轉職熱搜工作

1.高年級課輔： 指導學童作業，協助輔導加強課業，做課業的複習 2.國中數學科教學 3.國中數理科輔導工作 4.國小數學科教學及輔導. 5基本環境打掃，家庭聯絡 上班時間： 週一 15:00-21:30 週二 15:00-21:30 週三 12:20-21:30 週四 15:00-21:30 週五 12:20-21:30 週六 上午9:00-12:00

工作內容 1. 針對消費者行為，深入分析目標客群的RFM模型，跨品類交叉購買情況，並發現人群運營機會 2. 協助品牌進行數位行銷/數位廣告成效分析，提供指導策略以實現更精準的廣告投放 3. 與廣告部門和行銷部門密切合作，將分析結果轉化為實際行動計劃，同時持續追蹤和評估成效 能力與特質 1. 出色的PPT和EXCEL技能，能夠以清晰的方式展示和呈現分析結果 2. 具備SQL資料庫查詢能力 3. 對電子商務/數位行銷/數位廣告具有一定了解為佳 4. 具有FineBI/PowerBI/Tableau等相關工具的經驗者為佳

＜About the Job＞ As an Optimization Data Scientist, you will play a key role in driving Optimization and Operations Research initiatives across critical business functions, including supply chain, production planning and scheduling, capacity allocation, inventory and logistics, industrial engineering, and financial performance. Leveraging advanced mathematical modeling and algorithm design, you will transform complex data into actionable insights, enabling smarter decisions and unlocking optimization-driven business value. ＜Job Responsibilities＞ ．Design, implement and refine advanced Mathematical Programming / Operations Research / Meta-heuristics / Numerical Simulation / Optimization Algorithm Models (at least one of the fields). ．Ensure alignment of optimization initiatives with the requirement goal defined by key stakeholders and company objectives and identify new formulations or decomposition strategies for model improvements. ．Executing large-scale optimization projects, including problem formulation, constraint engineering, model building, algorithm development, solver tuning, and deployment, etc. ．Works closely with a team of project manager, data scientist, business data analyst, data engineer, supply chain / IE / PMC domain expert, etc. ．Collaborate effectively with team members, whether leading tasks or supporting initiatives led by others. ．Self-motivated, Result-oriented, and interested in applying quantitative & optimization methods to solving real-world supply chain, manufacturing, and engineering problems. ＜Skills＞ ．Experience with any one of Mixed Integer Programming (MILP), Linear Programming (LP), Non-linear Programming (NLP), Constraint Programming (CP), Meta-heuristics (GA / SA / Tabu Search / ALNS…), Stochastic / Robust Optimization, Numerical Simulation…, etc., model/algorithm building of the practical application in the industry. ．Hands-on experience with commercial or open-source solvers such as Gurobi, Cplex, OR-Tools, or SCIP. ．Familiarity with programming languages like Python or C++ or Java. ．Advanced ability to perform problem decomposition, constraint analysis, and working knowledge of operations research theory. ．Ability to visualize optimization results, KPI trade-offs, and solver behavior (e.g., gap convergence, IIS diagnostics) in the most effective way possible for a given task, especially debug and troubleshoot infeasible / unbounded models. ＜Minimum Qualifications＞： ．2+ years of professional experience with a degree of Ph.D. / Ph.D. Candidate, or 3+ years of relevant working experience with a degree of Master. ．Major in Industrial Engineering / Operations Research / Computer Science / Information Engineering / Information Management / Applied Mathematics / Supply Chain Management or related quantitative discipline (such as in a field where there is intensive training in quantitative & optimization methods, e.g., Operations Research, Industrial Engineering, Management Science, Transportation, Logistics, Statistics, Economics, Electrical and Computer Engineering, Physics).

