This provides the opportunity to explain your role, skills, and experience in more detail. – Create your own content – LinkedIn enables you to upload documents. . To date, there are more than 830,000 data science LinkedIn profiles registered worldwide. There will be those that share similar experience and skills as you, so you’ll want to make a conscious effort to keep your profile clear and concise. The less information you have available on your profile, the lower the chances of your account showing as fitting for a potential new role. One thing that always stands out to me is when a candidate has included a link to either their own website or Github profile. – Identify relevant data sources and sets to mine for client business needs and collect large structured/unstructured datasets and variables. Additional contributions are documented within the role description. why you would need to keep on top of this if you’re not, 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, 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, Because doing so gives others full transparency of your skills and experience which could be exactly what they are looking for, Let’s say you’ve described yourself as a team player in your profile description. It doesn’t have to be professional! Your goal is to communicate your expertise and individuality while maintaining a clear and concise description of your professional profile. Let’s look at a couple of examples here to give this more context: Here, we’ll use the example of Big Cloud recruitment’s Social Media Manager. The ‘about’ section immediately follows your header. If you’re open to new opportunities but aren’t accepting InMails, you could be missing out on new, exciting roles. Keep all of your writing as human as possible. Specifically, professionals working within Data Science, Machine Learning & Artificial Intelligence organisations. There will be those that share similar experience and skills as you, so you’ll want to make a conscious effort to keep your profile clear and concise. It will give you a place of reference to always look back and reflect on. We can guarantee it. A. A strong candidate will have taken time to perfect their profile and communicate their professional experience. To date, there are more than 830,000 data science LinkedIn profiles registered worldwide. Q. Of course, it might not always be appropriate for you to disclose every little detail about your role depending on your profession. So what does this look like on your profile? Showing your audience who are you with the perfect headshot is the first step to introducing yourself in a more personable manner, encouraging others to get to know you. Better still, support your skillset within the context of a project description. So what does this mean for you as someone in data science, engineering, or machine learning? It is no different from Twitter, Instagram, or Facebook. ★ The very first brasilian podcast on Data Science ★ Pizza de Dados (PDD) is an initiative of 3 data science enthusiasts who have been discussing and exchanging matters, links and career advice. . . The desire to learn more and share knowledge was common to all and the absence of a Portuguese channel to deal with these themes led to the idea of forming the PDD. Anything relating to your work ethic or knowledge within your field is great too! Whilst you’re filling out this section of your profile, it would make good sense to update your CV at the same time. I wasn’t getting hired as a Data Scientist. A comparison of skills listed on LinkedIn by Data Scientists, Software Engineers & Data Engineers. Treat this section as an opportunity to document your work within each role well. Keep your descriptions short and to the point, avoiding lengthy sentences and paragraphs. This leaves a lot of guesswork for a recruiter to identify where your strengths and expertise are. Better yet, include both if you have both. If you don’t let recruiters know that you’re looking for new opportunities, you’re not going to hear from. Your LinkedIn news feed tailors to you. Some people might be asking a question that you have the answer to. This is where interests come in. Joining groups is a great way to meet new people who share common interests with you. A. Write in first person, not in third. Q. Alyesha Sayle is a Senior Technical Recruiter at Big Cloud recruitment. There are start-ups, unicorns, and conglomerates that will want to work with you. If there is no information listed under each role, I’ll most likely move onto the next applicant –, A. Let’s get this out of the way right off the bat, because many of you are likely skeptical of data science already for many of the reasons we were. Of course, it might not always be appropriate for you to disclose every little detail about your role, depending on your profession. 세계 최대의 비즈니스 인맥 사이트 LinkedIn에서 Jaeyong An님의 프로필을 확인하세요. 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. By now you should have a good idea of what happened to the many job applications you made before you updated your LinkedIn profile. Why? We offer an open community platform to connect, educate and empower students will the skills to unlock the power of data science. O’Donnell (founder and CEO of Work It Daily) puts it, ‘a LinkedIn profile is ‘ours to manage. Leading a team using data science and evidence driven decision making to address city based problems and make city life better for citizens. They are only visible on your profile once you have approved them. If there’s no evidence that you have applied your experience to any given project, it implies you’re not qualified for the role you’re applying for, how many applications I receive from Data Scientists that do not include any references to projects that they have worked on. This activity is visible to anybody who visits your page, and it is worth keeping this in mind when you are communicating with other LinkedIn users and organisations. Q. Here, you can highlight your specialisms with reaffirmation from your peers. 