Job Summary: The Specialist will be responsible for driving digitization and datadriven operating model (DDOM) to the dealing room by providing technical expertise in the areas of data analysis, digital solutions, and automation. This role will work closely with cross BU/SU and cross-country colleagues to identify business opportunities for digital solutions, advanced analytics, and machine learning techniques to improve customer experience, internal efficiency, and drive revenue growth. Responsibility: ★ Collaborate with the dealing room team and other departments to identify and collect relevant data to develop new strategies and tactics based on market insights and data analysis in compliance with regulatory requirements and internal policy ★ Maintain the local T&M data pipeline within ADA to support all analytics and modelling from enterprise ADA ★ Align to regional change management framework for data to be adopted into Taiwan ★ Work with overseas data colleagues in Hong Kong and Singapore and to port over analytics tools and models fit for local Taiwan T&M use ★ Analyze data to identify trends, opportunities for revenue growth, and areas for improvement ★ Apply statistical modeling and machine learning techniques to develop predictive models and algorithms to drive business outcome ★ To work with internal/external teams on exploring or creating new business models to drive new revenue streams ★ Manage implementation of digital solutions with clients ★ Communicate findings and recommendations to stakeholders in a clear and concise manner ★ Conduct research and stay up-to-date with industry trends and best practices in data analysis, digital solutions, and automation, and provide recommendations for new tools or platforms that could benefit the dealing room ★ Work with marketing and product management teams to drive revenue growth and client acquisition through digital channels ★ Perform other related duties as assigned

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 for SHOPLINE merchants 【Who we are looking for】 - Fluent in Python and SQL, experience in api framework (Flask, FastAPI, Django) is a plus - Expertise in hands-on ETL job design and development (Apache Airflow preferred) - Proficient in SQL and NoSQL databases, experience in PostgreSQL / BigQuery / MongoDB is a plus - Experience in working with cloud services such as AWS / GCP, data related services preferred - Knowing how to work with big data tools or stream-processing system, such as Apache Kafka, Apache Flink, Debezium, and etc - Familiar with Linux/Unix environments, developed with Docker / Kubernetes - It’d be a plus if you’re familiar with the e-commerce industry and rich experience in data analysis

• Partner with Franchise, Customer Management team and also Product Team to formulate business strategies and using data insights to drive Treasures Acquisition, Engagement and Transaction • Develop and maintain Control Tower, utilize Data Driven Operation Model (DDOM) to maximize value from data and drive strategies deliver business outcomes. • Create visualizations and present clear, concise, and actionable insights to the key stakeholders, lead discussions on analytics and interpretation of results • Develop models and data insights to plan and drive the customer interactions

Amazon Web Services (AWS) is a fast-paced technology company and a leader in the world of data centers. We are looking for senior technical engineers who are interested in joining an elite team and eager to learn the skills necessary to maintain one of the world‘s largest IT infrastructures in AWS Data Centers. Key job responsibilities •7x24 roster duty in data center operations •Incident first responder and onsite hands-on support •Break-fix and troubleshoot technical issues on all systems, hardware and network devices •Develop and customize local process guidelines to enhance operations efficiency •Take up small scale local initiative and deliver according to agreed timeline •Capacity landing and decommissioning •Maintain proper media operations according to process guideline •Network cabling include optics, fiber and copper cables •Enforce Amazon Security and Safety policies and best practice •Site management and operation •Innovate and contribute from day-to-day operation experiences to improve operation efficiency.