＜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.維護多個資料庫，包含資料的新增、更新、除錯與輸出，每週連結數個資料表做資料彙整與統計，輸出豬隻選留與淘汰用報表。 2.每週種豬性能檢定與體型評分。 3.近親監控管理，包含近親係數計算，近親迴避控制與品系管理。 4.每週整理性能資料，更新系譜，撰寫腳本程式，更新育種價估值，編製指定配種表。 能力要求： 1.碩士以上學位，主修動物科學，曾修習過遺傳學、育種學、統計學、微積分、線性代數、以及程式設計，研究內容與數量遺傳有關。 2.熟悉linear mixed model、BLUP、EBV 與指數選拔 3.熟悉Excel、R(或Python)、育種價估計軟體(BLUPF90、ASReml、DMU或其它)。 4.熟悉種豬檢定工作，種豬相關工作經驗1年以上。

1. 熟悉線上廣告行業，負責廣告變現相關分析及廣告執行經營分析工作 2. 構建業務數據指標體系，並以此為基礎進行問題診斷進而輸出業務改善建議，形成數據策略反饋 3. 通過定性和定量方法對組織內流程、人員效率進行數據規劃、收集、處理、分析和預測 4. 對廣告產品與受眾人群進行深入研究，找到與業務的結合點，輸出對業務的提升與改進方案

資格條件: 1.碩士(含)以上，醫務管理、公共衛生及統計學相關科系畢業。 2.具流病&統計專長及健保資料庫研究統計分析經驗者尤佳。 工作內容: 1.協助同仁申請衛生福利資料科學中心相關資料庫進行研究。 2.負責提供研究設計、統計分析及論文撰寫/投稿等服務。 其他事項: 統計分析及統計軟體(SAS、Stata、SPSS、R等)操作能力。 月薪資：38,000~45,300元 (錄取後前1.5年薪資比照原科技部專任助理人員工作酬金水準，另增加每月3,000元特別津貼) ※歡迎所有求職者、身心障礙、中高齡、退休及二度就業者踴躍來函應徵※ ♦♦♦♦♦♦♦♦♦♦♦♦♦♦♦♦♦ 誠摯邀請您的加入！！ 可備妥履歷表、自傳、成績單及相關證書影本參與面談 聯絡人:王組長 聯絡電話:03-8561825分機17651 聯絡時間:週一至週五上午0800-1200；下午1330-1730 電子信箱:paulwang@tzuchi.com.tw

【工作內容】 1. 執行研究計畫之相關業務。 2. 國內外研究文獻收集彙整、資料統計分析、計畫報告彙整等。 3. 實驗室相關檢驗分析、收案等工作。 4. 辦理計畫工作會議及相關行政整合等庶務。 【應徵條件】 1. 學歷：公衛/環醫/流病/統計/生科等相關科系，碩士或博士學歷。 2. 熟悉統計軟體應用 (如SPSS, R, SAS等)，或具備資料庫相關應用、處理大型資料庫等經驗，或具備研究調查收案經驗等。 3. 工作態度積極認真、團隊工作配合度高，具備良好之溝通能力者。 【職務類別】博士後研究員/研究助理 【工作性質】全職 【工作地點】國家衛生研究院竹南院區 【工作待遇】依國家衛生研究院計畫下博士後研究員/研究助理人員工作酬金標準敘薪，實際薪資依個人學經歷核定。 【可開始上班日期】115年7月起 【職務聯絡人】張小姐 【聯絡資訊】wtchang2@nhri.edu.tw, 分機38511 【其他應徵方式及備註】 1. 檢附履歷(中英文不拘)、代表性著作或研究論文、個人自傳；其他相關證書或有利審查文件。 2. 條件符合者邀請面談，不合者恕不退件不函覆。 3. 應屆畢業生可。

1.運用政府資料，整合行政、社會經濟等，透過適合的統計方法進行分析量化特定區域之韌性及脆弱度，評估區域韌性條件。 2.社會韌性指標建構：執行資料蒐集與數據分析、辦理專家諮詢，並協助收斂研析產出具體指標、資料庫建構、AI工具導入。