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Following corporate data protection policy, oversee readiness and effectiveness of data protection measures to design, implement and facilitate high impact training and promotion programs For overseas site data protection platform and organizational infrastructure (working team) to plan the training course and promotion activities schedule and resources Manage and leverage corporate promotion resources to fulfill localized learning and promotion needs Ensure the effectiveness of data protection

About the role Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. As a Staff Engineer on the Data Engineering Team you’ll be working on some of the hardest problems in the field of Data, Cloud and Security with a mission to achieve the highest standards of customer success. You will be building blocks of technology that will define Netskope’s future.

Job Title CS - Global Operations Center Planner (12-hr day/night shift) - Taichung Degree: Bachelor Work Experience: 2-3 years Travel: 10% Workplace Types: Hybrid Job Description: Introduction to the job Do you like challenges and do you want to work in a fast pacing supply chain environment to support some of the biggest semiconductor companies worldwide? Are you familiar with Logistics Operations and like to managing urgent demands on a daily basis? If this sounds like you and

Responsibilities ● Carrying out keyword research using software such as aHrefs, SEMrush, and Google Keyword Planner to optimize web content ● Tracking website performance and generating insights/optimization plans such as organic traffic, conversion rates, and time spent on the page using platforms such as Google Analytics and Similarweb ● Monitoring and reporting on search trends and SEO performance using Google Trends ● Performing competitor analysis to identify content gaps and areas for impr

履歷，於 104 投遞者恕不受理，謝謝你的協助＊ 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

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

Manage the process for collecting, analyzing, and interpreting people data and turn data into insights. Conduct reports with specific analytic initiatives to articulate internal people questions and support HR strategy, operations, and projects. As a partner to empower BPs to analyze and interpret people data independently. Continuously search for new data sources relevant to advanced analytics models of the people in TSMC for business purposes. Continuously improve the efficiency and effectiven

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

We are in search of a Senior Data Engineer to join our team. In this role, you will be responsible for designing and optimizing our data pipelines, with a focus on planning the architecture for user data return from the product end. Responsibilities: Design and manage data pipelines, ensuring high quality and reliability. Take charge of planning the architecture for user data return from the product end. Develop and maintain data processing and ETL pipelines using

Google welcomes people with disabilities. Minimum qualifications: Bachelor's degree in Engineering, Supply Chain, a similar field, or equivalent practical experience 10 years of experience in Product Lifecycle Management (PLM), Product Data Management (PDM), or a similar role Experience in program management and leading cross-functional projects Experience in engineering change order (ECO) processes Experience in Materials Management (Material Disposition, Materials Requirements Planning, Invent