The Inventec Digital Center is a research and development facility for all things related to Digital Transformation, Data-Centric AI, and Trustworthy AI. Our primary mission is to influence and empower business and corporate units with digital knowledge constructively and collaboratively. We are responsible for implementing the digital strategy, discovering insights from the data, and executing them in the company. We are a team with a broad spectrum of talents, including project managers, data scientists, AI researchers, and software engineers. The group is a flat organization, and we frequently collaborate with colleagues outside of our center, academic consultants, and business partners outside of the company. Our members thus enjoy the unique opportunity to publish in top-tier academic venues, author technical patents, and produce real-world impacts during their career in the center. 1. Anchor the stakeholders‘ or users’ problems to conceptualize and prototype improvements with company data assets. 2. Lead technical delivery on prototype analysis pipelines including but not limited to data collection, analytical method development, and presentation. 3. Capture data-added value by discovering opportunities for new methods or applications. 4. Coordinate projects and interact with cross-functional departments to enable a data-driven culture and make company data comprehensive, approachable, and trustworthy. 數位中心為一研究與發展部門。主要負責公司數位轉型以及資料驅動／人工智慧專案／可信賴人工智慧的開發。我們與公司各單位／部門合作，從資料出發，發現資料中隱含之潛力與價值，進而提出具有建設性的建議。除了公司內部各單位／部門，數位中心也頻繁的與外界產學單位合作，其中包含國內外知名大學、企業合作夥伴。中心主要工作內容包含但不局限於數位決策、挖掘資料價值、以及系統落地與執行。中心組織結構扁平，直屬於部門主管，部門同仁多元且合作密切，涵蓋專案經理、資料科學家、人工智慧研究員、以及軟體工程師。數位中心鼓勵中心同仁將成果投稿至學術會議與期刊、技術專利並期許產出能對世界產生影響 工作內容： 1. 資料結構分析: 釐清資料定義、剖析資料特性、整合資料、資料視覺化 2. 問題的定義和判別: 發掘與分析問題，提出觀察與建議，並與團隊合作建立機器學習模型演算法 3. 研究及執行可數據驅動的解決方案: 實作並改良機器學習技術，分析並建構研發、製造、營銷、管理等數據指標 部門額外福利： 【專業延伸】定期舉辦讀書會，部門同仁自發性地講解不同的專業知識，延伸同仁的技能組。 【接軌國際】鼓勵同仁參與國際會議，定額補助國際會議的差旅支出。數學統計學門,電算機學門,電機工程學類

Data engineer with Python + BigQuery Descriptions: • API development with Python interfacing BigQuery + MySQL • Optimize application for maximum speed and scalability Requirements: • At least 2-3 years of experience in Python on Google Cloud Platform development • Well verse in databases, SQL, MySQL and BigQuery • Excellent knowledge with API development • Testing / debugging / quick diagnosing with API • Excellent analytical and problem-solving abilities • Preferred candidates with bachelor’s degree in IT, computer science, mathematics, or related designing fields. Soft skills: • Team player with positive altitude and professional work-ethic • Self-motivated individual who can work independently if needed • Result oriented mind-set • Able to communicate in English would be an added advantage • Common sense is a must

1. 保護標的物內之人身及財產安全。 2. 人員出入管制及身份確認、透過檢查身分/識別證徽章進行存取控制。 3. 事件報告和回應行動符合公司政策和準則。 4. 監控環境並阻止可疑和不安全的活動。 5. 了解緊急程序、設備和物資。 6. 建築物和區域內/周圍巡邏。 7. 簡易文書操作及報表統整。 8. 須具備基本英文能力。

Infosys is looking for Data Engineers in Taiwan. RESPONSIBILITIES: • Develop and maintain a perfect data pipeline design. • Improve internal processes by identifying, planning, and putting them into practice. Examples include automating manual operations, improving data delivery, re-designing infrastructure for increased scalability, etc. • Create the infrastructure essential for effective data extraction, conversion, and loading from a wide range of data sources. • Create data lineage to track and visualize the data flow of source and target datasets. • Create massive, complicated data sets that satisfy both functional and non-functional business objectives. • Construct analytics solutions that utilize the data funnel to offer actionable insights into gaining new customers, improving operational effectiveness, and other crucial company performance indicators. • Assist stakeholders, such as the Executive, Product, Data, and Design teams, with technical data-related challenges and provide for their data infrastructure requirements. • Maintain the privacy and security of data • Develop data tools • Work with cross teams to improve the operation of our data systems. SKILLS/COMPETENCIES • Degree in Computer Science, IT, or similar field • 5+ years of experience • Previous experience as a data engineer or in a similar role • Technical expertise with, data mining, analysis and API • Familiar with Tableau or Power BI • Great numerical and analytical skills Additional Skills: • Proficient in Mandarin Chinese • Strong attention to detail • Ability to take responsibility for action and outcomes • Ability to stay informed of current industry trends and learn new concepts • Good problem solving skills • Requires knowledge and experience in own discipline; still acquiring higher level knowledge and skills • Builds knowledge of the organization, processes and customers • Solves a range of straightforward problems • Analyzes possible solutions using standard procedures • Receives a moderate level of guidance and direction MUST Have: • Java and/or Python • ETL/ELT tool: Informatica • Advanced SQL or PLSQL • Deep understanding of relational database(Oracle) • Experience in handling structured/semi-structured data • Familiar with Big data tools and Cloud data solutions. All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer. Please note in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third party vendors. In the absence of a signed agreement any submission will be deemed as non-binding and Infosys explicitly reserves the right to pursue and hire the submitted profile. All recruitment activity must be coordinated through the Talent Acquisition department.資訊工程學類

