Data Scientist (Global Ecommerce and Digital Marketing Team)
Description
工作說明
1. 隨時熟悉市場上各種數據庫、數據程式語言、分析工具的特性及優勢
2. 評估及整合不同數據源及架構，並自動化數據處理流程，及視覺化各項數據分析
3. 根據不同目標需求，須與其他部門尋求合作，分析數據或建立數據模型
4. 透過測試驗證模型精準性，並維護數據模型的正確性
5. 熟稔電子商務各項行銷工具，並能整合其網站數據於各項分析或模型中
需求條件
擅長工具：C,C++,Matlab,Python,R,Scala,MySQL,JavaScript,Google Analytics
工作技能：Machine Learning,資料庫軟體應用
ASUS於1990成立至今30餘年，長期致力於以消費者需求為核心的產品，並在全球市場上獲得無數消費者及獎項的肯定，而在大數據趨勢下，ASUS更著眼致力於各項數據管理、分析與運用，期望透過以大數據引導產品設計、服務體驗、產品銷售及行銷溝通等面向，建構起更完整、優質以消費者為核心的品牌體驗。
因此，我們正在尋找一位對於大數據專家，只要您對於數據有高度敏度、善於處理各項資料格式、建立數據模型預測趨勢，且樂於接受各項數據上的挑戰，非常歡迎您隨時與我們聯絡。
1. Expert level proficiency in Python for the development of data science applications (minimum 3+ years)
2. Experience with relational databases (SQL), unstructured and NoSQL data stores, and cloud data platforms such as GCP, AWS and Azure.
3. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, classification, clustering, and/or regression.
4. Experience in data-drive design, digital marketing, Google analytic, CRM, Marketing automation or eCommerce.
5. Solid knowledge of data visualization tools, such as, Tableau, Power BI, etc.
6. Bachelor degree in Computer Science or related field is a must.
7. Strong communication and organization skills
8. Strong critical thinking and problem solving skills
9. Proactive and ability to work independently
10. Good teamwork skills, creative, passionate about innovation, willing to learn but also a fast learner
11. Ability to multitask with strict time constraints, budgets and business goals.
12. Self-motivated, enthusiastic, adaptable and able to pick up new techniques
13. A committed team player
14. Salary is evaluated based on academic background and years of related work experience