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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.

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.Job DescriptionA Senior Data Analyst responsible for aggregating and analyzing business data to support the company’s growth objectives. The ideal candidate should have a strong mathematical background and be able to leverage data analysis skills to provide valuable insights.Your Contribution:- Data Management and Analysis: Collecting, analyzing, and reporting sales data to identify trends, forecast sales, and provide actionable insights for decision-making.- Process Optimization: Streamlining and improving sales processes to increase productivity and reduce inefficiencies. This can involve implementing and managing CRM systems and other sales tools.- Sales Support: Assisting the sales team with various administrative tasks, such as generating reports, preparing sales materials, and managing customer accounts.- Performance Monitoring: Tracking sales performance metrics and KPIs to ensure targets are met and identifying areas for improvement.- Cross-Department Collaboration: Working closely with other departments, such as marketing, finance, and customer service, to ensure alignment and support sales initiatives.- Training and Development: Providing training and support to the sales team on systems, processes, and best practicesYour Qualifications and Skills:- 3 years working experience in similar capacity.- Familiarity with sales reports and sales records.- Experience with industry software such as Salesforce,  Oracle and Tableau.- Strong analytical skills- Proficiency with Microsoft Excel and Google Sheet, with experience in analyzing and reconciling data .- Excellent written and verbal communication skills.- Exceptional interpersonal and customer service skills.- Teamwork, responsible and working good attitude- Demonstrated ability to be solution-oriented, solve problemsThe Role: The GTM Specialist is responsible for selling the company’s products with a focus on developing new distribution and retail partners to sell to end-users. The role involves new account development and expanding existing accounts within the sales channel. It includes creating awareness and demand for company products among geographic or named accounts. Your Contribution: - Develop and execute regional business planning, negotiation, promotion, and sales target achievement. - Manage new channel and business development, build and manage the dealer network, and improve sales. - Enhance brand market influence and market share, ensuring key sales shop performance, brand visibility, product display, promotion execution, and distribution coverage of key and new SKUs. - Maintain routine customer relationships, train, and transfer Logitech product knowledge and information. - Provide daily work reports and feedback. Your Qualifications and Skills: - Strong business planning and negotiation skills. - Experience in channel development and dealer network management. - Ability to enhance brand influence and manage product displays and promotions. - Excellent customer relationship and communication skills. - Proficiency in reporting and feedback processes.#LI-LC1 /104Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at 1-510-713-4866 for assistance and we will get back to you as soon as possible.

❝ 跨領域/非相關科系(具相關經驗)➤ 等你來挑戰 ❞｜台灣半導體封測 前 ①⓪ 大廠｜⑴ 華泰 好 薪情 ☞ 年薪上看 16 個月⑵ 華泰 友 職涯 ☞ 專屬輔導員/HR服務窗口⑶ 華泰 善 生活 ☞ 福利平台10,000+ 家廠商任你逛(視營運狀況調整，固定或變動薪資因個人資歷或績效而異)1.負責業務相關數據之收集、清理與統計分析，透過資料探勘找出潛在問題，並進行數據分析與視覺化、產出關鍵績效指標 (KPI)報表。2.主導或協助推動組織內部碳盤查作業，規劃減碳路徑和能源管理策略，確保符合國際標準與法令規範。3.評估並導入數位工具，推動流程自動化。4.協助各單位推動數位化轉型與綠色環保專案，並提供相關技術諮詢。5.根據數據分析結果，向管理層提供具備事實根據的業務改善方案。6.協助與第三方驗證機構溝通，處理碳管理相關證照與標準之年度稽核。※【核定薪資範圍】不含加班及各項津貼※【具備以下證照尤佳】淨零碳規劃管理師-初級能力鑑定免費模擬試題檢測

