extract information. 4. Transform data into visual representations and explain results to non-technical personnel using graphs and charts. 【人格特質】 1. 善於溝通的 : 與部門主管以及跨部門合作，給予同仁激勵與熱情。 2. 有責任感的 : 能夠認知和認同自己的責任，並將之付諸實行的行動和決心。 3. 具抗壓性的 : 積極面對工作上的各種挑戰，樂於與公司一同成長。 4. 獨立思考的 : 在資訊快速的狀態擁有自己獨立思考及判斷事物的能力。 5. 正直樂觀的 : 可以塑造良好且正向的公司文化，一同建立永續團隊。 1. Communication : Provide encouragement and enthusiasm to colleagues for department heads and cross-departmental cooperation. 2. Responsible : Actions and determinations to recognize and identify with one's own responsibilities and put them into practice. 3. Compressive : Actively face various challenges at work, willing to grow together with the company. 4. Independent thinking : In the state of fast information, have the ability to think and judge things independently. 5. Upright & optimistic : Can create a good and positive company culture and build a sustainable team together.
與模型預測環節。 - 協助國際期刊或研討會之論文撰寫。 - 設計與開發可即時更新的視覺化儀表板。 資料科學家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，協助公司提高效率、創造商機，同時也能發揮專業技能，推動自身發展
- 利用資料科學技術洞察客戶行為數據 - 執行需求訪談、資料收集、資料清理 、模型建置、資料視覺化等任務 - 機器學習/深度學習演算法開發應用 條件: - 良好的溝通與表達能力 - 善資料視覺化 - 熟SQL、Python - 熟悉機器學習方
Concept)方案驗證。 4.與數據工程師合作，整合運用先進資訊技術/認知運算技術/物聯網技術，建立企業AI下水道工程，收集散佈於相關資訊系統/人員/設備的各類型大數據。 5.與平台工程師合作，將端對端資料分析流程與服務布建於分散式運算工業互聯網平台，
.透過數據進行企業經營與業務問題分析，提出有效之解決方案 2.負責各專案之推動管理，執行跨部室合作，共同達成目標 3.利用資料科學協助業務推動及提升作業效率，創造商業價值 【專案執行細節】 過去早期都是以excel線上表單為主，在累積半年以上資料
1.開發深度學習/機器學習模型，或運用大型語言模型(LLM)、自然語言處理(NLP)等工具，協助優化公司內現有工作流程，提升作業效率和品質。 2.跨單位合作，依據使用者提出之應用場景和業務痛點，規劃AI解決方案或定義分析命題，藉由生成式AI/深度學習/機器學習/統計分析等方法解決商業問題。 3.協助MLOps工具之導入規劃、評估、測試、上線...等任務。 4.研究如何將AI/深度學習/機器學習等技術應用於公司各式業務場景，以達成推展業務、找出潛在商機、降低風險或成本、提升服務品質等目標。
Position Impact: As a Senior Data Scientist at Gogoro, you are responsible for data-driven projects/ analysis in the DataOfice. All works to be conducted are related to eficiency enhancement and AI product development, e.g. customer behavior predictions, battery management and charging station deployment. The results will have significantly impact our business strategy, operation optimization and services. You are required to be familiar with statistics, machine-learning/ deep-learning development and data interpretation. In addition, you are expected to have experiences in model deployment (collaborating with data scientists and engineers). In the long term, we are expecting you’d be able to provide undiscovered insights and lead your own innovated projects. Role & Responsibility: In close collaboration with the team, this position can cover: • Optimize/ develop the ML/ DL models of customer products/ services. • Optimize/ develop the ML/ DL models to enhance eficiency for charging stations and batteries. • Deliver data-driven analysis for business strategy and operation services. • Collaborate with data engineers to deploy model pipeline. • For the long term, any new innovative projects or features are expected to be created. Requirements: To fit the positions’s capability, we are expecting you to have: • Motivation and passion in creating inspirational feature/ model for business from data; • At least master degree of analytics/ statistics/ computation related education (Ph.D is plus); • At least 3 year of industrial working experiences; • Experience AI product/ service design; • Experience AI researches/ side-projects; • Good in math and statistics; • Good in ML/ DL model building; • Programing skill : Python, other AI languages/ packages; • Experience in Linux and Git; • Good English communication and documentation (optional); • Personal Git repository, website or blog would be a good reference (optional).
挖掘、建模、模式評估等相關工作，並進行模型評估 2. 資料視覺化設計 3. 熟悉預測方法、發展推薦演算法、個人化演算法 4. 爬蟲程式開發，並進行文字探勘
1. Conduct data science projects to help clients drive solutions and solve business problems from various domains using a wide range of data science techniques, including but not limited to Machine learning, data visualization, statistics, and so on. 2. Design, develop and maintain scalable automated machine learning and data science pipelines and applications to empower users to extract valuable results. 3. Build new and enhance existing tools to strengthen the internal toolbox of the Data Science Team. 4. Carry out research on cutting-edge data science techniques, approaches, tools, and application scenarios. 5. Work closely with diverse roles such as data scientists, project managers, product managers, data engineers, web developers, designers to name just a few to scale MoBagel’s products.
器學習或深度學習的相關參考資料或作品集 - 熟 GCP雲端平台、Tag Engine、Retail Search - 有實際參與過 NLP、語意分析、搜尋引擎或推薦系統專案者優先考慮
●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
導入行內數據服務平台，將服務產品化。 3.建立全行各產品營銷適用的推薦模型。 Data Team正在尋找積極主動的資料科學家，職務內容包括： 1.與團隊合作共同設計、實作與部屬產品MVP。 2.與團隊合作共同設計高效率、可擴展與可自動提交的機器學
分析多元資料集、提取可用的數據洞察以及開發創新解決方案。與市場行銷、內容製作和技術等跨職能團隊密切合作。 • 運用分析工具及方法，分析成效並洞察經營機會。 • 利用包含內部以及外部(如Facebook Insights、YouTube