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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. 設計/開發/維護大數據相關專案, 包含Data Warehouse管理, 負責資料建模、收集、存取與儲存等功能 2. 建立 Batch/Streaming ETL pipeline，並確保數據品質與正確性 4. 維護雲端大數據架構及服務 5. 理解使用者

【工作內容】 與產品團隊和前後端工程團隊合作，確保資料品質與產出 創建與維護Data Infrastructure Data Pipeline & ETL/ELT Data Product開發與維護

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

Build dashboards, self-service tools, and reports to analyze and present data associated with business operations and Marketing performance to support key business stakeholders to make data-driven decisions in the organization. Consulting and problem-solving mindset: Ability to work with ambiguity and uncertainty, digest business problems, propose and implement analytical solutions to derive value and outcomes. Support and manage data requests from business stakeholders – can understand business

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

We’re looking for motivated individuals to help us with data annotation. Responsibilities will include gathering, sorting, compiling, and annotating data for the training and testing of computer vision models and software products. The role also includes creating and generating clinical reports for clinical staff, and sharing data with senior-living caregivers, nurses, and staff.

We are seeking senior data engineers interested in developing a document intelligence service for professional workers, collaborating with our global RD, PM, and growth teams. The service leverages AI to assist professional workers in automating the processing of business documents. For instance, it can automatically scan professional documents, including contracts, financial documents, and medical records, and then extract relevant data for workflow automation.

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. 3. Build new and enhance existing tools to strengthen the internal toolbox of the Data

As a Product Data Analyst at 9GAG, you will work with different teams to build products. We are looking for an extremely entrepreneurial Product Data Analyst, with a deep understanding of transforming abstract data concepts and a massive amount of data into insights and recommendations, to help innovate and execute product initiatives across the company. This position is full-time and remotely based on Hong Kong time zone. Responsibilities Understand 9GAG’s strategic and competitive position to