（Sr.) Data Scientist (資深)資料科學家

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！ 有興趣者請至以下網站申請：https://17live.bamboohr.com/careers/793 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 如果您具備以下工作技能及工作經驗，請不要猶豫立即手刀提出申請： 1. 3年以上數據科學，數據分析，商業智能或相關領域的經驗； 2. 具有以數據導向的思維方式處理實務問題的經驗，例如定義指標，量化目標和假設檢定； 3. 具有使用各種估計/預測/最佳化方法從大量數據中找出可影響商業行為見解的經驗； 4. 能夠根據令人信服的數據結果對非數據技術的聽眾進行匯報； 5. 具有程式技能，例如Scala，Python或R； 6. 精通可視化工具以交付解決方案，例如Tableau，Power BI或Superset； 7. 注重細節的團隊合作者，具有良好的溝通能力． 加分條件： 1. 數學，統計學，計算機科學或量化相關領域的學位(碩士/博士)； 2. 有使用過機器學習技術的經驗在mobile app或直撥行業的工作經驗； 3. 優秀的中文和英文書面及口頭交流能力； 4. 具備資料科學專案實務經驗． 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) Requirements: 1. 3+ years of experience in data science, data analytics, business intelligence, or relevant fields; 2. Experienced in formulating real world problems through data-oriented mindset, such as defining metrics, quantifying objectives, and testing hypothesis; 3. Experienced in finding out actionable data insights from large amount of data using various estimation/prediction/optimization methodologies; 4. Capable of telling stories based on convincing data results for technical and non-technical audiences; 5. Versed in programming skills, such as Scala, Python or R; 6. Proficient in delivering solution through visualization tools, such as Tableau, Power BI, or Superset; 7. Detail-oriented team player with great communication skills. Nice to have: 1. Master/Ph.D. degree in mathematics, statistics, computer science or quantitative related fields; 2. Working experience in mobile app or live streaming industry; 3. Excellent written and verbal communication skills in Mandarin and English; 4. Good sense of data science project life cycle.