Data scientist Data Scientists
職業代碼: 15-2051（SOC） 技術移民職業 總體 7.3/10
Data scientists use programming, statistics, and machine learning to extract insights from large volumes of structured and unstructured data, supporting business decisions.
評分 · 總體 7.3/10i
In the AI era: what happens to Data scientist
AI對數據分析師的影響喜憂參半：數據清洗、基礎報表生成等任務將被自動化，但策略解讀、業務溝通和跨部門協調能力更難替代。
- 數據清洗與預處理（如缺失值填充、格式轉換）
- 標準報表與儀表板生成（如週報、月報自動更新）
- 簡單統計分析與假設檢驗（如t檢驗、相關性分析）
- SQL查詢與重複數據提取
- 基礎可視化圖表創建（如柱狀圖、折線圖）
- 利用AI自動探索數據特徵，加速發現隱藏模式與異常
- 透過自然語言查詢資料庫，降低技術門檻
- AI輔助生成分析報告草稿，分析師聚焦於洞察提煉
- 自動化特徵工程，提升機器學習模型構建效率
- 實時數據監控與預警，支持即時決策
- 業務問題定義與假設構建
- 數據故事化與戰略建議溝通
- 跨部門協作與變革推動
- 倫理判斷與數據偏見識別
- 邏輯推理與因果分析
- 高級統計與因果推斷方法（如A/B測試設計）
- 數據工程與大數據技術（如Spark、Airflow）
- 機器學習模型部署與MLOps
- AI工具應用（如AutoML、Copilot）
- 業務戰略與領域知識深耕
- 資料視覺化設計與互動式儀表板進階技巧
入門崗位（如初級數據分析師、報表專員）因AI自動化數據整理和可視化而變窄，企業更傾向僱傭能結合業務的高級分析師。
從數據分析師升級為數據策略師或數據產品經理：掌握自動化和AI工具後，重心轉向定義數據策略、推動數據驅動文化、設計數據產品。學習端到端數據專案管理和業務影響力評估，成為連結技術與決策的關鍵角色。
薪資
| 經驗 | 年薪 (USD) | |
|---|---|---|
| 初級（0-3年） | $95,000 ~ $125,000 | Typical starting salary around $95,000-$125,000 |
| 中級（3-7年） | $125,000 ~ $160,000 | Median salary approximately USD 140,000 |
| Senior (7+ years) | $160,000 ~ $220,000 | Senior or supervisor roles can exceed $200,000 USD |
教育路徑
| 階段 | 時長 | 費用 (USD) |
|---|---|---|
| Bachelor's degree | 4年 | $40,000~$150,000 |
| Master's degree | 2年 | $30,000~$120,000 |
資格
| 學歷 | 發證機構 | |
|---|---|---|
| Bachelor's degree in Computer Science/Statistics/Mathematics | University | 必需 |
| Python/R/SQL programming skills | Self-study or certification | 可選 |
| Machine learning certification | Coursera/edX, etc. | 可選 |
移民
Occupation classification code: 15-2051（SOC）
| 簽證 | 詳情 |
|---|---|
| H-1B H-1B Specialty Occupation | Common work visa, requires a bachelor's degree or higher, with annual quota and intense competition. |
| EB-2 Employment-Based Second Preference | Suitable for master's degree or bachelor's plus 5 years of experience, requires PERM labor certification, long queue. |
| O-1 O-1 Extraordinary Ability | Suitable for outstanding talents, such as those with significant publications or major contributions. |
| TN TN NAFTA Professional | Applies to Canadian or Mexican citizens; data scientists usually qualify. |
適合對象
- Those who enjoy analyzing data and solving complex problems
- Those with a background in mathematics, statistics, or programming
- Curious about new technologies
- People who dislike programming or mathematical modeling
- Not suitable for those who are not good at communication
職業前景
Junior analysts can advance to senior data scientist, chief data officer, or AI architect. They can also transition to machine learning engineer, data engineering, or management roles.
U.S. Bureau of Labor Statistics predicts data scientist jobs will grow 35% from 2022 to 2032, much faster than average. Big data and AI applications continue to expand, driving strong demand.
成長領域：
Big DataMachine LearningArtificial IntelligenceCloud Computing
常見問題
數據來源
Salary ranges are estimates aggregated from public listings on Indeed, Glassdoor, ERI SalaryExpert and the U.S. Bureau of Labor Statistics (BLS OEWS); employment and demand outlook cite the BLS Occupational Outlook and O*NET; visa and migration details follow the latest USCIS work-visa (H-1B / O-1 / L-1) and employment-based green-card (EB-2 / EB-3, incl. DOL PERM labor certification) rules. Figures are indicative only — always refer to the latest official sources.