＊請至 【https://mobagel.typeform.com/to/ojShbwVv】 投遞履歷，於1111 投遞者恕不受理，謝謝你的協助＊ 1. Research, prototype, build, and maintain machine learning models to solve business problems. 2. Launch models to production and support machine learning platform development. 3. Perform exploratory analyses to scope high-value opportunities. 4. Build and maintain complex Airflow DAGs or equivalent to meet changing modeling, product, and engineering requirements. 5. Adhere to best software development practices. 6. Write technical documentation and share technical knowledge and decisions with the team.

• Design and implement software systems and tools for internal process automation based on data mining and machine learning techniques. • Design, implement, and operate data analytics platforms for business intelligence analysis. • Provide data insights and develop data intelligence solutions/reports for business decisions. • Work with other teams to assist with data-related technical issues and support their data infrastructure needs. • Evaluate and identify the use of new or existing software products and technologies. • Perform other duties as necessary.

• Discover insights from a wide variety of data sources for potential business decisions. • Collaborate across marketing, business operations, and business leaders to understand business questions. • Create detailed report based on data mining and data visualization for business requirement. • Perform other duties as necessary.資訊管理學類,資訊工程學類,數理統計學類

協助客戶對數據系統進行技術評估，並設計數據驅動的企業路徑為宗旨。透過數據轉型創建技術、安全無虞的架構與設計藍圖，結合現代數據技術和雲端服務，展現數據價值。在這份工作你會接觸地端數據工程與雲端數據工程，著重於零售數據系統之穩定性。歡迎追求系統優化、效能精進有興趣之人才，與我們攜手打造貼近客戶運用之數據服務。 【工作內容】 1. 熟悉資料倉儲與數據湖概念，進行數據清洗、資料整備等相關數據轉換與整合。 2. 熟悉數據工程的ETL流程，處理數據開發、自動化、測試、監控、佈署等相關技術解決方案。 3. 維運和規劃大數據處理系統，以確保日常數據的運作品質之傳輸性、高效性和準確性。 4. 與infra團隊合作，檢視數據存儲和數據架構的設計和維護，以確保數據的安全性和可擴展性。 5. 與零售數據專家領域緊密合作，以確保數據分析的準確性和可靠度。 6. 數據系統囊括雲端與地端技術。 7. 其他主管交辦事項。 【經驗需求】 1. 具備兩年以上數據系統開發與維運管理經驗。 2. 具備兩年以上使用Python和數據庫管理（SQL和no-SQL）的經驗。 3. 具備大數據系統維運和機器學習工具（Scikit-learn、Pandas）的經驗。 4. 具備數據倉庫的設計和實踐經驗，如 SSIS、Analyzer、Redshift、BigQuery 等。 【技能需求】 1. 熟悉SQL/PostgreSQL/Stored Procedure使用與撰寫經驗。 2. 熟悉Python程式開發經驗。 3. 熟悉數據排程、處理、清洗、製作報表的實務經驗。 4. 熟習常用的 Open Source 工具實務經驗。 5. 擅長解決問題、除錯、故障排除，提出問題解決方案。 Assist clients in conducting technical assessments of data systems and design data-driven enterprise solutions. Create secure and modern architectures and design blueprints by leveraging data transformation and integrating modern data technologies and cloud services to unlock the value of data. In this role, you will work on both on-premises and cloud data engineering, with a focus on the stability of retail data systems. We welcome individuals who are passionate about system optimization and performance improvement, and who are interested in collaborating with us to build data services that align closely with customer needs. 【Job Description】This position is part of the Data Center Team. 1. Familiarity with data warehousing and data lake concepts for data cleaning, data preparation, and related data transformation and integration. 2. Familiarity with ETL (Extract, Transform, Load) processes in data engineering, covering data development, automation, testing, monitoring, deployment, and related technical solutions. 3. Maintenance and planning of big data processing systems to ensure the quality of daily data transmission, efficiency, and accuracy. 