1. Leverage data to facilitate the business decision-making process and gain insights through big data analysis (including data extraction, data cleaning, data exploration and analysis) to identify issues and explore new business models.
2. Use programs to establish analysis or forecasting models for applications such as precision marketing or risk control, thereby fostering the business decision-making process or enhancing operations efficiency.
3. Collaborate and communicate with other business departments to plan and formulate data-driven business solutions, and coordinate with cross-functional teams to implement the solutions.
4. Research the adoption of algorithms and theories and perform trials of emerging data applications and technologies, thereby enhancing the overall capabilities of data teams' data applications.
5. Establish automation architecture and develop supporting tools for data teams.

1. 透過數據協助商業決策，萃取大數據資料進行洞察分析，包含資料抽取、數據清洗、探索分析等，發掘問題及新商業模式。
2. 使用程式建置分析或預測模型，投入精準行銷或風險控制等應用，促成商業決策或提升作業效率。
3. 結合其他部門業務共同合作，溝通、規劃並建構「數據驅動」之商業解決方案，整合跨單位工作並落地實作。
4. 各種演算法技術與理論落地研究、實作可實務應用之新興數據技術，協助提升團隊整體數據技術運用能力。
5. 建構數據團隊自動化架構、開發數據團隊輔助工具。

• Salary Range： Negotiable (Regular salary is 40,000 and above.)
• Type： Full-time
• Expatriation： Business trip/expatriation not required
• Work hour： Day shift
• Location： Taipei City Daan District
• Leave system： Negotiable
• Required number of employee： 1 ~ 2 person(s)

• Work experience： No restriction
• Experience： No restriction
• Required education level： No restriction
• Required program： No restriction
• Required language ability： No restriction
• Knowledge： Required：Xgboost、SAS、Python
  Preferred：R、GIS、Spark、Tableau
• License： No restriction
• Other requirements： Minimum qualifications:
  1. Programming languages such as Python and SQL
  2. Familiarity with machine learning, artificial intelligence, and data science knowledge
  3. Ability to conduct effective communication and develop project solutions to achieve business goals
  
  Preferred qualifications:
  1. Proven experience as a practitioner or intern in fields such as machine learning, deep learning, NLP, RL, and LLMs
  2. Familiarity with database, business analysis, narrative visualization, or modeling and architecture design
  3. Ability to independently perform and execute tasks, conduct research, and develop applications, with strong cross-departmental communication skills, and proactive attitude
  4. Strong skills in logical thinking, visual analysis, interdisciplinary communication, presentation, communication
  5. Award recipient or contender in business intelligence competitions or experience in ML pipeline practices
  6. Strong desire to adopt and research machine learning and artificial intelligence; familiarity with academic papers and having practical experience preferred
  
  必要條件：
  1.Python、SQL程式語言開發能力
  2.具備Machine Learning、人工智慧、資料科學相關知識者
  3.專案溝通、解決方案建構、業績目標達成
  加分條件：
  1. 曾有Machine Learning,Deep learning, NLP, RL,LLM 實務或實習等實際經驗者。
  2. 熟悉資料庫、商業分析、視覺敘事、模型架構設計等。
  3. 具獨立作業、執行、研究、開發能力，善於跨部門溝通協調，主動積極。
  4. 思考邏輯清晰，具視覺化分析、跨領域溝通、簡報技巧與溝通能力者佳。
  5. 商業數據競賽獲獎或參賽經驗者，或 具備ML pipeline相關實務經驗者佳。
  6. 對ML、AI實作與運用有高度興趣和研究意願，具學術論文研讀與實作經驗者佳。