数据科学家
Data scientists
这类岗位偏专业知识与技术交付，适合把资格证书、软件/工具栈、项目成果和行业关键词写清楚。
这类岗位偏专业知识与技术交付，适合把资格证书、软件/工具栈、项目成果和行业关键词写清楚。
这页同时承担“可搜索职业库”和“申请人 / 雇主解释页”的角色。你可以按 code、职位名、层级或关键词继续向下钻。
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.
上面这层定义来自 NOC 结构文件；如果该 code 对应的是具体职业单元，下面还会展开 StatCan 的 official sections。
- 正在对照 Job Bank 广告或雇主岗位说明的人。
- 想确认职责是否能对应 EE / PNP / 技工路径的人。
- 需要把英文 NOC 解释成中文、方便团队内部沟通的人。
常见 Job Titles
中文岗位解释
中文里通常可直接理解为「数据科学家」。它属于 自然与应用科学 里的 具体职业，最适合拿来对照 Job Bank 广告、雇主职责、工资单和移民申请材料。
Job Bank 写法示例
Job Bank 示例：We are hiring a Data scientists. The role includes technical analysis, design, development, testing, troubleshooting, and documentation. Please include tools, platforms, technical scope, and any certification or education requirements.
官方 Illustrative examples
官方 Exclusions
- Computer and information systems managers (See 20012 Computer and information systems managers)
- Computer engineers (except software engineers and designers) (See 21311 Computer engineers (except software engineers and designers))
- Database analysts and data administrators (See 21223 Database analysts and data administrators)
- Information systems specialists (See 21222 Information systems specialists)
- Mathematicians, statisticians and actuaries (See 21210 Mathematicians, statisticians and actuaries)
- Software engineers and designers (See 21231 Software engineers and designers)
官方 Main duties
- This group performs some or all of the following duties:
- 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
官方 Employment requirements
- 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.
- A master's or doctoral degree in machine learning, data science, or a related quantitative field is usually required.
- Experience in programming is usually required.
- Experience in statistical modelling and machine learning is usually required.
- Date modified:
- 2024-09-11
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雇主发布岗位时怎么写
- 写明软件、平台、工程或分析工具，让候选人判断是否对口。
- 把项目目标、交付物和技术边界写清楚。
- 如涉及资格证书或专业认证，请在广告里明确。
申请人怎么把经验对上去
- 把你的项目、工具栈、分析方法和产出写成可核验材料。
- 避免把所有理工经验混成一个泛泛的 STEM 背景。