About Cake Established in 2016 in Taiwan, Cake is an international talent community and platform providing comprehensive solutions for job seekers. By offering AI tools for resumes and portfolios, job search strategies, networking resources, and international job opportunities, Cake meets all needs in career development. With over 7 million users worldwide and collaborations with over 10,000 companies, Cake helps talent find the most suitable place at different stages of their careers. Cake Business Team Culture Values that are the foundation of our team culture, which every member embodies: Raise the bar- Impact matters. Stay focused and curious. Think big hustle- Push for bold, thoughtful, and rapid innovation. People first- Prioritize development and well-being. Help people flourish and feel valued. Transparency builds trust- Communicate with candor, honesty, and respect. Strength through inclusion- Welcome all voices. What makes you unique makes us all strong. One team, one dream- Pride and passion for our mission. Work collaboratively and have fun. 👉 Why Cake Business Team? Job Intro We are seeking a driven and dynamic Customer Success talent to join our Business team and contribute to the growth of our HR SaaSbusiness. If you're a creative thinker with a passion for problem-solving and delivering exceptional customer experiences, this role is for you. What we're looking for: Creative thinkerwho is naturally investigative and curious, enjoys exploring options and innovating Gifted problem-solver and solution-finder Excellent communicatorfor synthesizing complex information and presenting it concisely Passionate about customer experienceand customers in general Self-starterwho is determined to lead change and make a real impact Effective coordinatorwho can lead teams from marketing, business, and tech backgrounds to get things done Must beresult-oriented, and always focusing on measurably driving results to ensure we stay focused on the highest-impact initiatives Responsibilities Meet or exceed goals for customerretention, satisfaction, and adaption; Develop churn indicators, plan and execute rescue strategy, and revamp customercare flow; Identify key customers and launch attraction marketingprograms for customers and job seekers to increase talent and employerengagement and enhanceCake’s brand awareness; Work closely with the Cake Business team, aligning workflow among team members to execute on a plan and ensure accountability to meet or exceed goals while prioritizing and delivering outstanding customer experience. Collaborate closely with the Cake Marketing and Product teams, offering valuable customer insights to facilitate informed decision-making by the team.

The Business Analyst will be part of Customer Experience Excellence team, and work to supplement the analytics and visualization contributions towards the data-driven decisions at MoMo. This candidate should enjoy managing high volumes of customer operational data and be comfortable providing analyses and insights. They will have the opportunity to directly influence the products and development of the company, and their conclusions will have a wide-ranging impact on the customer experience decisions of the business.Mô tả công việcExperience Monitoring and Improvement:Building, developing, and maintaining automated dashboards to monitor performance metricsMonitoring data quality to ensure data sources are reliable and relevant for the team’s purposesAnalyzing complex data to drive insightful findings and translating them into meaningful, actionablerecommendations for our stakeholdersDesigning and implementing solutions and best-practices, with automation and scalability in mind, to empowerend-users to become self-reliantCollaborating with internal team to consolidate requirements, understand business needs, and deliver projects in a timely mannerAd-hoc Reporting Data Analysis duties or other responsibilities as requireProject management:Assist the Customer Experience Management Team in implementing improvement projects related to customer operations.Contribute to the development and execution of strategies that elevate customer satisfaction and loyalty.Yêu cầu công việcAt least 2-3 years of experience in the customer experience field.Excellent analytical skills and problem-solving aptitudeAbility to collect, organize, and analyze significant amounts of data with high attention to detailAbility to visualize findings, create meaningful insights, and arrive at actionable recommendationsStrong spoken and written communication skills to collaborate with team members and to explain findings clearly to internal team as well as stakeholdersExperience writing complex queries in SQL or other SQL-based languagesWork proactively with key business partners to closely monitor risks and opportunities and identify improvement opportunitiesSense of ownership, a growth mindset, and the ability to recommend solutions which are scalableSelf-learner and quick to adopt new knowledge and technical skillsEffectively collaborate within a team as well as work independentlyDesirable:Experience with BI/analytics/statistics tools and languages (Google BigQuery, Google Data Studio, R, Python, etc.)Solid technical/functional knowledge in statistics

