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Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade.Advanced Quality System Development (AQSD) is part of TSMC's Intelligent Manufacturing Center (IMC), responsible for three main directions: Use statistical methods and conditional monitoring to inspect fab control charts, providing early warning of abnormal product yields; offer a fab defense system settings comparison platform to check that machines meet the internal control anomaly conditions set by the engineering department.Develop online fab analysis platforms through Big Data, Machine Learning, and Deep Learning techniques for online yield/defect analysis to ensure the quality of wafers produced in the fab.Develop systems and provide logical operations to control and implement escape mechanisms for material batch changes, measurement stages, and inspection stages, ensuring quality and optimizing product sampling rules. Responsibilities: Apply machine learning/optimization algorithm to build up models for optimizing semiconductor production.Develop analysis and optimization methods to enhance product quality, increase tool productivity and improve people productivity.Design, develop and test prediction models with real applications in manufacturing.Build a flexible framework to speed up the development process of AI models, with a focus on Large Language Models (LLMs) serving.Turn exciting AI prototypes/ideas into products, leveraging LLMs and other advanced AI technologies.Develop next-generation AI backend systems related to large-scale real-time data access, collection, analytics and monitoring.Establish and maintain MLops processes and tools, including model deployment, monitoring, and automation.Continuously improve the quality of AI production systems, particularly those utilizing LLMs.

We are looking for a data-driven and strategic Senior CRM Specialist to join our Growth Marketing team. In this role, you will take ownership of member performance analysis by collaborating with our Hongkong Data team, lifecycle marketing strategies, campaign planning, and CRM performance optimization. Your primary focus will be analyzing member behavior and providing actionable insights to help the team achieve growth objectives. You will also execute lifecycle journeys and CRM campaigns — including email and LINE push messages — to drive retention, engagement, and revenue growth.This role requires high collaboration with cross-functional teams including membership, content, performance marketing, e-commerce, digital and data. It also involves building strong networks with our APAC and United teams.

Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade. We are seeking a talented and innovative Data Scientist to join our strategic HR team. This role is instrumental in driving HR transformation through the application of AI, data analytics, and emerging technologies. The ideal candidate will possess strong AI capabilities using Python, general IT knowledge in databases, systems, and UI/dashboard prototyping; a background in computer science, information management, or a related field. The Data Scientist will function as an HR RD specialist, exploring and implementing advanced tools and methodologies to enhance HR processes and deliver substantial business impact. Responsibilities:1. AI and Data Analytics in HR: (1) Develop and implement AI models and machine learning algorithms using Python to optimize HR processes. Perform advanced data analytics, including handling big data in various formats (e.g., text data using NLP), to generate actionable insights for HR transformation. 2. Research and Development: (1) Investigate and stay current with emerging AI and intelligent tools, assessing their potential applications in the HR domain.(2) Conduct proof of concept (POC) projects to test and validate new technologies and methodologies. 3. Data Handling and Modeling: (1) Manage, pre-process, and analyze large datasets to support HR initiatives.(2) Build and validate predictive models to forecast HR metrics and enhance decision-making processes. 4. Tool Development and Prototyping:(1) Develop and prototype user interfaces and dashboards to visualize data insights and support HR decision-making.(2) Integrate various systems and databases to streamline data flow and accessibility. 5. Collaboration and Innovation: (1) Collaborate with HR and other departments to identify opportunities for AI-driven improvements.(2) Work with cross-functional teams to implement data-driven solutions that enhance employee experience and operational efficiency. 6. Strategic Contribution: (1) Provide data-driven insights and recommendations to support the strategic planning process.(2) Contribute to the development and execution of HR strategies through robust data analysis and reporting. 7. Technical Expertise: (1) Utilize Python, SQL, and other relevant tools for data analysis, AI model, and automation tool development.(2) Employ visualization tools such as Power BI, Tableau, and web technologies like React or JavaScript for dashboard development. 8. Multi-Tasking and Impact: (1) Manage multiple tasks and projects simultaneously, demonstrating an eagerness to contribute and make a positive impact.(2) Support colleagues in improving daily work processes and strategic planning. 9. Team Player:(1) Work effectively within a team, fostering a collaborative and supportive environment.

Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade.We are seeking an experienced and dedicated Logistics and Shipping Specialist to oversee and optimize our shipping and logistics processes for special customers. The ideal candidate will possess in-depth knowledge of export regulations, exceptional communication skills, and the ability to manage multiple projects and data analysis initiatives. This role is crucial for ensuring smooth customs clearance, efficient logistics operations, and the continuous enhancement of IT solutions for data analysis.Responsibilities:1. Shipping and Logistics Management:(1) Oversee and manage the entire shipping and logistics process for special customers, ensuring timely and cost-effective delivery of goods.(2) Coordinate with internal teams and external partners to streamline operations and resolve any logistical issues.2. Export Expertise:(1) Provide expert guidance on export regulations and procedures to facilitate smooth customs clearance.(2) Regularly update and enhance the flight matrix to improve shipping efficiency and reduce transit times.3. Project and Hub Management:(1) Lead and manage logistics service-related projects and hub operations to ensure optimal performance and compliance with company standards.(2) Implement best practices in logistics management and continuously seek opportunities for process improvements.4. IT Solutions and Data Analysis:(1) Collaborate with the IT department to develop and enhance IT solutions for comprehensive data analysis.(2) Utilize data insights to drive strategic decisions and improve logistics performance.

Please visit this Google Careers posting for the Vietnamese-translated version of this role.Minimum qualifications: Bachelor’s degree in Materials Science, Mechanical, Chemical, or Electrical Engineering, Mechatronics, or equivalent practical experience. 4 years of experience in failure analysis for consumer electronic products. Experience working with lab tools (microscope, balance) and utilizing lab tools to answer questions. Preferred qualifications: Master's degree in Materials Science, Mechanical/Chemical/Electrical Engineering, or Mechatronics. Experience with inspection equipment (X-ray, CT), and scanning electron microscopy. Experience with programming in 1 or more of the following languages: MATLAB, Python, R, JavaScript, C/C++ and GenAI. Experience in experimental automation, instrument control, data analysis tools, numerical simulations, or statistical analyses. Ability to travel up to 10% of the time, including international travel. About the jobAs a Reliability Engineer, you will play a key role in creating new consumer electronic products that meet a high bar for reliability and performance. You will work closely with the product management and design engineering teams to define standards, specify tests, and then supervise test execution and failure analysis. A broad engineering background and command of statistical methods will help to inform design of new products. Your strong interpersonal and communication skills will be key to ensuring adoption of your technical recommendations. Googles mission is to organize the worlds information and make it universally accessible and useful. Our Devices Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our users interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices Services team is making peoples lives better through technology.Responsibilities Contribute to the investigation of hardware device failures, including but not limited to: materials, electrical, and component quality. Systematically apply scientific principles and analytical techniques to identify the fundamental cause(s) of hardware device failures. Utilize techniques such as microscopy, CT, and basic electrical probing to identify failure modes. Develop clear failure analysis documentation that can be read by both technical and non-technical audiences. Develop and optimize new analytical methods and laboratory procedures to address emerging challenges and improve failure analysis capabilities. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

【Hour Loop 飛輪電商】在2013年成立，並於2022年初在美國那斯達克上市。作為亞馬遜 (Amazon) 第三方賣家，我們的工作不只廠商開發，還包括商品上架、價格制定，以及物流與庫存管理，通通一手包辦。 在百萬競爭對手中，我們透過獨特的營運模式，成功實現十年來的持續成長，並脫穎而出，在2022年底躍升為亞馬遜 (Amazon) 前十名的賣家！ 我們提供彈性且暢通的職涯管道，不綁年資，端看績效表現，從「獨立貢獻者」到「管理職」適性發展！如果你喜歡打磨自身專業能力，鑽研獨立的工作項目，便適合獨立貢獻者的角色；若你有準確遠見，善於溝通和帶領團隊，你可能就是未來的帶人主管！ Job Description 1. Analyze market sales data and seasonality to discover potential products. 2. Assist senior business managers in developing purchasing strategies to maintain inventory levels. 3. Track the sales performance of products. 4. Calculate the potential profits of products to provide the best purchase advice. 5. Maintain product profit margins through pricing strategies. 6. Improve workflows by collaborating with teams to design scalable, efficient solutions through data analysis and automation 7. Use data-analysis tools (e.g., SQL, Python, R Language) to identify root causes and validate ideas Requirements Improve workflows by collaborating with teams to design scalable, efficient solutions through data analysis and automation Use data-analysis tools (e.g., SQL, Python, R Language) to identify root causes and validate ideas Strong problem-solving skills