2015-2016 | Yet the more information you can provide could benefit you in the long run. . the skills and endorsements section on your LinkedIn profile is of great value. It’s time to make the most out of all that LinkedIn has to offer! It’s worth considering that in your busy schedule, you might have overlooked certain aspects of your work. We’ve all worked on a task or project at one point to support a colleague or separate department. It means I can direct them to more relevant and exciting roles, and nobody's time is wasted. As J.T. You’re helping them delve deeper into why you are a perfect fit for an exciting new job role. They will list the company they work for and the date range in which they’re employed at that company. Driving business decisions using data science and machine … In 2010, former Google CEO Eric Schmidt famously said that every two days we create as much data as we did from the dawn of time through 2003. However if your skills are clearly listed within each relevant role with details of how they were implemented, it becomes clearer to the recruiter reviewing your profile where they have previously been applied. Not only that, but, There will be those that share similar experience and skills as you, so you’ll want to make a conscious effort to keep your profile clear and concise, Be straight to the point and avoid confusing individual areas of your expertise when you list them, It’s worth considering that in your busy schedule, you might have overlooked certain aspects of your work, Some tasks or projects might not fit your job description on paper, but if they support areas of your expertise that an employer will look for, use them. Tweet Joining groups is a great way to meet new people who share common interests with you. You’re a hot commodity. It is no different than Twitter, Instagram or Facebook. Data Science, and Machine Learning. – Create your own content – LinkedIn enables you to upload documents. This can become a great resource at a later stage in your career as you’ll have a record of your personal progression. It’s also worth noting that your interests are visible to your profile visitors. You could share mutual interests when it comes to the daily documentation of Elon Musks' ambitious statements for example, we’ve covered the areas in which you can make the most out of your LinkedIn profile, let’s drill down into the data science recruitment process, holds more than 20+ years of experience in the talent search. Your standard role requirements may look something like this: – As a lead data strategist, I identify and integrate new datasets that can be leveraged through our product capabilities. So what does this mean for you as someone in data science, engineering, or machine learning? A. Report an Issue  |  You might be wondering,  however why you would need to keep on top of this if you’re not actively seeking out new opportunities. Towards Data Science - Mining Data on LinkedIn. “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.” – Chris Lynch, Vertica Systems, As 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. Data Science Connect | 969 followers on LinkedIn. . It’s quite common for candidates to include details of their publications on their CV, and if I am contacting a candidate after reviewing their application, I’ll often ask for details of where this can be found. If you have these included in your profile, it makes a big difference. Use every line within your profile description to sell what it is that you do and what you can offer. You can include multimedia assets such as photos, videos & links that provide evidence of your role. It becomes apparent within the first 5 – 10 seconds of browsing an applicants profile. Of course, there’s always going to be a crossover of skills between certain roles within our industry. See this as a chance to showcase yourself as more than just another face on a screen. Better yet, include both if you have both. You can include multimedia assets such as photos, videos & links that provide evidence of your role. It’s also a huge bonus if the candidate has listed examples of projects that they have worked on. This makes you more likely to become headhunted by organisations who are in need of candidates with your expertise! We’d suggest making a start here. I enable data-driven decision making by transforming the varied and vast into the meaningful and simple. – List your achievements and who it is that you want to connect with. Last week, the global LinkedIn Data Science team joined together for our third-annual Data Science Week. This provides the opportunity to explain your role, skills and experience in more detail. So I sought data on who is. Here, you can highlight your specialisms with reaffirmation from your peers. It’s quite common for candidates to include details of their publications on their CV and if I am contacting a candidate after reviewing their application, I’ll often ask for details of where this can be found. within the role description. – Include multimedia within your profile. It’s imperative you optimise your skillsets on LinkedIn, and you should start now! It’s refreshing when candidates have distinctlyinjected some personality into their profile. To make sure that you can be contacted by recruiters, you’re going to need to make sure that you have enabled specific settings on your profile. Cette véritable star des métiers du numérique est devenue incontournable pour les entreprises d’aujourd’hui, qui sont amenées à disséquer une masse de données inégalée. 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