CakeResume Job Search

1.協助規劃管控新型態數據科技專案之範疇、進度、人員、品質、預算、效益等。 2.協助跨部門招開專案會議與溝通協調，追蹤成果，管理更新需求。 3.協助維運現有數位行為蒐集平台。 4.協助部

Dcard 是在年輕族群有極高滲透率與影響力的社群平台。我們致力於打造一個讓每個人都可以放心分享自己故事的地方，讓平凡人分享不平凡故事的新世代社群服務。我們的用戶來自世界各地，除

1. 協助總經理經營資訊收集與數據分析統整。 2. 追蹤各部門專案進度、提報。 3. 協助高階主管進行跨部門工作流程之溝通、整合及規劃。 4. 協助經營團隊執行公司之決議專案並進行追蹤

1. 與客戶進行需求訪談，釐清分析目標，發想解決方案，並撰寫相關程式完成資料科學專案 2. 預測模型系統維運與障礙排除 3. 資料分析相關工作坊內容規劃，並擔任講師或課程助教 4.

▌工作內容： 1. 執行Facebook、Google Ads、LINE等廣告投放數據分析。【會與配合的廣告投放公司一同協作並每周討論成效】 2. 判斷專案目標並針對專案KPI進行預算管理與廣告優化。 3. 定期產出優化建議並

【Data Driven is our Core DNA!】 悠由數據由核心的可動態自我學習作物演算法起家發展，我們致力成為氣候科技X綠色經濟的數據公司服務全球！目前為快速成長的新創企業，服務客戶涵蓋金融產業、綠能產

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

Assist enterprises internal digital transformation and introduce AI modules or automation systems to replace traditional manual operations. Establish a systematic management mechanism and SOP to replace manual supervision and management and reduce management oversight. Analyze and evaluate production and sales risks based on internal and external market and supply chain information. Cooperate with supervisor instructions and company operating policies to assist in complete and systematic plannin

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

Get data from both internal and external sources via API or crawlers. Perform data analysis to help marketing/business teams to answer business/operational questions. Build and optimize models for business decision making. Interpret trends or patterns from complex data sets by using statistical and visualization tools. Conduct data analysis reports to illustrate/visualize the results and insight. Build analytics tools that utilize the data pipeline to provide insights to customer needs