![]() This will inform their decision when making a change in their careers. The social networking platform bridges the gap between candidates and clients, which has led to more than 75% of professionals now using LinkedIn. You have the opportunity to connect with influencers, decision-makers, and leaders within your industry. With over 575 million registered users and more than 260 million of those active on a monthly basis, LinkedIn is undoubtedly the #1 professional networking platform. It’s imperative you optimize your skillsets on LinkedIn, and you should start now! You may also like: 109 Data Science Interview Questions and Answers. For recruitment specialists, they want to be able to identify candidates who can offer organisations a unique set of skills. There are start-ups, unicorns, and conglomerates that will want to work with you. So, what does this mean for you as someone in data science, engineering, or machine learning? You’re a hot commodity. Variations in roles oftentimes require such specific skillsets that positions are left unfilled for an average of up to 45 days. Data science is a vast, complex industry with many subsets. Studies performed by Indeed’s Hiring Lab show an overall increase of 256% in data science job openings since 2013, with an increase of 31% year-over-year as recently as December 2018. In fact, according to a report by O’Reilly Media, nearly half of all European companies are struggling to fill data science positions. Despite this number of Data Scientists available/in roles online currently, it’s no secret there is still a major talent shortage. To date, there are more than 830,000 data science LinkedIn profiles registered worldwide. Why Data Scientists Should Be Using LinkedIn
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |