全国平均工资：39/hour
主要职责：
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
职位要求：
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 https://online.hbs.edu/blog/post/data-analytics-vs-data-science