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【Job Responsabilities】 ・Create and maintain optimal data pipeline architecture ・Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, etc. ・Work with stakeholders including the Data Scientist teams to assist with data-related technical issues and support their data needs. ・Set up MLOps environment for ML/DL projects. 【Skills】 ・Familiar with SQL Programming language ・Familiar with at least one scripting language (Python preferred) ・A

1. 開發和維運資料庫及資料倉儲 2. 建立data pipeline及資料品質之監控管理機制 3. 支援產品及分析團隊 4. 開發和維運數據模型 5. 開發和維運雲端服務及資源

助別人，以改進社會和組織，這將是合適你的角色。 ※ 工作職責： • 收集、整合與治理集團內外結構化與非結構化數據源，與 Data Engineer 合作打造數據倉儲系統與 Data pipeline 開發，共同打造穩健、高品質、高可用性的 Data & AI

Job Description: - Conduct data science techniques to solve business problem and fulfill clients' needs. - Analyze and visualize data to deliver insights to drive business optimization. - Cowork with data engineer to design data pipeline and infrastructure. - Research and study new methods to improve current data science strategy.

The Data Engineering Manager role at Gogolook is a critical position that requires a hands-on approach in leading our data engineering team. The ideal candidate should be able to work collaboratively with cross-functional teams to ensure that data engineering projects align with the company's strategy. In addition to collaborating with data scientists, product managers, and other relevant departments, the manager will plan, design, develop, maintain, and research emerging data technologies and t

· Working with a multicultural team on Global Big Data analysis. · Identify patterns and trends in global-scale data sets in both education and digital whiteboarding industries. · Work alongside teams to design and implement data visualization for both internal and external audiences. · Work with the developers’ team to define new data collection and analysis processes. · Uphold data integrity, consistency, availability, and creditability. · Design, develop and maintain data pipelines that scale

Responsibilities Include: Collect, define and document engineering data requirements. Design and develop the data pipeline to integrate the engineering data into the data lake Design analytics database schema Automate and monitor ETL/ELT jobs for analytics database Design data model to integrate with existing business data Work with to existing team to integrate, adapt, or identify new tools to efficiently collect, clean, prepare, and store data for analysis Design and implement data quality che

1. Knowledge and experience with application of advanced statistical techniques (regression, various statistical tests, etc.). 2. Knowledge and experience with application of a variety of machine learning techniques (clustering, decision tree, neural network, PCA, etc.). 3. Experience with data visualization tool such as Tableau or Power BI 4. Real-world ML project end-to-end experiences, including model simulation. 5. Data pipeline processing knowledge and ability to efficiently cross check

算法外，您可從中學習到零售業的 Domain Know-How。 技能需求 3~5年相關經驗。 設計並建置可維護與可重用 Data Pipeline 任務與 API。 開發高效資料收集、清理、轉換、品管流程。 善用自動化的方法處理資料，使數據分析與

務的產品策略思維，打造用數據賦能零售業者的 SaaS 產品。 【實際接觸到的工作內容】 1. 與 Data & Martech 產品團隊的產品經理、 UX 設計師、前端 Frontend engineer、後端 Backend Engineer 等不同角色密切合作。 2. 打造 91APP 的各項 Data & Martech 產品