CakeResume Job Search

洞察分享，旨在提供美妝業界趨勢分析洞察。本職缺內容如下： 【CMRI美妝行銷總研】商業數據分析師(BUSINESS ANALYST) 1. 透過@cosme站資料庫進行資料分析與消費者洞察。 2. 定期舉辦seminar，對外分享美妝產業年度

行為數據分析用戶使用歷程，提供產品團隊最大效益的優化方向，讓用戶能有更好的產品體驗 ✅ A/B testing： 經由分析成果你會得到許多見解來對問題提出各種假設，並試著找出解決方案，A/B

拓展數據科學應用，掌握創新AI技術趨勢，並進行模型落地與深化： 1.『大語言模型』研究：地端生成式AI導入、設計模型運行架構與模型應用規劃。 2. AI技術推廣與導入：瞭解子公司需求，針對共通

Superb technical, research and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively. This person must be comfortable working with a team of top-notch developers and collaborating with our business team. We want people who innovate and love solving hard problems. Key responsibilities: - Fine tune and optimize LLM's - Building and maintaining data pipeline including data processing and data analytics - Developing and maintaining efficient and sca

【工作内容】 • 協助高階主管及業務主管分析電商業績成效，並製作相應的報告 • 追蹤各品類的經營績效，並提供分析及改善建議 • 負責專案分析，包括財務分析（FP&A）、目標指定及商業模式分析 • 針對業

▎Athemaster 在2022年10月對外發表屬於Athemaster 2.0 在資料領域做為領導品牌的產品與服務： ✓ Data Project Management Methodology ✓ Data as a Product Development Framework ▎關於 Athemaster： ✓ 多緯度的Athemaster https://rebrand.ly/05d8f3 ✓ 7 個加入Athemaster的理由 https://rebrand.ly/f60e90

What you will be doing: 1. 基於公司AI產品及商業需求，與AI工程師、數據工程師一起建構業務成長指標體系，完善資料歸因體系。 2. 從多種資料來源組合資料進行深度診斷分析，對問題進行深入分析，為

To transform healthcare through AI & SaaS. Utilizing deep technologies in Natural Language Processing, Computer Vision, Machine Learning, and Data Analytics, we build and deploy secured solutions that improve the quality of care, increase accessibility, and reduce costs. We have deployed our solutions in over 20 hospitals in Taiwan and plan to expand our services in Singapore and the region. 以人工智能雲端服務 (SaaS) 為核心， 幫助台灣產

Application of statistics, Machine Learning, Data Mining, pattern recognition and other data analysis techniques to collect, explore, and extract insights from very large scale structured and unstructured data and summarize the results by data visualization tools to support fab operations.

expect】 Here at iKala, we are developing new algorithm and data pipeline which powers business decision in marketing and in-house analytic platform. You will cowork with teams of working in Machine Learning, Data Acquisition, Data Scientist and Data Analysis to develop or optimize algorithm on large scale multi-modal data. 【What you will be doing】 1. Develop in house multilingual NLP models ( Chinese, English, Japanese ) 2. Tuning and optimize algorithm to handle large scale data