详情介绍
中文
21211 – 数据科学家
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抓取信息并提供自动化建议。他们受雇于私营和公共部门的咨询公司、大学、银行和信息技术部门。
标题索引
- 人工智能 (AI) 分析师
- 人工智能（AI）顾问
- 人工智能 (AI) 设计师
- 大数据分析师
- 大数据开发者
- 大数据工程师
- 数据分析顾问
- 数据分析专家
- 数据架构师
- 数据工程师
- 数据挖掘机
- 数据挖掘分析师
- 数据建模师
- 数据科学家
- 首席数据科学家
- 机器学习工程师
- 机器学习专家
- 量化分析师
主要职责
该小组履行以下部分或全部职责：
- 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，使数据分析更高效
- 执行大规模实验以识别大型数据集中变量之间的隐藏关系
- 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
- 使用编程语言准备和提取数据
- 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
- 以允许企业快速得出结论和做出决策的方式可视化数据
- 开发人工智能模型和算法并实施它们以满足组织的需求。
- 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
就业要求
- 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的大学课程。
- 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。
- 通常需要编程经验。
- 通常需要统计建模或机器学习方面的经验
附加信息
排除
- 计算机和信息系统经理 ( 20012)
- 计算机工程师（软件工程师和设计师除外）（21311）
- 数学家、统计学家和精算师 ( 21210)
- 信息系统专家 ( 21222)
- 数据库分析师和数据管理员 ( 21223)
- 软件工程师和设计师 ( 21231)
English
21211 – Data scientists
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 private and public sectors.
Index of titles
- Artificial intelligence (AI) analyst
- Artificial intelligence (AI) consultant
- Artificial intelligence (AI) designer
- Big data analyst
- Big data developer
- Big data engineer
- Data analytics consultant
- Data analytics specialist
- Data architect
- Data engineer
- Data miner
- Data mining analyst
- Data modeler
- Data scientist
- Lead data scientist
- Machine learning engineer
- Machine learning specialist
- Quantitative analyst
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
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 or machine learning is usually required
Additional information
Exclusions
- Computer and information systems managers (20012)
- Computer engineers (except software engineers and designers) (21311)
- Mathematicians, statisticians and actuaries (21210)
- Information systems specialists (21222)
- Database analysts and data administrators (21223)
- Software engineers and designers (21231)
