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    --- title: Info2021 Homework 4 tags: 資訊科技產業專案設計, interview --- # 2021 年「資訊科技產業專案設計」課程作業 4 > 編輯者: P助 / Pisuke > 持續更新中 ## 相關工作職缺項目 ### Data Scientist ### [Line Data Scientist](https://careers.linecorp.com/jobs/326) **Responsibilities:** - Data exploration and opportunity discovery through data analysis and machine learning. - Through data analysis and machine learning to solve key problems, and provide strategic suggestions. - Responsible for establishing AI big data system project and assisting in the introduction of business processes. **Basic Qualifications:** - Master degree or above, information engineering, information management, mathematics, statistics, electrical engineering related subjects. - Experiences in machine learning, deep learning, and AI. - 3+ years of development experiences in Python and R language. - Practical experience in Kaggle is preferred. ### [TSMC Data Analyst & Data Scientist ](https://www.104.com.tw/job/76wyb) **Responsibilities:** Application of statistics, Machine Learning, Data Mining, pattern recognition and other data analysis techniques to collect, explore, and extract insights from very large scale structured and unstructured data and summarize the results by data visualization tools to support fab operations. **Qualifications:** - Master degree or above with major in Computer Science, Information Engineering, Industrial Engineering, Statistics, Mathematic or related fields. - Self-motivated, integrity and result-oriented personality. - Great communication skills. - Experience with analytics packages and program development using Python, R, SAS, Matlab, C/C++/C# and Java etc. - Strong background in data analytics (applied statistics, operation research, data mining, machine learning, artificial intelligence) and big data technologies. ### [IBM (2022 Campus Hire) Associate Data Scientist](https://careers.ibm.com/job/14222416/-2022-campus-hire-associate-data-scientist-taipei-tw/?codes=IBM_CareerWebSite) **Role and Responsibilities:** Data Scientist will work on a variety of research and development projects leveraging multiple analytical techniques (data mining, text mining, and deep learning). Scope of projects will include Marketing, Merchandising, Customer Analytics, and Image/Video Recognition. - Collaborate with a global Data Science team to develop and implement methodologies - Work with solution leaders and engineers to ensure understanding of analytical requirements - Ensure that all algorithms scale and if needed can be executed in real time - Engage with customers to understand their business problems **Qualifications:** - Statistical Knowledge such as regression, time series, mixed model, Bayesian methods, clustering, etc., to analyze data and provide insights - Experience with large-scale, real-world problems on data science; deep learning modeling experience, such as CNN, RNN, LSTM and frameworks include TensorFlow, Keras - Demonstrated communication skills; comfortable speaking with scientific and business audiences at all levels of an organization - Basic understanding of programming language for analytics such as R, Python, Matlab, Scala - Fluent English and Mandarin communication - Less than 2 years full-time work experience ### [Shopee Data Analyst 數據分析師 (Data Support Team) / Business Intelligence 數據分析部門](https://www.linkedin.com/jobs/view/2758717334/?alternateChannel=search&refId=3hA4Zm99K6NSPGND8x2Y7A%3D%3D&trackingId=UZVDpo6TWR%2BZzx3EoML%2FIw%3D%3D) **Role and Responsibilities:** - Agile data provision to support campaign operation and strategy planning. - Design and streamline data provision process to offer accurate and reliable data at minimum computing resource and maintenance effort. - Provide data consultation to other business departments on analysis metrics, data application and current database collections. - Work together with other