Abstract
Hiring data talent is desirable and challenging. Due to a global talent shortage, there are hundreds of thousands of Data Science jobs that go unfilled each year. There are, however, a few traits that differentiate the best hiring managers from the rest. Managers that take full advantage of their resources and build a culture of recruiting tend to consistently get the top candidates. In this section, we talk about why hiring for Data Science and analytics talent is different, the flaws in the traditional ways Human Resources departments are used, the strategies for building an updated culture of recruiting and the direct benefits to hiring managers. We also talk about reasonable expectations and the missing links in the hiring process, how to assess skills, talent sourcing and continuing education for current employees. Finally, we discuss considerations for senior-level data scientists and the new Data C-suite.
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Rawlings-Goss, R. (2019). Building Data Talent and Workforce. In: Data Science Careers, Training, and Hiring. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-030-22407-3_4
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DOI: https://doi.org/10.1007/978-3-030-22407-3_4
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