How to Hire a Data Scientist - Machine Learning Times - machine learning & data science news

Now that artificial intelligence and machine learning have become increasingly common tools in a business' arsenal, it is equally important to have employees who are capable of using – or developing – such tools. Chief among them should be a data scientist: someone with the experience and ability necessary to work with structured and unstructured data, and build systems capable of mining that data to come up with actionable and useful insights. The exact responsibilities of a data scientist can vary depending on the type of organization they work for, which means that it's up to an individual business to determine what they are, and how they want to incorporate data science and machine learning into their company. In addition, data science is a relatively new field so, as a Forbes article put it, "large number[s] of data scientists are willing to apply yet few have the required experience." As careers in data science, artificial intelligence and machine learning grow increasingly lucrative, it is not unusual to see hordes of recent graduates looking for jobs in those fields. This, coupled with the dearth of data scientists with extensive job experience, means that for the time being, most companies will be hiring people who are either straight out of school or have limited work experience.