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At SHOPLINE we are working on very interesting initiatives that would involve using data-mining and machine learning. with the vast amount of data that we currently have and growing exponentially. We will share details during the interview. 【What you'll be doing 】 - Develop, operate, and monitor ETL for data collection, cleansing, processing, storage, and analytics - Responsible for data schema management and db performance tuning - Develop backend APIs and maintain data visualization platform f

【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

Job description: Part of You & Mr Jones, the world's first brandtech group, fifty-five is a data company helping brands collect, analyse and activate their data across paid, earned and owned channels to increase their marketing ROI and improve customer acquisition and retention. Headquartered in Paris with offices in London, Hong Kong, New York and Shanghai, the data company was named by Deloitte as one of the fastest-growing tech firms in Europe, thanks to its unique technology

#About the Team Fazz’s Data Engineering teams are responsible for creating and maintaining the infrastructure that runs the company’s data pipeline, and optimizing the flow and collection of data for the critical business analytics and AI/data-driven solutions. The success of the team relies on the high engineering standard and the adoption of cutting-edge technology that empowers the organization to be agile. Data engineering forms the foundation to ensure that precious data

成工作。我們熱愛新想法與導入新科技，任何idea以及嘗試，我們都很熱意討論。 工作內容： 1. Develop and design data / backend service systems for business related purpose. Develop, operate, and monitor ETL for data collection, cleansing, processing, storage, and analytics Design, build, and maintain APIs, services, and systems. Innovate and implement tools to enhance internal team

Job Description: The primary responsibilities of this role include: ．Support the Product Cost Manager (PCM) to do costed BOM (Bill of Material) analysis, including, but not limited to, version comparison and data validation ．Support the PCM to do cost reporting documentation preparation. ．Track cost changes through the entire product lifecycle ．Manage costing data in the system to ensure all reports are completed fully.

Curious about what it’s like to work at the world’s number 1 discovery platform as a Data Engineer in Production IT ? We’re glad you asked! Taboola , the world’s largest content recommendation platform, is hiring a Data Infrastructure Engineer. What are some of the things you do on a day-to-day basis? Determine database structural requirements by analyzing R&D operations, applications, and programming; reviewing objectives with relevant business units; evaluating current systems; Develop databas

As a Product Lifecycle Management (PLM) Operations Analyst, you will be responsible for effective management of product data in the PLM system throughout the lifecycle of our consumer hardware products. You will work with the PLM Operations program manager to understand the PLM requirements for the product, manages the part numbers and bill of materials in the system and tracks the release of the changes in line with the product development process. You are well versed in PLM

【職缺說明】 我們集團IT團隊正在吸納多方位的專業人才加入我們團隊，一同以專業技術支持 B2B2C 電子商務平台及其他IT專案發展。 台灣團隊會與跨地區IT專才一同合作及學習交流，並參加培訓

The Data Platform team enables our customers to ingest and perform real time analytics on critical security insights and intelligence data stored in our vast Data Lake and empower internal engineering teams to leverage the best datastore technology for their needs. Our Big Data technology stack consists of Kafka, Google PubSub, ClickHouse, Google BigQuery etc. We’re looking for software engineers with a background in distributed systems and are excited about the opportunity to work on large-scal