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第464行： − 数据科学是一个不断发展的领域。数据科学家的职业被 Glassdoor 评为2020年美国最佳工作的第三名，并被评为2016-2019年最佳工作的第一名。数据科学家的平均工资是每年118,370美元或每小时56.91美元。该领域的就业增长也高于平均水平，预计从2018年到2028年将增长16% 。美国数据科学家的最大雇主是联邦政府，雇佣了28% 的数据科学工作人员。数据科学家的其他大型雇主有计算机系统设计服务、研究和开发实验室以及学院和大学。通常情况下，数据科学家全职工作，有些人每周工作超过40小时。+ 第513行：
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→Careers in data science 数据科学的相关职业
Data science is a growing field. A career as a data scientist is ranked at the third best job in America for 2020 by Glassdoor, and was ranked the number one best job from 2016-2019. Data scientists have a median salary of $118,370 per year or $56.91 per hour. Job growth in this field is also above average, with a projected increase of 16% from 2018 to 2028. The largest employer of data scientists in the US is the federal government, employing 28% of the data science workforce. Other large employers of data scientists are computer system design services, research and development laboratories, and colleges and universities. Typically, data scientists work full time, and some work more than 40 hours a week.
Data science is a growing field. A career as a data scientist is ranked at the third best job in America for 2020 by Glassdoor, and was ranked the number one best job from 2016-2019. Data scientists have a median salary of $118,370 per year or $56.91 per hour. Job growth in this field is also above average, with a projected increase of 16% from 2018 to 2028. The largest employer of data scientists in the US is the federal government, employing 28% of the data science workforce. Other large employers of data scientists are computer system design services, research and development laboratories, and colleges and universities. Typically, data scientists work full time, and some work more than 40 hours a week.
数据科学是一个不断发展的领域。作为数据科学家的职业岗位被Glassdoor评为2020年美国最佳工作的第三名，并被评为2016-2019年最佳工作的第一名。数据科学家的平均工资分别是每年118,370美元或每小时56.91美元。该领域的就业增长率也高于平均水平，预计从2018年到2028年将会有16%的增长。美国的数据科学家的最大雇佣方是美国联邦政府，共计雇佣了28%的数据科学工作人员。计算机系统设计服务、研究和开发实验室以及学院和大学也是数据科学家的主要雇主。通常情况下，从事数据科学家全职工作，有些人每周工作超过40小时。
* Applications Architect: Applications architects track how applications are used throughout a business and how they interact with users and other applications.<ref name=":4" />
* Applications Architect: Applications architects track how applications are used throughout a business and how they interact with users and other applications.<ref name=":4" />
== Impacts of data science数据科学的影响 ==
== Impacts of data science数据科学的影响 ==