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Job Title CS - Data Science Engineer - Tainan Degree: Work Experience: Travel: Workplace Types: Job Description: Introduction to the job As a Data science engineer in CS Operational Excellence team, you will be part of the digital transformation journey within Customer Support OPS towards sustainable improvement in data automation, data visualization and systems applications with the aim of creating value and reducing wastes. You will provide support to the line organization and co-ordinate the

公司介紹 金融保險業(產險)，在台成立60年，為日本在台子公司。2022 亞洲最佳企業雇主獎， 視員工為珍貴資產，對於幸福職場的營造及專業人才的育成不遺餘力，2022年度首次參賽即獲《HR Asia》(亞洲權威性

Who we are: 簡介 優投房是技術驅動與數據驅動的房地產資訊平台．提供房產投資者與房產專業人士完整的房源資訊，分析，與房產大數據．透過大數據的技術整合房地產資訊，並應運先進的統計與演

履歷，於 104 投遞者恕不受理，謝謝你的協助＊ 1. Conduct data science projects to help clients drive solutions and solve business problems from various domains using a wide range of data science techniques, including but not limited to Machine learning, data visualization, statistics, and so on. 2. Design, develop and maintain scalable automated machine learning and data science pipelines and applications to empower users to extract valuable results

The Role: We are seeking an exceptionally talented data scientist with strong modeling and programming skills to join our team. In this role, you will work closely with data science team and technologists across the firm to develop appropriate features and metrics for data processing. Perform analysis and generate models of financial datasets using machine learning techniques Process, clean and verify the integrity of unstructured data and turn data into valuable insights Develop and create data

為數據庫 6. 使用系統演算法，基於項目 Item-Based、Collaborative Filtering，進行商品相似性推薦和過濾預測 7. 優化 Clickstream Data, Product Keywords… 等專案任務 8. 使用 Databricks 進行相關專案開發 9. 精通 Git 版本控制 10. 熟練運用 VSCode、PyCharm 或其

【What a Data Scientist does in Titansoft？】 1. Apply statistical and machine learning techniques to build models for user classification, fraud detection and other objectives 2. Mine, analyze and visualize data from company databases to drive optimization and improve product development, marketing techniques and business strategies 3. Identify, understand and solve business problems based on the company's overall targets. 4. Coordinate with different feature teams to implement models and design p

Job Description Memahami tujuan bisnis dan mengembangkan model yang membantu mencapainya, bersama dengan metrik untuk melacak kemajuannya Menganalisis algoritma ML yang dapat digunakan untuk memecahkan masalah tertentu Menjelajahi dan memvisualisasikan data untuk mendapatkan pemahaman tentang data Mengidentifikasi perbedaan dalam distribusi data yang dapat mempengaruhi kinerja saat menerapkan model di dunia nyata Memverifikasi kualitas data, dan/atau memastikannya melalui pembersihan data Mengaw

1. 數據資料前處理（包含數據清洗、特徵工程） 2. 機器學習、深度學習或其他相關演算法開發 3. 數據與機器學習模型可視化處理 4. 依專案需求，參與系統架構流程規劃 5. 協同前端、後端

內容】 整合公司業務、網站、社群、客戶行為數據，設計BI分析報表，協助各團隊從數據瞭解現況並做出data-driven決策。 依產品需求建立視覺化報表，觀察趨勢及洞察問題釐清產品改進方向。 應用大數據分析