【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

At SWAG Live's data team, our mission is to democratize data by building a self-service data platform. We aim to empower internal teams to access, interpret, and derive valuable insights from data effectively.As a Data Scientist in this role, you will collaborate with a multidisciplinary team of engineers and analysts to tackle diverse challenges using quantitative techniques such as statistical analysis and machine learning. You will work with large, complex event-based datasets, conduct exploratory data analysis (EDA), define requirements, and develop deploy models. We are particularly seeking a data scientist with experience in building customized recommendation models and a strong interest in product-focused machine learning development. Responsibilities Leverage state-of-the-art algorithms to build fully customized recommenders and other growth models.Design, deploy and maintain all components necessary for modeling, including feature engineering, automatic model training tuning and engineering toolchains.Create a comprehensive monitoring framework to evaluate model performance and provide actionable insights to drive business growth, focusing on awareness conversion and transactions.Understand stakeholder business requirements and design end-to-end machine learning/AI solutions that are effective, practical, and robust in addressing business challenges.Collaborate closely with data engineers and backend engineers to develop scalable systems.Communicate efficiently with cross-functional teams, promote the implementation of strategic applications, and drive continuous optimization.

Google welcomes people with disabilities.Minimum qualifications: Bachelor’s in Mechanical/Chemical/Electrical Engineering, Materials Science, or equivalent practical experience with a focus on failure analysis. 4 years of failure analysis experience in the field of consumer electronics, semiconductor devices and package, medical devices, aerospace/defense, solar, or automotive. Experience with running and utilizing lab tools (microscope, EE probing tools). Preferred qualifications: Master's degree in Electrical Engineering, Material Science or equivalent experience with a focus on experimental work. Experience with inspection equipment (X-ray, CT), FIB and SEM. Experience in experimental automation, instrument control, data analysis tools, numerical simulations, or statistical analyses. Experience programming in one or more programming languages or GenAI tools: MATLAB, Python, R, C/C++, JavaScript. Ability to travel up to 25% of the time, including international travel. About the jobThe Failure Analysis and Materials team is responsible for investigating failures across all hardware products made by Google. On this dynamic team, you will work with a team of engineers of all types (mechanical, electrical, optical, materials science, chemical) to solve multi-disciplinary problems relating to hardware failures during product development and from the field. We develop test methods, collaborate with cross-functional partners, and support products from early prototypes through field failures.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 failures in systems, PCBs, discrete components and silicon ICs, including but not limited to: electrical, material, and mechanical failures in design, process, and system integration. Identify failure modes in hardware, by forming failure hypothesis and validation plans with system/circuit analysis, and carrying out the plan experimentally utilizing techniques such as optical microscopy, CT, and electrical probing.  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. Work closely with cross-functional teams to provide actionable recommendations and support corrective actions. 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.

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.

Minimum qualifications: Bachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent practical experience. 5 years of experience in data analysis, database querying (e.g., SQL), and BigQuery. Experience in scripting, working with code, or system design, and in leading projects. Experience mentoring and leading junior engineers. Experience in defining and implementing data governance policies, procedures, and standards. Preferred qualifications: Experience with Data Center Technology or Supply Chain. Experience with data analysis at scale, including statistics, and machine learning model development (data preparation, model selection, evaluation, tuning). Experience in scripting languages like Python for data manipulation, analysis, and automation. Experience with a wide range of data engineering and data governance tools and technologies, including cloud platforms (e.g., GCP), data warehousing solutions, data quality tools, and metadata management systems. Experience with collaborative coding and version control. Knowledge of data privacy regulations and compliance requirements. About the jobThe Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Design, build, and maintain scalable and reliable data pipelines to ingest, process, and store data from various sources.This includes implementing robust data quality checks and monitoring systems to ensure data accuracy, integrity, and reliability. Write complex SQL queries for data extraction and transformation, enable both ad-hoc analysis and automated reporting. Conduct quantitative data analysis to support business decisions and identify opportunities. Partner with business stakeholders to understand their data needs, translate them into actionable technical designs and solutions.This includes collaborating with engineers, program managers, and product managers. Create and maintain dashboards and reports to provide actionable insights to stakeholders. Effectively communicate insights and drive the implementations. Develop tools and systems to automate data processes, and increase overall efficiency. Proficiency in programming languages (SQL, Python), and produce readable and well-structured code. 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.