Q. Yet the more information you can provide could benefit you in the long run. Not only do you see posts from connections in your network, but also activity from groups and communities you join or follow. . 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’re working as a Data Scientist. Q. Consider the ‘about’ section as nothing more than a summary. LinkedIn is the premier place for professionals to gather, connect with one another, share ideas, and network. As J.T. – Nicholas Jackson – Data Science Recruiter (Machine Learning, Deep Learning, Computer Vision & Artificial Intelligence). You’ll often find that people are sharing insights and opinions on their specialist subjects. Now, this section is where you’re going to get the bulk of your information laid out in your profile. It is no different than Twitter, Instagram or Facebook. There are start-ups, unicorns, and conglomerates that will want to work with you. Keep all of your writing as human as possible. See this as a chance to showcase yourself as more than just another face on a screen. Now that we know what Alyesha does and the industry she is working in, we’re more likely to want to explore the rest of her profile to develop further understanding of her past and present professional roles. Now the key here is to think about how many times have you worked on something that falls outside of your Data Scientist role. Are there any specific skills that you look for that makes a candidate more likely to be successful? I also work closely with the engineering team to strategise and execute the development of data products. Most smartphones, such as the iPhone, now have ‘Portrait’ mode which allows you to take a professional-looking profile photos in a matter of seconds. 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. Data science training has to be top of mind for any learning and development team. Use every line within your profile description to sell what it is that you do and what you can offer. Captivated with the "anything is possible" mentality and agile development process in startups. Tom Harris – Principal Consultant (Data Science, Machine Learning, Deep Learning, Computer Vision & Artificial Intelligence), Nicholas Jackson – Data Science Recruiter (Machine Learning, Deep Learning, Computer Vision & Artificial Intelligence), Chris Bradbury – (Deep Learning & Computer Vision Recruiter), Carsten Jahn – Recruiting AI Experts (ML/DL, CV, NLP & Robo). Better still, support your skillset within the context of a project description. While you’re filling out this section of your profile, it would make good sense to update your CV at the same time. 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. Leiden Centre of Data Science | 266 volgers op LinkedIn. The Big Cloud recruitment team collectively holds more than 20+ years of experience in the talent search. This demonstrates the completion of projects performed, further supporting the role. . You have the opportunity to connect with influencers, decision-makers and leaders within your industry. If you don’t let recruiters know that you’re looking for new opportunities, you’re not going to hear from. To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, and toolkits—but also understand the ideas and principles underlying them. This leaves a lot of guesswork for a recruiter to identify where your strengths and expertise are. Using groups will allow you to join communities and make connections with others who relate to your areas of interest. O’Donnell (founder and CEO of Work It Daily) puts it, ‘a LinkedIn profile is ‘ours to manage. Your LinkedIn job seeking preferences should look like this: Now 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. This is an immediate deterrent for recruitment and HR professionals. Lead the Data Science Team with the challenging responsibility to grow the area by designing new product offers and prepare a team to be technically able to deliver all of this. You’re helping them delve deeper into why you are a perfect fit for an exciting new job role. . 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. For the majority of employers, being able to work as part of a team is a mandatory, 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, – As a lead data strategist, I identify and integrate new datasets that can, with the engineering team to strategise and execute the development of data products, – Execute analytical experiments to help solve various problems, making a true impact across various domains and industries, – Identify relevant data sources and sets to mine for client business needs and collect large structured/unstructured datasets and variables, – Devise and utilise algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and, – Analyse data for trends and patterns and interpret data with a clear, analytical models into production by collaborating with software developers and machine learning engineers, – Communicate analytic solutions to stakeholders and, improvements as needed to operational systems, Now the key here is to think about how many times have you worked on something that falls outside of your Data Scientist role. They have a break down of what the role entails exactly. . The social networking platform bridges the gap between candidates and clients, which has led to more than 75% of professionals now using LinkedIn. The social networking platform bridges the gap between candidates and clients, which has led to more than 75% of professionals now using LinkedIn. show you have experience in. This includes achievements within your roles listed on your profile. Big Data and Data Science Hype. This provides the opportunity to explain your role, skills, and experience in more detail. Expand upon your experience and career development to set yourself apart from the competition. To date, there are more than 830,000 data science LinkedIn profiles registered worldwide. Also, it’s never nice to read somebody talking about themselves in the third person – Dan Kettle – Senior Technical Recruiter (Data Science, Machine Learning & Artificial Intelligence). Also, it’s never nice to read somebody talking about themselves in the third person – Dan Kettle – Senior Technical Recruiter (Data Science, Machine Learning & Artificial Intelligence). Q. Recruitment specialists want to find you fast, and this guide will help you create the best profile to feature your expertise. Do pay attention to any references written by your colleagues and superiors. Write in first person, not in third. We’ve all worked on a task or project at one point to support a colleague or a separate department. In fact, according to a report by O’Reilly Media, nearly half of all European companies are struggling to fill data science positions. . For recruitment specialists, they want to be able to identify candidates who can offer organisations a unique set of skills. (document.getElementsByTagName('head')[0] || document.getElementsByTagName('body')[0]).appendChild(dsq); })(); By subscribing you accept KDnuggets Privacy Policy, Despite this number of Data Scientists available/in roles online currently, it’s no secret there is still a major talent shortage, half of all European companies are struggling to fill data science positions, Studies performed by Indeed’s Hiring Lab show an, increase of 256% in data science job openings since 2013, with an increase of 31% year over year from as recent as December 2018. . There are plenty of resources available online which can teach you how to take professional photos using your phone in no time at all such as this step by step tutorial. It