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Glassdoor Job Description Analytics – Analyzing Data Science Professional Roles and Skills

机译:Glassdoor工作描述分析 - 分析数据科学专业角色和技能

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With increasing data volume and adoption of technologies including machine learning and artificial intelligence across all industries, the demand for skilled Data Science professionals is continuing to increase globally. For educational institutions to teach the most up-to-date and industry-relevant skills and for businesses to hire employees with the right set of skills, it is important for them to stay tuned to the fast-changing dynamics of job landscape. In this research study, we present an NLP approach to the analysis of job listings from Glassdoor. Our solution mines insights on trending technical and soft skills in the Data Science job categories. Based on the insights, we provide recommendations to design overall data science curriculum learning outcomes (LOs). We also provide recommendations to the course designers on specific technical skills required for the topics of courses under the data science curriculum.
机译:随着数据量的增加和通过所有行业的机器学习和人工智能包括机器学习和人工智能的技术,对熟练的数据科学专业人员的需求仍在全球上继续增加。 为教育机构教授最新和行业相关的技能和企业雇用具有正确技能的员工,对他们保持关注的工作景观的快速变化动态非常重要。 在这项研究中,我们提出了一种NLP方法来分析Glassdoor的工作列表。 我们的解决方案挖掘了关于数据科学工作类别的技术和软技能的见解。 根据见解,我们提供了设计整体数据科学课程学习成果(LOS)的建议。 我们还向课程设计师提供关于数据科学课程课程主题所需的具体技术技能的建议。

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