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國內最大化妝品使用心得及排行榜綜合網站@cosme Taiwan(前身UrCosme,2004年創建)在台營運20年，為國內消費者找尋化妝品使用心得及排行榜綜合資訊的主流網站，隸屬於日本上市公司集團istyle.Inc.。集結豐富的美妝產業資訊及美妝愛好者的行為資料，美妝行銷總研(CMRI)運用此資料庫，以多元觀點進行消費者洞察分享，旨在提供美妝業界趨勢分析洞察。本職缺內容如下： 【CMRI美妝行銷總研】商業數據分析師(BUSINESS ANALYST)1. 透過@cosme站資料庫進行資料分析與消費者洞察。2. 定期舉辦seminar，對外分享美妝產業年度趨勢。(CMRI詳情可參閱：https://cmri.itrue.com.tw)3. 透過DMP資料解析，協助各事業部門發展視覺化dashboard—coseek (https://www.coseek.com.tw)。4. 推進「行銷資料科學與預測建模」之相關專案。 5. 其他主管交辦事項。

【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！ 職涯發展管道：入職新人由專案助理 （Project Assistant）任用，於入職前即確認未來任職團隊，入職後有兩個月針對亞馬遜平台等完整教育訓練。通過考核後依據部門類別晉升或轉任職務。晉升為 營運部 專案經理（Operation Department - Project Manager）：與業務團隊合作，支援產品後台營運，必備技能是獨立解決問題和設計及改善流程的能力。分為業務開發部（Business Development）以及成本控管部（Core Operation）。晉升為 業務部 業務經理（Business Department - Business Manager）：做自己的CEO！管理國外廠商與產品銷售狀況，因應季節性需求客製化各項產品銷售策略、進貨數量與販售價格。轉任為 營運部 經理（Manager）：作為6至10人的主管，制定團隊營運目標，監督與管理成員績效。定期與成員一對一面談（one-on-one）調整工作內容與激勵員工士氣。營運部團隊與職務分配業務開發部（Business Development）：拓展產品通路，提高商品利潤。子團隊如：廣告投放、通路開發、產品上架管理、產品分析管理等。成本控管部（Operations）：降低營運成本，優化貿易流程。子團隊如：訂單審核、物流管理、倉儲管理、客服與品質管理等。工作團隊任務簡述廣告投放：操作亞馬遜平台廣告，如：投放預算、點擊價格與關鍵字通路開發：開發並營運亞馬遜之外等其他電商平台，達成銷售額之成長產品上架管理：撰寫產品簡介、設計關鍵字、修正網頁錯誤資訊與產品圖片維護產品分析管理：開發潛力商品及協助業務制定進貨策略，以維持庫存數量訂單審核：審核採購訂單並調整商品售價以符合銷售策略物流管理：倉庫及海運貨櫃進出口安排，包含庫存管理、訂艙、稅金、進出口程序等倉儲管理：整握全公司庫存庫齡概況，透過調價及不同促銷手法維持庫存健康程度客服與品質管理：針對限制性產品及高退貨率產品處理及建立預防機制營運部教育訓練規劃業務開發部（Business Development）：針對各平台特性與需求安排學習內容，包含基本日常營運操作、銷售預測分析、毛利優化策略等，以利後續發展有效成長策略訂定基礎。成本控管部（Operations）：於訂單審核團隊（Order Review Team）進行部門訓練，審核採購訂單並依據季節性需求調整商品進貨數量，優化審核系統流程及制定銷售策略。工作職責負責制定與監控任務流程，並確保能符合公司規劃。具備設計、開發和發想創新解決方案的能力。具備良好的解決問題、創造力和簡化能力，並擁有良好的溝通和書寫技巧。能有效設計和優化標準作業程序，維持高效率產出。

【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！ 我們提供彈性且暢通的職涯管道，讓你從實習生就能參與重要專案並獨立解決問題！ 1. 職涯發展管道：入職新人由專案助理實習生 （Project Assistant Intern）職位任用，於入職前即確認未來任職團隊，入職後有一個月針對亞馬遜平台完整教育訓練。畢業後若表現優異依據部門類別晉升，晉升為 業務部 業務經理（Business Department - Business Manager）：做自己的CEO！管理國外廠商與產品銷售狀況，因應季節性需求客製化各項產品銷售策略、進貨數量與販售價格。 2. 工作內容： (1)市場洞察與產品開發： 分析市場銷售數據及季節性趨勢，挖掘具有高潛力的商品，精準對接消費需求。 (2)策略性採購支援： 與業務經理合作，制定高效的進貨策略，確保庫存量最適化，並滿足市場需求。 (3)銷售表現追蹤： 持續追蹤產品銷售狀況，及時調整策略，提升銷售表現與增長機會。 (4)利潤分析： 進行詳細的產品利潤分析，根據數據提供最佳採購建議，實現最大化利潤。 (5)定價策略優化： 根據市場變化，實施調整定價策略，確保產品保持競爭力並維持健康利潤率。 (6)流程優化： 持續優化現有工作流程，提升運營效率，支持業務的順利運作。 3.教育訓練規劃 針對各電商平台特性與需求安排學習內容，包含基本日常營運操作、銷售預測分析、毛利優化策略等，以利後續發展有效成長策略訂定基礎。

