With Big Data being all the rage in IT, it’s no wonder there are a lot of call for data scientists within organizations. The problem is, what exactly does this entail? It’s an emergent enough space that no clear cut certification are guaranteed for any expected hire.
Gina Rosenthal looks at a sample of recent postings for data scientist positions on LinkedIn. She tries to determine just what exactly organization want when they put out these postings.
She finds the definition of the job title is surprising fluid, and while many have the same basic ideas, the actual qualifications and expectations can vary wildly.
Gina Rosenthal comments:
Data scientist is the hot new job role. Some have even called it the sexiest job of the century. However, when you look at some of the job postings for data scientists, it seems like this job title could mean many different things. I’ve seen everything jobs advertised as “data scientists” that are actually descriptions […]
- TELoIP and the SD-WAN Cook-off - April 21, 2017
- The Future of On-Prem in a Cloud World - April 21, 2017
- Rook is the New Flocker? - April 21, 2017
- Virtualization and Containers: All of This Has Happened Before - April 11, 2017
- TCP Terminators: An Expert Analysis - April 11, 2017
- Qumulo Secures Round C Prime Funding – My Conversation with Bill Richter - April 11, 2017
- CapEx on Cloud up 22% in 2016 - April 10, 2017
- IPv6 Hits the Weekend, Network Engineers are Programmers, and Epoch Rollover Considerations in Gestalt Networking News 17.5 - April 7, 2017
- Remembering the IBM 1403: Hammer Time - April 5, 2017
- AWS Coming to Sweden in 2018 - April 4, 2017