{"id":3742,"date":"2017-05-23T14:57:55","date_gmt":"2017-05-23T12:57:55","guid":{"rendered":"https:\/\/www.jobboardfinder.com\/news\/?p=3742"},"modified":"2020-03-04T15:38:35","modified_gmt":"2020-03-04T13:38:35","slug":"how-to-recruit-data-scientists","status":"publish","type":"post","link":"https:\/\/www.jobboardfinder.com\/news\/how-to-recruit-data-scientists\/","title":{"rendered":"How to recruit Data Scientists"},"content":{"rendered":"

Data science<\/strong> is the sector that has been the most attractive<\/strong> for the past 5 years, if not more. The battle to attract the best talents<\/strong> has been raging, especially because demand in data scientists far outstrips supply<\/strong>. These specialists in maths, statistics and programming deal with the data and \u201cBig Data<\/strong>\u201d of companies in order to extract information (with \u201canalytic powers<\/strong>\u201d, that is to say industry knowledge, contextual understanding, skepticism of existing assumptions) that could help the companies make\u00a0strategic decisions<\/strong>. In this article, we will try to give recruiters tips<\/strong> to find the best data scientists and we will first focus on the job<\/strong> itself and what it consists of, which will lead us to give advice<\/strong> on data science recruitment.\"woman<\/p>\n

About the profession<\/h2>\n

Data analysts and\u00a0data scientists are in charge with the crossing<\/strong> of companies\u2019 data<\/strong> and other data given by web services and digital devices<\/strong>. Their objective is to give sense<\/strong> to these huge amounts of data and to extract its precious value to make\u00a0strategic or operational decisions<\/strong>.<\/p>\n

They create models<\/strong> and algorithms<\/strong> to collect, store, analyze and to reproduce data. Creativity<\/strong> is what makes data scientists and data analysts different from statisticians<\/strong>. In fact, they are able to imagine brand new models<\/strong> to analyze very random data that requires other tools than the classic analyzing tools to manage database<\/strong>.\"what<\/p>\n

Data scientists are an important<\/strong> part of the company because their analyses is a central part for the strategy<\/strong>. They can determine the consumer tendencies<\/strong> to buy, the clients\u2019 profiles, their expectations.\u00a0<\/strong>The importance of data science is due to the emergence of the \u201cBig Data<\/strong>\u201d for all types of companies.<\/p>\n

How to find your next data scientist<\/h2>\n

\"data<\/p>\n

As we said earlier, it is hard for companies to find data scientists because the demand is higher than the offer<\/strong>. Indeed, it is hard to find talented data scientists because these professionals need to have experience and skills<\/strong> in three specific areas of expertise that require precision and organization<\/strong>:<\/p>\n