【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！ 職涯發展管道：入職新人由專案助理 （Project Assistant）職位任用，於入職前即確認未來任職團隊，入職後有兩個月針對亞馬遜平台等完整教育訓練。通過考核後依據部門類別晉升或轉任職務。晉升為 營運部 專案經理（Operation Department - Project Manager）：與業務團隊合作，支援產品後台營運，必備技能是獨立解決問題和設計及改善流程的能力。分為業務開發部（Business Development）以及成本控管部（Core Operation）。晉升為 業務部 業務經理（Business Department - Business Manager）：做自己的CEO！管理國外廠商與產品銷售狀況，因應季節性需求客製化各項產品銷售策略、進貨數量與販售價格。轉任為 營運部 經理（Manager）：作為6至10人的主管，制定團隊營運目標，監督與管理成員績效。定期與成員一對一面談（one-on-one）調整工作內容與激勵員工士氣。營運部團隊與職務分配業務開發部（Business Development）：拓展產品通路，提高商品利潤。子團隊如：廣告投放、通路開發、產品上架管理、產品分析管理等。成本控管部（Operations）：降低營運成本，優化貿易流程。子團隊如：訂單審核、物流管理、倉儲管理、客服與品質管理等。工作團隊任務簡述廣告投放：操作亞馬遜平台廣告，如：投放預算、點擊價格與關鍵字通路開發：開發並營運亞馬遜之外等其他電商平台，達成銷售額之成長產品上架管理：撰寫產品簡介、設計關鍵字、修正網頁錯誤資訊與產品圖片維護產品分析管理：開發潛力商品及協助業務制定進貨策略，以維持庫存數量訂單審核：審核採購訂單並調整商品售價以符合銷售策略物流管理：倉庫及海運貨櫃進出口安排，包含庫存管理、訂艙、稅金、進出口程序等倉儲管理：整握全公司庫存庫齡概況，透過調價及不同促銷手法維持庫存健康程度客服與品質管理：針對限制性產品及高退貨率產品處理及建立預防機制營運部教育訓練規劃業務開發部（Business Development）：針對各平台特性與需求安排學習內容，包含基本日常營運操作、銷售預測分析、毛利優化策略等，以利後續發展有效成長策略訂定基礎。成本控管部（Operations）：於訂單審核團隊（Order Review Team）進行部門訓練，審核採購訂單並依據季節性需求調整商品進貨數量，優化審核系統流程及制定銷售策略。工作職責負責制定與監控任務流程，並確保能符合公司規劃。具備設計、開發和發想創新解決方案的能力。具備良好的解決問題、創造力和簡化能力，並擁有良好的溝通和書寫技巧。能有效設計和優化標準作業程序，維持高效率產出。

【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

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience plus a Master's degree). Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). Experience translating product and business questions into clearly framed investigative projects, extracting and manipulating large datasets, and applying statistical methods. Knowledge of data, metrics, analysis, trends, measurement, statistics and program evaluation, with the ability to solve problems. Ability to present to executives and communicate effectively with highly technical leadership teams. Ability to manage multiple assignments simultaneously in a fluid environment. About the jobHelp serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. Responsibilities Work with large, internal datasets, solve difficult, non-routine analysis problems, applying advanced investigative methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations. Work with stakeholders in Product Management, Engineering and Operation teams to define performance goals, Key Performance Indicators (KPI) and other success measurements. Develop, own and evolve investigative frameworks providing source of truth measures for the organization. Conduct analysis on opportunities and risks, enabling the team to understand trends and prioritize resources. 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.

Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field or equivalent practical experience. 5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of experience with a PhD degree. Preferred qualifications: 8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of experience with a PhD degree. Experience with data, metrics, analysis and trends with the knowledge of measurement, statistics and program evaluation. Ability to learn about Supply Chain Operations. Excellent problem-solving and business judgment skills. About the jobThe Cloud Supply Chain Data (CSCD) Data Science and Product team build productivity and data products, develop Artificial Intelligence (AI)/Machine Learning (ML)/statistical models and provide insights to help Cloud Supply Chain and Operations (CSCO) define and achieve business goals.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Develop machine learning and statistical models to detect anomalies, forecast trends, classify patterns and optimize processes in Google Cloud Supply Chain and Operations. Deliver investigative problems with guidance structuring approach and conduct exploratory data analysis, inform model design, and development. Plan and execute prioritized project work, including selecting appropriate methods and advising on opportunities to improve data infrastructure. Identify and recommend ways to improve solutions to problems by selecting better methods or tools. Identify issues with scope, data, or approach. Escalate issues to be addressed by stakeholders and communicate, present insights, and recommend actions to stakeholders. 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.

