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Introduction As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live. Your Role and Responsibilities

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

＊請至 【 https://mobagel.typeform.com/to/ojShbwVv 】 投遞履歷，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

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

【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

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

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

履歷登錄網址: Link [Summary] Winbond is building a data intelligence team to increase productivity, data capability, and business impact. This team is in charge of enterprise data platform, AI and BI solutions to empower not only business operation but also strategic decisions. We are looking for Senior Data Scientist to join this new and world-class data intelligence team. You'll collaborate with other Data Scientists, Data Engineers, and various domain-subject ex

學歷需求: 資訊工程相關、統計學相關、電機電子工程相關之碩士、博士 執行AI技術開發專案。大數據分析與建模。 舉辦內部統計與數值分析的教育訓練。 新AI技術導入，並協助成熟專案橫向展開。 熟悉

Responsible for developing and implementing advanced analytics models to assess credit risk and make data-driven decisions. Develop and maintain predictive models for credit risk assessment using machine learning and statistical techniques. Analyze large datasets to identify trends, patterns, and insights related to credit risk. Collaborate with cross-functional teams to implement risk models into business processes. Lead and mentor a team of data scientists and analysts. Stay abreast of industr