![]() ![]() – Execute analytical experiments to help solve various problems, making a true impact across various domains and industries. I also work closely with the engineering team to strategise and execute the development of data products. – As a lead data strategist, I identify and integrate new datasets that can be leveraged through our product capabilities. ![]() Your standard role requirements may look something like this: Let’s say you’re working as a Data Scientist. Using LinkedIn to document the finer details of your day to day duties gives you the chance to prove that you are in fact very capable of working within a team. For the majority of employers, being able to work as part of a team is a mandatory requirement. Let’s say you’ve described yourself as a team player in your profile description. Why? Because doing so gives others full transparency of your skills and experience which could be exactly what they are looking for. Whichever category you fit into, you should consider using your profile as the ideal platform to document your role responsibilities, projects, and activities you’ve completed. The benefits of keeping your LinkedIn profile up to date are pretty obvious. You might be wondering, however why you would need to keep on top of this if you’re not actively seeking out new opportunities. You might also be wondering why you’re not seeing the results you had hoped for if you’re already using LinkedIn to apply for vacancies. Why You Should Keep Your LinkedIn Profile Up To Date This data science LinkedIn profile guide will help you create an optimised, appealing profile that headhunters and recruiters on the hunt for your expertise will love. It is no different from Twitter, Instagram, or Facebook. O’Donnell (founder and CEO of Work It Daily) puts it, ‘a LinkedIn profile is ‘ours to manage. ” – Chris Lynch, Vertica SystemsĪs LinkedIn continues to expand its rate of active users, it’s more important than ever to ensure you’re making the most out of the platform. “Big Data is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it. When a platform such as LinkedIn becomes heavily populated with professionals working within the same space, you need to focus on making yourself outshine the competition. ![]() 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 optimise your skillsets on LinkedIn, and you should start now! We can guarantee it. 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 from as recent 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. By Dan Lewins, Social Media Manager at Big Cloud.
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