Don’t blame data scientists if they are not adding value: blame the management, says head of …

Gianmarco Spacagna, a data scientist at Barclays, told Computing recently that in many companies the balance between experimentation and engineering in data science tends too much towards the former, with the risk that their employers may start to question their viability. “It’s not a playground. It is not academic. The company wants to make money and you have to solve a problem,” he said, suggesting that data scientists should borrow a methodology from software development – agile – and combine this with a DevOps approach, working closely with business users and analysts as part of a multi-functional team. Further reading Nick Clarke, head of analytics at software and consultancy firm Tessella, believes it is incumbent on companies to accommodate the data scientist role better, rather than data scientists taking the…


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