示例 面向通用数字医疗卫生组织的参考档案,并非正式的职位说明。 关于本参考资料。

Data science innovation

Data science involves examining data through statistical analysis and data mining, to identify patterns and uncover insights that can inform decision-making.

引自 UK GDaD PCF。

等级

1. 了解

You can:

  • adopt an inquisitive and curious approach to data
  • be receptive to learning about data science and its techniques
  • be unafraid to ask questions and discover what there is to learn
2. 胜任

You can:

  • adopt an inquisitive and curious approach to data
  • seek out and research new data science techniques to support learning
  • ask questions to improve your knowledge and learn about data science norms
  • see possibilities for improvements and innovation
3. 熟练

You can:

  • demonstrate practical knowledge of data science tools and techniques
  • develop data science solutions that maximise insight
  • identify opportunities for how data science can improve data practices
4. 专家

You can:

  • be a leader in the data science space
  • demonstrate in-depth knowledge of data science tools and techniques, which you can use to solve problems creatively and to create opportunities for your team
  • act as a coach, inspiring curiosity and creativity in others
  • demonstrate in-depth knowledge of your chosen profession and keep up to date with changes in the industry
  • challenge the status quo and always look for ways to improve data science

Contains public sector information from the UK Government Digital and Data Profession Capability Framework (https://understand-digital-data-roles-skills.service.gov.uk/), licensed under the Open Government Licence v3.0. © Crown copyright.

最接近的 ESCO 技能

Contains ESCO v1.2.1 data (https://esco.ec.europa.eu/). © European Union. Reuse authorised under Commission Decision 2011/833/EU.

期望具备该技能的角色级别

角色级别角色职级期望等级
见习数据科学家数据科学家4了解
助理数据科学家数据科学家5胜任
数据科学家数据科学家6熟练
主任数据科学家数据科学家7专家
首席数据科学家数据科学家8a专家
数据科学主管数据科学家8b熟练
高级机器学习工程师机器学习工程师7熟练
首席机器学习工程师机器学习工程师8b专家