【數位金融】AI資料科學家_I00024150

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。