data teams and business departments on report design, metric defining and insight finding to collaboratively improve performance tracking. - Partner with regional colleagues as local report owner in providing local insights and synchronizing data quality with regional standards. **Qualifications:** - 1+ year of experience in data-related fields. - Proficiency and hands-on experience in SQL, capable of managing large codes with multiple joined tables. - Comprehensive understanding of data structure with slick sense to translate business inquires to practical data. - Resistance to tight time constrictions with an internal drive to improve on speed and efficiency. **Preferred Qualifications:** - Educational background in business, statistics or computer science is a plus but not a must. - Basic knowledge and coding capability in Python is a plus. ### [appier Data Analyst](https://boards.greenhouse.io/appier/jobs/1501726) **Role and Responsibilities:** - Interpret trends or patterns from complex data sets by using statistical and visualization tools. - Conduct data analysis reports to illustrate the results and insight - Working with scientists and engineers to monitor and diagnose the system - Develop tools and systems that optimize analysis process efficiency and report quality. **Qualifications:** [Essential] - University degree in related field - Good analytical skills to extract meaningful insights from the data. - Good ability to communicate data analysis insight to audiences with different background. - Proficient oral and written communication skills in English. - Analytical skills and tools: Statistics knowledge and skills, using SQL to do basic data extraction and aggregation, Spreadsheet/Excel.(must) - Machine Learning skills: sufficient know-how of machine learning and basic experience of using machine learning tools.(must) - Programming skill: can write Python scripts for simple job automation.(must) [Nice to have] - Working experiences in digital advertising industries. - Hands-on experience in utilizing analytic/visualization tools (SQL, R, Tableau). - Advanced Python programming: e.g. able to do complex analysis using Python. - Experience in writing Spark programs for data analysis. ## Assessment ### Data Analyst Job - Programing language : Matlab, Python (R,SAS,SQL,C/C++/Jave...) - 實作 large-scale, real-world problems on data science - Machine learning and Deep learning modeling experience, such as CNN, RNN, LSTM ... - 優化資料分析演算法 apriori algorithm, FP-growth... - 分析後能夠提供符合當地市場的商業策略 ### Self-assessment - 目前處理從醫院收來的資料,data scale 很小 - 目前修讀 Data mining、Deep learning 相關課程,練習處理、分析 kaggle 上的 dataset - 練習參加比賽 - 玉山人工智慧公開挑戰賽2021冬季賽 - 信用卡消費類別推薦 - 目前持續學習使用 Matlab、Python 練習使用經典 CNN 演算法 (Alexnet, GooeLenet,Resnet50) - 缺乏資料庫語言(SQL) - 缺乏資料結構相關知識 - 缺乏系統設計經驗(如使用 Python 串接 API,自動化整理資料...) - 缺乏儀表板設計經驗 - 缺乏 AB test 經驗 ## 相關面試整理 ### IBM Associate/Data Scientist #CampusHire - [面試準備全攻略](https://medium.com/@f0925827218/ibm-associate-data-scientist-campushire-%E9%9D%A2%E8%A9%A6%E6%BA%96%E5%82%99%E5%85%A8%E6%94%BB%E7%95%A5-4adcc9498270) - [2019 IBM Campus Hire面試心得](https://pttcareers.com/Soft_Job/1StP4REE) - :::info 其他參考資料 [2019冬_數據分析相關求職面試經驗](https://medium.com/%E6%95%B8%E6%93%9A%E5%88%86%E6%9E%90%E6%B1%82%E8%81%B7%E7%B4%80%E9%8C%84/2019%E5%86%AC-%E6%95%B8%E6%93%9A%E5%88%86%E6%9E%90%E7%9B%B8%E9%97%9C%E6%B1%82%E8%81%B7%E9%9D%A2%E8%A9%A6%E7%B6%93%E9%A9%97-2ef26d6ecbe5) [數據科學家/資料分析師 面試經驗分享](https://justjun0321.medium.com/%E6%95%B8%E6%93%9A%E7%A7%91%E5%AD%B8%E5%AE%B6-%E8%B3%87%E6%96%99%E5%88%86%E6%9E%90%E5%B8%AB-%E9%9D%A2%E8%A9%A6%E7%B6%93%E9%A9%97%E5%88%86%E4%BA%AB-data-scientist-data-analyst-interviews-experience-6d2c7ffce4b4) [2019 Data Scientist 面試心得](https://ethan-cychen.medium.com/2019-data-scientist-%E9%9D%A2%E8%A9%A6%E5%BF%83%E5%BE%97-dea5ead43d2d) [数据分析面试汇总,持续更新中。。。](https://zhuanlan.zhihu.com/p/115499116) :::

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