職位介紹
職責描述：
關鍵任務MISSION
• 根據相關業務和生產過程的需求，挖掘數據的相關價值，並開發相應的模型, 算法和軟件系統。利用開發的系統，對當前業務流程進行優化, 或增強現場生產過程的控制 (ex:提高設備綜合效率OEE，降低生產報廢和額外消耗…)
• According to the needs of relevant business and production process, to mine the relevant value of data, to develop relevant modeling, algorithms, and software system. By using the developed system, to optimize the current working flow, or increase the production/process control in the factory shop floor, (ex: increase the equipment OEE; reduce the production scrap and additional usage…)
主要責任 MAIN RESPONSIBILITIES
• 根據對相關業務或過程控制的理解，在對應領域的專家支持下，進行問題建模，分析對應的變量和需要的數據
• 配合對應工程師從業務或設備底層收集，清理和存儲「需求數據」
• 根據最終業務目標，在相關領域專家的配合下，對數據進行分析和挖掘，並建立相應數學模型，開發相關算法並利用k8凯发国际語言進行編程，最終形成應用系統。針對生產過程的控制問題，還需要和自動化工程師配合，將開發的系統和PLC對接，實現對現場生產過程的監控和控制
• 在實際生產現場進行POC測試，驗證和評估相應的模型，優化算法，將相關方案完善成可以投入生產應用的系統（比如：某個預測性維修系統，預測性質量控制系統…）
• 協助所開發系統的部署，跟蹤系統在實際生產中的表現，並準備後續的升級優化
• 參與公司數據架構和相關係統的搭建，為數據架構工程師提供後續數據挖掘業務的技術要求
• 對工廠提供數據庫維護，查詢及簡單開發的相關技術支持和指導。對工廠的數碼化製造工程師提供《數據庫知識》，以及初級的《數據挖掘工具》的培訓
• 參加總部的數據挖掘技術討論，和歐洲，北美的數據挖掘工程師定期進行相關技術交流。參與某些全球數據挖掘項目的開發
• 100% 執行LOTO （Lock Out / Tag Out）
• 緊急情況下員工被授權可以按設備急停按鈕，中斷生產
• Based on the understanding of relevant business or process control, with the support of experts in the relevant field, to conduct problem modeling, and analyze the corresponding variables and required data
• Cooperate with corresponding engineers to collect, clean and store the 「 Required DATA」 from the business or equipment
• According to the final business objectives, with the support of experts in the relevant field, to analyze and mine the data, establish corresponding mathematical models, develop relevant algorithms and use computer language to program, and finally form an application system. For the production process control case, it is also necessary to cooperate with the automation engineer to connect the developed system with PLC, to realize the monitoring and production process control
• Carry out the POC test in real production site, to verify and evaluate the corresponding model, optimize the algorithm, and finalize the relevant system which can be put into mass production application (such as a predictive maintenance system, predictive quality control system...)
• Assist the deployment of the developed system, track the performance of the system in real production, and prepare for the subsequent upgrade and optimization
• Participate in the construction of the company's data architecture and related systems, and provide data architecture engineers with technical requirements for subsequent data mining business
• Provide technical support and guidance for database maintenance, query and simple development in the plant. Provide database knowledge and primary data mining tools training for digital manufacturing engineers in factories
• Participate in the ＜ Data Mining＞ technical discussion of the headquarters, also the regular technical exchanges with data mining engineers in Europe and North America. To participate in the development of some global data mining projects
• 100% LOTO (lock out / tag out)
• In case of emergency, the employee is authorized to press the emergency stop button of the equipment to interrupt the production，
任職要求：
勝任力Competency
新技術好奇心，學習能力，從網絡等途徑獲取新知識的能力
New technology curiosity, learning ability, ability to acquire new knowledge from the Internet and other ways
教育/專業
Education/Major
大學本科以上學歷, 專業：數據科學與大數據技術；應用統計學；高級計算和軟件工程
知識/技能
Technical knowledge/ Skills
1. 較強的統計學理論知識和實踐經驗
Strong theoretical knowledge and practical experience in Statistics
2. 較強的數學建模及相關實踐經驗
Strong mathematical modeling and relevant practical experience
3. 掌握數據挖掘理論知識，熟悉相關的算法，比方說：樸素貝葉斯；邏輯回歸；支持向量機；隨機森林；K-Means, DBScan…
Master the theoretical knowledge of data mining, and be familiar with relevant algorithms, such as（Naïve-Bayesian; Logical Regression; Support Vector Machine; Random Forests;K-Means, DBScan..）
4. 掌握一些機器學習和數據挖掘相關的實用工具,比如： Rapid miner; SkLearn, Pandas; numpy …
Master some machine learning and data mining related tools, such as: rapid miner; SKlearn, Pandas; Numpy
5. 熟練掌握相關的k8凯发国际編程能力：比方說Python; JAVA; C++; HTML#5…
Master programming ability by using language: for example; Python; JAVA; C++; HTML#5…
6. 熟練掌握相關數據庫知識，比如關係型數據庫，ex: MySQL, 時序數據庫Ex: InfluxDB, 非關係型數據庫 NoSQL, ex: MongoDB…
Master Database technology and management system, such as (Relational database, ex: MySQL…); （Time-Series Database, Ex: InfluxDB… ）; ( NoSQL, ex: MongoDB…)
7. 基本的工業以太網，和工業物聯網相關知識, 從現場設備的PLC和智能傳感器等收集底層過程/設備數據，並能對數據進行清理，傳輸，存儲,
Basic IT network, Industrial Ethernet, IIOT(Industrial Internet Of Thing). Collect the process / equipment data from the PLC /intelligent sensor… and clean, transmit, store the data
1. 本科或研究生畢業，在校有參與《大數據挖掘》的相關項目經驗
Graduated from Bachelor or Master degree, with relevant project experience in big data mining
2. 或者至少1年以上在企業從事數據挖掘或機器學習工作經驗
Or Minimum 1 years』 experience for Data Mining / Machine Learning
英語 (說，聽，讀，寫流利)
English: speaking, listening, reading and writing: fluent
• 思維導圖/潛在失效模式及後果分析
• 簡單的PLC編程能力和自動化控制
• 塑料材料吹塑，焊接過程控制，及相關設備工作原理；
• 良好的解決問題能力；
• 跨部門和跨過程的溝通和合作能力
• The Mind Map / FMEA ability
• Simple PLC programing or automatism control
• Plastic material blow molding, welding process control; related machines working principles
• Good Problem Solving skills.
• Cross-function/ cross-process communication and cooperation ability
Bachelor or Master degree，Major in Data Science and Big Data Technology; Applied Statistics; Advanced Computing ; Software engineering…