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Updated: Nov 28, 2022



  • 使用机器学习、深度学习和人工智能方面的尖端技术和工具,使数据分析更有效率

  • 进行大规模的实验,以确定大型数据集中变量之间的隐藏关系

  • 创建先进的机器学习算法,如回归、模拟、情景分析、建模、聚类、决策树和、神经网络等

  • 使用编程语言准备和提取数据

  • 实施新的统计学、机器学习或其他数学方法来解决特定的业务问题

  • 将数据可视化,使企业能够快速得出结论并做出决策

  • 开发人工智能模型和算法,并实施这些模型和算法,以满足企业的需求。

  • 使用非结构化和结构化数据协调研究和分析活动,并使用编程来清理和组织数据


  • 通常需要计算机科学或数学方面的学士学位,或者完成计算机科学方面的大学课程。

  • 通常需要有计算机编程经验。

Data Scientists

National average salary: 39/hour

  • Implement cutting-edge techniques and tools in machine learning, deep learning and artificial intelligence to make data analysis more efficient

  • Perform large-scale experimentation to identify hidden relationships between variables in large datasets

  • Create advanced machine learning algorithms such as regression, simulation, scenario analysis, modeling, clustering, decision trees and , neural networks

  • Prepare and extract data using programming language

  • Implement new statistical, machine learning, or other mathematical methodologies to solve specific business problems

  • Visualize data in a way that allows a business to quickly draw conclusions and make decisions

  • Develop artificial intelligence models and algorithms and implement them to meet the needs of the organization.

  • Coordinate research and analysis activities using unstructured and structured data and use programming to clean and organize data

  • A bachelor's degree, usually in computer science or in mathematics or Completion of a college program in computer science is usually required.

  • Computer programming experience is usually required.

Image source: Stobierski, T. (Ed.). (2021, January 5). What's the difference between Data Analytics & Data Science? Business Insights Blog. Retrieved November 25, 2022, from



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