台北市中山區3年以上大學
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!
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. 具有編程技能,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.