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 5 years work experience with a Master's degree. Preferred qualifications: Advanced degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Experience with conceptualizing and implementing scalable data pipelines. Experience with statistical packages (e.g., R, Python, etc.) to perform forecasting, segmentation, and classification. Knowledge of basic statistics and commonly used statistical methods (e.g., hypothesis testing, regression, cohort analysis, etc.). Strong data visualization skills, including building dashboards and visualizations for business reviews and executive-level presentations. About the jobHelp serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. Developer and Sustainability team’s mission is to apply data science to enable Geo in driving developer growth and planetary sustainability. We enable driven decision making across the Geo Makers organization (made up of Geo Developer and Geo Sustainability areas) to influence strategy, drive impact and unlock sustainable product growth.Responsibilities Lead the transformation of our self-serve analytics platform by introducing new metrics and drill downs to assist with self-serve diagnostics at scale, and driving integrations with GenAI tooling (NotebookLM, SQLMiner) to scale insight generation capabilities. Utilize technology to address new problem areas with segmentation analysis, recommender systems and GenAI applications. Build self-serve tooling and dashboarding to enable data driven decision making across the organization at scale. Collaborate on in-depth analytical projects, uncover insights and evaluate headroom to drive product enhancements which improve our developer experience. Surface insights around emerging markets (India and other APAC countries) that help teams understand users and guide global data improvement strategy. Design, execute and analyze experiments to evaluate growth levers and regional launches. 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.

Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree. Preferred qualifications: 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 articulating and translating business questions and using statistical techniques to arrive at an answer using available data. 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. The team's mission is to protect Android users from abusive apps, including malware, content abuse, impersonation, and behavioral abuse. As a Data Scientist on the App Safety Engineering (ASE) team, you will work with multiple stakeholders across product, engineering, and operation teams to conduct data research, build methodologies into production systems to drive ASE key decisions and development. You will be responsible for translating data into recommendations and implementing process improvements.Responsibilities Work with datasets, solve non-routine analysis problems, and apply quantitative methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, model development and evaluation, as well as written and verbal delivery of results to business partners. Collaborate with stakeholders in Product Management, Engineering, and Operation teams to define questions, objectives, and metrics, identify and implement quantitative methods to answer those questions. Develop, own, and evolve methodologies and frameworks providing a source of truth measures for the organization. Establish comprehensive understanding of the production systems, advocate for changes where needed for product development, and build data driven solutions to faciliate the efficacy improvement. 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.

Minimum qualifications: Bachelor's degree in Engineering, Math, Quantitative Science, or related technical field, or equivalent practical experience. 1 year of experience in statistical problem solving and analyzing data sets using SQL or comparable coding language (e.g. Python, R, Java, C++). 1 year of experience collecting, managing and synthesizing data sets and information from disparate sources to perform data analysis and statistical modeling. Preferred qualifications: 5 years of experience in an investigative role. Experience working with tech teams to optimize machine learning models. Experience in project management and process optimization with data analytics, delivering production level metrics, insights, and actions. Experience working with programming languages such as, Python, Java, JS, R or SAS. Experience with abuse prevention, policy, and regulatory systems. About the jobIn this role, you will analyze huge sets of data and support scaled systems of review to address those challenges. You will empower Google to enhance the efficiency and accuracy of the operations, resolve unique legal challenges at scale and streamline complex workflows, and support and educate internal stakeholders. You are an independent, critical thinker with sound metrics judgment who has a passion for coaching others, solving technical challenges, and setting scalable standards. You can balance the short-term requirements Google faces while demonstrating the ability to see the big picture and make quantitatively based long-term recommendations accordingly.You may be required to review graphic, controversial, and sometimes offensive video content during team escalations in line with YouTube’s Community Guidelines; however, such occurrences would be very rare chance encounters. You may also occasionally be required to work on-call or weekend hours.Responsibilities Drive analytics efforts to meet the challenges of international regulation such as Article 17 of EUCD by providing rigorously productionalized transparency data to bolster YouTube’s external copyright narrative, as well as detailed analytics of EU copyright operations to help executive Ops and Legal stakeholders monitor risk. Apply advanced statistical methods to complex data sets in an effort to predict and prevent abuse of the copyright notice and takedown process. Work with cross-functional abuse teams to develop shared strategies to address similar abuse vectors or bad actors. Learn complex and technical concepts, systems and deliver meaningful results using them. Communicate highly technical results and methods clearly. Maintain, foster and promote Copyright Operations quality by providing regular feedback metrics to global review teams. Manage technological solutions for streamlining quality assurance and produce scalable training solutions. 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.