TCFCA 学习空间
TCFCA 学习空间
Data scientists
数据科学家使用先进的分析技术（包括机器学习和预测建模）来支持趋势识别、从非结构化数据源中获取信息并提供自动化建议。他们受雇于咨询公司、大学、银行以及公共和私营部门的信息技术部门。
Data scientists use advanced analytics technologies, including machine learning and predictive modelling, to support the identification of trends, scrape information from unstructured data sources and provide automated recommendations. They are employed by consulting firms, universities, banks and information technology departments in the public and private sectors.
中文内容为本站机器翻译，未经加拿大政府审核；申请与职业匹配请以英文原文为准。
实施机器学习、深度学习和人工智能领域的前沿技术和工具，使数据分析更加高效
Implement cutting-edge techniques and tools in machine learning, deep learning and artificial intelligence to make data analysis more efficient
执行大规模实验来识别大型数据集中变量之间的隐藏关系
Perform large-scale experimentation to identify hidden relationships between variables in large datasets
创建高级机器学习算法，例如回归、模拟、场景分析、建模、聚类、决策树和神经网络
Create advanced machine learning algorithms such as regression, simulation, scenario analysis, modeling, clustering, decision trees and neural networks
使用编程语言准备和提取数据
Prepare and extract data using programming language
实施新的统计、机器学习或其他数学方法来解决特定的业务问题
Implement new statistical, machine learning, or other mathematical methodologies to solve specific business problems
以允许企业快速得出结论并做出决策的方式可视化数据
Visualize data in a way that allows a business to quickly draw conclusions and make decisions
开发人工智能模型和算法并实施以满足组织的需求
Develop artificial intelligence models and algorithms and implement them to meet the needs of the organization
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
Coordinate research and analysis activities using unstructured and structured data and use programming to clean and organize data
通常需要统计学、数学、计算机科学、计算机系统工程或相关学科的学士学位，或完成计算机科学领域的学院课程。
A bachelor's degree in statistics, mathematics, computer science, computer systems engineering or a related discipline or completion of a college program in computer science is usually required.
通常需要机器学习、数据科学或相关定量领域的硕士或博士学位。
A master's or doctoral degree in machine learning, data science, or a related quantitative field is usually required.
通常需要编程经验。
Experience in programming is usually required.
通常需要统计建模和机器学习方面的经验。
Experience in statistical modelling and machine learning is usually required.
人工智能 (AI) 分析师
artificial intelligence (AI) analyst
人工智能（AI）顾问
artificial intelligence (AI) consultant
人工智能（AI）设计师
artificial intelligence (AI) designer
计算机和信息系统经理（参见 20012 计算机和信息系统经理）
Computer and information systems managers (See 20012 Computer and information systems managers)
计算机工程师（软件工程师和设计师除外）（见21311 计算机工程师（软件工程师和设计师除外））
Computer engineers (except software engineers and designers) (See 21311 Computer engineers (except software engineers and designers))
数据库分析师和数据管理员（参见21223数据库分析师和数据管理员）
Database analysts and data administrators (See 21223 Database analysts and data administrators)
信息系统专家（参见21222信息系统专家）
Information systems specialists (See 21222 Information systems specialists)
数学家、统计学家和精算师（参见 21210 数学家、统计学家和精算师）
Mathematicians, statisticians and actuaries (See 21210 Mathematicians, statisticians and actuaries)
软件工程师和设计师（参见21231软件工程师和设计师）
Software engineers and designers (See 21231 Software engineers and designers)
Source: Statistics Canada, National Occupational Classification (NOC) 2021 Version 1.0, September 28, 2021. Reproduced and distributed on an "as is" basis with the permission of Statistics Canada.
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