資料科學家（分析師） Data Scientist（Data analyst）

工作內容：設計、撰寫、測試各種軟體程式，開發數據分析之演算法及套件。

【Job description】

Using data modelling for behavior and/or language data to discover the underlying relations between people, environment, and the corporations, gaining insights and understandings into the intricate interactions, and providing effective estimations.

【Responsibilities】

• Applying machine learning and deep learning techniques to analyze behavioral data.
• Developing new methods to handle various types of behavior records. Fields include but are not limited to social media interactions, marketing records, and the likes.
• Developing efficient models to extract key features from various sorts of data and make predictions based on the analyses and the data.
• Designing prototypes and bringing solutions into production.

• 國語良好，英語良好。
• 熟悉Python與R之資料分析套件，並具Python程式開發經驗。
• 具有獨立分析、探索新事物的熱情、能力與毅力。
• 基礎Linux作業系統操作經驗。


【加分條件】
• 統計、數學、財工、資管、資科相關科系畢業為佳。曾修習機器學習、大數據、數值分析、線性代數、非線性規畫、最佳化、自然語言處理、計算語言學、量化語料庫語言學相關課程者為佳。
• 具機器學習、深度學習或大數據相關程式設計經驗者為佳。
• 具備數位行銷、經濟分析或金融實務之工作經驗者佳。
• 具AWS或GCP等雲端運算平台操作經驗。
• 英語（聽、說、讀、寫）能力優良。


【Requirements】
• Ability to work in Mandarin with your co-workers and to acquire necessary knowledge in English.
• Experience with analytics and/or NLP in R and/or Python.
• Experience with tools and development in Python.
• Be able and willing to explore and learn new technologies and domain knowledge and work hands-on to realize the solutions.
• Basic knowledge of working on a Linux system.
• Tempered with pragmatic ability to prioritize.
• Awareness of business objectives and ability to apply this understanding to product development.


【Preferred】
• Graduates or masters in statistics, mathematics, financial engineering, computer/information science, information management, computational linguistics, or other related fields.
• Taken courses including machine learning, big data, numeric analysis, non-linear programming, optimization methods, natural language processing, computational linguistics, quantitative corpus linguistics, or other related courses.
• Experience with programming in machine learning, deep learning, or big data.
• Working experience in digital marketing, economic analysis, or applications of finance.
• Experience with cloud computing platform like AWS, GCP, et cetera.
• Excellent competence in English.