目前團隊於 Gogolook 主要負責 FinTech 領域的應用開發 我們正在找尋一名數據分析師 該數據分析師將成為產品研發團隊的一部分 這個角色將執行數據分析 從統計取樣 探索資料分析 特徵工程 模型訓練 並與團隊合作落地於產品應用 你可以盡情展現你的專業技能 提供決策建議 協助團隊解決各種有挑戰性的問題 (有金融領域背景 具備銀行信用風險模型相關經驗更佳)
同時 這個角色也會需要和團隊其他職能一起協同 co-work
Your mission is to outcome credit scoring models, thus you have to handle / drive every block in this process which includes :
Discover data insights with logical and efficient EDA methods.
Do feature engineering to pick-up useful features.
Validate your hypothesis with powerful evidence and reasonable logics.
Visualize your report and make listeners understand.
Move projects to the next step by providing analysis solutions.
Define and implement data acquisition and integration logic.
At least 2 years of hands-on analysis experience with Python, and must be familiar with Pandas, NumPy.
Proficient in SQL and other query DSL.
Solid understanding of both probability and statistics.
Strong analytical experience and business acumen, preferably in banking or credit scoring background.
Visualize and graphing skills.
Good communication and presentation skills, making people clearly understand your opinions and needs.
Self-motivated to solve unfamiliar problems and take challenges.
High willingness to share knowledge you have with team members.
Share your opinions with evidence and validated reality.
Experience with machine learning and deep learning frameworks, such as Scikit-learn, TensorFlow, PyTorch, etc. Applied experience preferred
Experience in Kaggle competitions
Experience in working with cloud services such as AWS, GCP