4. Collaboration with the infrastructure team to review data storage and data architecture design and maintenance to ensure data security and scalability. 5. Close collaboration with retail data experts to ensure the accuracy and reliability of data analysis. 6. Involvement in both on-premises and cloud technologies for data systems. 7. Other tasks assigned by the management. 【Experience】 1. Minimum of two years of experience in data system development and maintenance. 2. Minimum of two years of experience using Python and database management (SQL and NoSQL). 3. Experience in big data system maintenance and machine learning tools (Scikit-learn, Pandas). 4. Experience in data warehouse design and implementation, such as SSIS, Analyzer, Redshift, BigQuery, etc. 【Skills】 1. Proficiency in SQL/PostgreSQL/Stored Procedure usage and writing. 2. Proficiency in Python programming. 3. Practical experience in data scheduling, processing, cleaning, and report generation. 4. Proficiency in using common open-source tools with practical experience. 5. Strong problem-solving, debugging, and troubleshooting skills with the ability to propose solutions.資訊工程學類,資訊管理學類,其他數學及統計學類

• Minimum 10+ years of experience with 5+ years into Data Architectural principles • Perform architecture design, data modeling, and implementation of Big Data platform and analytic applications. • Experiences in data governance design • Experiences in data lifecycle management • Analyze the latest Big Data Analytic technologies and their creative applications in business intelligence analysis. • Good appreciation and at least one implementation experience in Big Data i.e. Spark, Storm etc • Exposure to varying databases NoSQL, Cloud Storage Object, Relational Database (Oracle). Be able to cite implementation experiences constraints and performance challenges in practice • Good knowledge with infrastructure, network, hardware and software • Experiences in electronics industry is a plus

The Clinical Data Analyst is responsible for scientific programming in data validation, dataset transformation, and statistical analysis programming. Also, the Programmer supports data management or statistical activities for projects, if needed. Qualified individuals must have a bachelor‘s degree in statistics, biostatistics, mathematics, public health, or related field, or have 0-2 years of pharmaceutical experience in drug research and development. An advanced master’s degree is preferred. Knowledge of Statistical Application Software (SAS) or other programming language is required. The knowledge of Clinical Data Interchange Standards Consortium (CDISC) standards is preferred. 無工作經驗者月薪36000~42000元數學統計學門,資訊科學學門,公共衛生學類

The Data Manager is responsible for all clinical data management tasks, database design, EDC construction, status report preparation, and supports scientific programming. Qualified individuals must have a bachelor‘s degree in statistics, biostatistics, mathematics, nursing, epidemiology, or related field, or have 0-2 years of pharmaceutical experience in drug research and development. Knowledge of Statistical Application Software (SAS) or other programming language is required. The knowledge of Clinical Data Interchange Standards Consortium (CDISC) standards is preferred. 無工作經驗者月薪28000~32000元數理統計學類,公共衛生學類,醫學學類

1.跨部門溝通, 了解及收集使用者報表需求 2.深入了解及理解公司所有報表內容並進行優化 3.依使用者需求, 開發彈性報表使用界面 4.使用 SQL 產出相關分析報表 5.資料數據分析與邏輯運算作業 6.專案簡報及系統文件選寫