We are currently hiring for （Sr.) Data Scientist (資深) 資料科學家 professionals that will take part in: What you’ll do:▸ Collaborate with product, operations, and marketing teams to define goals for data analysis and model applications.▸ Perform data cleaning, feature engineering, and exploratory data analysis (EDA).▸ Build predictive, clustering, and recommendation models, and evaluate and optimize their performance.▸ Assist in designing A/B tests, analyze experiment results, and validate strategic effectiveness.▸ Integrate multiple data sources (such as behavioral data, transactional data, and third-party tracking tools).▸ Communicate insights through data visualization and storytelling to support decision-making.▸ Work closely with Data Engineers and Analysts to optimize data pipelines and model deployment processes.▸ Research, exploration, and development of applications leveraging Large Language Models (LLMs) 歡迎對以下工作內容有興趣的 （Sr.） Data Scientist (資深)資料科學家 加入我們的大家庭！您將負責的事：▸ 與產品、營運、行銷團隊合作，定義數據分析與模型應用目標▸ 進行資料清洗、特徵工程與探索性資料分析（EDA）▸ 建立預測、分群、推薦等模型，並評估與優化其效能▸ 協助設計 A/B Test，分析實驗結果，驗證策略成效▸ 整合多元資料來源（如行為資料、交易資料、第三方追蹤工具）▸ 以視覺化與故事化方式傳達洞察，支持決策制定▸ 與 Data Engineer、Analyst 協作，優化資料流與模型部署流程▸ 研究、探索並開發運用大型語言模型（LLM）的應用

為什麼大家喜歡在 RichWell Co.Ltd. 上班？ 1.彈性上班-早上不趕打卡，想多睡一點、避開通勤人潮都OK。2.特休多多-不用等滿一年就能休假，我們比法規更大方，放假就是要爽爽的。 3.獎金福利讚 年終、績效獎金該有的都有，努力絕對不白費。 4.生日小驚喜，公司記得你的每個重要時刻。 5.定期聚餐/Team Building 不只是工作夥伴，更是一起成長的戰友，吃吃喝喝感情更緊密。 6.技術課、內部分享會，想學什麼我們都支持，讓你持續進化不退化！Responsibilities: Responsible for defining product features, maintaining a prioritized backlog, and working closely with development teams to deliver high-quality solutions that meet customer and business needs. Act as the voice of the customer within the Agile process and ensure that each product release delivers maximum value Own and manage the product backlog, clearly expressing product requirements and acceptance criteria. Collaborate with stakeholders to gather requirements and transform them into actionable user stories and features. Prioritize backlog items based on business value, customer impact, and technical feasibility. Serve as the primary liaison between stakeholders (business, customers, management) and the development team. Ensure features are delivered with a clear focus on performance, scalability, usability, and security. Continuously refine and adjust the product roadmap based on customer feedback, data analysis, and changing business needs. Define and track product KPIs to measure success post-release. Advocate for best practices in Agile methodology within the team. Make thoughtful decisions on trade-offs between scope, time, and cost.

Minimum qualifications: Master's degree in Statistics or Economics, a related field, or equivalent practical experience. 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods. Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with Statistical Analysis, Modeling and Inference. Preferred qualifications: Experience translating analysis results into business recommendations. Experience understanding potential outcomes framework and with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators). Experience selecting tools to solve data analysis issues. Experience articulating business questions and using data to find a solution. Knowledge of structural econometric methods. About the jobAt Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution. Responsibilities Interact cross-functionally with a variety of leaders and teams, and work with Engineers and Product Managers to identify opportunities for design and to assess improvements for advertising measurement products. Collaborate with teams to define questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, bidding etc., and develop and implement quantitative methods to answer those questions. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analyses that include data gathering and requirements specification, exploratory data analysis (EDA), model development, and delivery of results to business partners and executives. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop knowledge of Google data structures, metrics, advocating for changes where needed for product development. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Support project coordination activities such as inventory cycle counts, reconciliation, and process documentation.Assist in data analysis, reporting, and dashboard development to improve operational transparency and decision-making.Research and evaluate emerging technologies or best practices in automation and compliance management.Develop and maintain process documentation and knowledge-sharing materials.Participate in team engagement and improvement activities, including organizing or co-leading a small team event.Deliver at least two process improvement proposals and maintain consistent reporting quality during the internship.