1.具多項能力優先錄用 2.熟資料取得技術(ETL)-爬蟲技術/SQL語法/其他Python Library 3.熟資料預處理技術(EDA)-熟Python程式語言 4.資料視覺化(Data Visualization) 5.數據儀表板(DashBoard)建立-Power BI/Tableau 6.熟特徵工程(Feature Engineering)技術

Job Purpose： 1. To support the profitable growth of the Secured Lending products (Mortgage Loan & Trust Lending) in the Consumer Banking business. 2. To frame the lending policy, Risk Appetite framework; bureau and score use strategies, portfolio analysis in TW. 3. To ensure controls over implementation of policy. Ensure that the adequate infrastructure (scorecards, systems, validations, MIS etc) is in place to manage portfolio properly. 4. To design and execute tests that will enable future growth, strategy optimization, expense savings, or process enhancements. 5. To ensure compliance with Regional/Group Policy and relevant risk related regulations; ensure compliance with local regulation. Key Accountabilities: 1. To roll-out/enhance the credit lending framework including policies, processes, MIS, controls, etc for the Secured Lending business in TW. 2. Monitor and validate credit policies, processes, MIS, controls across program and customer lifecycle. Develop tracking standards and review actual results versus benchmark/target with full analyses of any variances. 3. Working with the Group/Regional Risk teams in evaluating policy change requests and further implement and execute policy strategies. 4. Identify opportunities to enable digitalization and innovation in credit cycle management processes in acquisition, data analytics and portfolio management. 5. Support strategic vision for a new operating model in CBG Credit, focusing on innovation, analytics and future-skilling. Job Duties and Responsibilities: 1. Manage policy / processes for Secured Products (Mortgage Loan & Trusting Lending) 2. Co-work with BU in the preparation & implementation of product programs for Secured Products. 3. Facilitate regular asset quality reviews with provision of analytics insights to identify risks/ opportunities and recommend relevant actions 4. Ensure credit policies and program risk acceptance criteria are reviewed regularly, with timely updates for proactive adaptation to changes in legal /regulatory requirements, business strategies, market environment or portfolio performance 5. Drive portfolio management initiatives through the credit cycle management framework by working in partnership with product managers, credit systems team, credit operations team and collection team 6. Work in partnership with credit systems support team to implement key credit policy criteria in relevant credit acceptance & evaluation systems 7. Escalate on timely basis significant risk issues to business management and manager for taking appropriate remedial actions 8. Ensure timely completion of RCSAs including appropriate action plans to address identified control gaps 9. Ensure issues/action plans arising from Risk & Control Self-Assessments, risk events, KRIs, regulatory inspections or other risk issues are properly followed up. 10. Provide support to ongoing/pipeline digital lending projects including Ecosystem partnership initiatives.商業及管理學門,經濟學類

【工作內容】 1.進行Docker容器管理和部署AI服務 2.使用K8S部署AI應用程序的容器服務 3.建立和管理AI應用程序的通知與服務 4.設計與管理AI向量數據庫，用於LLM向量搜索和查詢 5.使用Kafka框架實現AI數據流 6.使用RESTful API實現AI應用程序的實時數據傳輸 【技能需求】 1.英語聽、說、讀、寫流利 2.熟悉AWS或GCP 3.熟悉Python程式開發數理統計學類,經濟學類,一般商業學類

1. 利用數據分析技術(如: 訊號處理、機器學習、深度學習、統計與作業研究等但不限於)，建立設備狀態/製程品質/排程最佳化相關分析服務並實際應用於台達內外部專案上。 2. 設計、協助及管理資料分析及最佳化專案、培訓等業務推動。 3. 參與智慧製造、智慧企業等產業轉型專案，針對上述範疇內之設備/裝置共同討論與研究正確的可分析數據，並協助設計分析流程(含資料採集、邊緣運算分流、演算法選用等)。 4. 建立分析模組化/自動化(CI/CD)等相關MLOPs服務，加速分析服務落地應用。數學統計學門,電算機學門,工程學門