means I can direct them to more relevant and exciting roles, and nobody's time is wasted. The 4 Stages of Being Data-driven for Real-life Businesses. ! You’re helping them delve deeper into why you are a perfect fit for an exciting new job role. Word of mouth still is and always will be one of the most important forms of referral. Yet the more information you can provide could benefit you in the long run. It represents us directly.’, 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, 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. Is it just us, or do you hear crickets chirping while waiting for something to happen? For the majority of employers, being able to work as part of a team is a mandatory requirement. Book 1 | This leaves a lot of guesswork for a recruiter to identify where your strengths and expertise are. Use every line within your profile description to sell what it is that you do and what you can offer. Anything relating to your work ethic or knowledge within your field is great too! How much information do you expect to see for each role listed on a LinkedIn profile? . Having an up to date CV will increase your appeal when you apply for jobs using LinkedIn’s EasyApply feature. Data Science Connect | 969 followers on LinkedIn. Q. 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. Did you know that your LinkedIn profile displays your recent activity across the entire platform? Better still, support your skillset within the context of a project description. You have the ability to list each individual role that you’ve worked in. This offers an extra opportunity for your audience to get to know a bit more about you. 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! For me, I just need 3 – 4 sentences on each role that a candidate has held with a clear list of the tech they’ve worked on, whether that be in the profile summary or listed in keywords. A strong candidate will have taken time to perfect their profile and communicate their professional experience. Take the time to check you have your settings optimised so that you can be contacted by a recruiter. Curious about Data-driven science, where actions are based on trends. As J.T. With so many Data Scientists showing up on LinkedIn, it's time to make sure your profile is top-notch because your talent is still highly sought after. I’d rather see a profile description that has a concise overview of key work objectives and experience. 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. Why? This makes you more likely to become headhunted by organisations who are in need of candidates with your expertise! Your LinkedIn news feed tailors to you. Let’s say you’ve described yourself as a team player in your profile description. , professionals working within Data Science, Machine Learning & Artificial Intelligence organisations. 2015-2016 | Driving business decisions using data science and machine … lots of text in your profile summary is off-putting and unnecessary. What are the most common mistakes you see on a data scientist profile? 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. While it’s good to have many recommendations on your profile, we’d suggest only approving those that feature your skills. Example 2: Here we can see that this individual works at Big Cloud as a Social Media Manager. Don’t be shy in communities, use them as an opportunity to network and learn something new. Solutions Review’s editors have compiled this directory of the top data science LinkedIn groups for practitioners. Dubbed “the sexiest job of the 21 st century,” this emerging field has become a necessity as businesses try to sift through an overabundance of data. Specifically, professionals working within Data Science, Machine Learning & Artificial Intelligence organisations. Data science is a vast, complex industry with many subsets. 0 Comments Because doing so gives others full transparency of your skills and experience which could be exactly what they are looking for. Strive to have your capabilities, personality, and work ethic credited through personal recommendations. 1 Like, Badges  |  It’s refreshing when candidates have distinctly. Data Science LinkedIn Experience and Work History. There are start-ups, unicorns, and conglomerates that will want to work with you. This is an immediate deterrent for recruitment and HR professionals. The way we see it, the more effort you put into your profile, the more opportunity you will see from it. This includes achievements within your roles listed on your profile. This may harm how are you perceived if scouted by recruiters for new career opportunities. Some people might be asking a question that you have the answer to. Its core consists of researchers in the Faculty of Science and the Leiden University Medical Center. 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, . Recruiters will use recommendations to verify your ability to perform within a given role. It doesn’t have to be professional! Remember to keep it professional and refrain from sharing negative views, which could harm your chances of being approached by a new employer. . UNSW Data Science Society | 349 followers on LinkedIn | The first undergraduate Data Science Society in Australia | Hello and welcome! Are publications written by Data Scientists on LinkedIn important to you when you’re reviewing a job application? Most certainly yes. He devotes his time with Data Science Nigeria, the leading AI Company in Nigeria as a Research and Innovation Intern on projects and researchs. How quickly can you tell if a data science candidate is a strong fit for the role? You could share mutual interests when it comes to the daily documentation of Elon Musks' ambitious statements for example. It’s also a huge bonus if the candidate has listed examples of projects that they have worked on. Be straight to the point and avoid confusing individual areas of your expertise when you list them. Kimberly Hermans | Antwerp Area, Belgium | Data Science Manager at Ordina Belgium | 500+ connections | See Kimberly's complete profile on Linkedin and connect Of course, it might not always be appropriate for you to disclose every little detail about your role depending on your profession. – Include extracurricular activities, volunteer experience and additional spoken/written languages. Now that we know what Alyesha does and the industry she is working in, we’re more likely to want to explore the rest of her profile to develop further understanding of her past and present professional roles. Of course, there’s always going to be a crossover of skills between certain roles within our industry. While you may have one of the best pouts the internet has ever seen, LinkedIn is not the place for your weekend selfies or photos of your most precious feline friends. Now that you’ve given your profile a whole new lick of paint, let’s check some basic settings. We can guarantee it. There are too many candidates out there applying for jobs that fail to either possess or include key skills such as Python, Data Science, Machine Learning, and AWS. Last week, the global LinkedIn Data Science team joined together for our third-annual Data Science Week. Why? This will inform their decision when making a change in their careers. As J.T. Q. For me, I just need 3 – 4 sentences on each role that a candidate has held with a clear list of the tech they’ve worked on, whether that be in the profile summary or listed in keywords. At UNSW Data Science Society, our goal is to discover how data shapes the world around us. This provides the opportunity to explain your role, skills and experience in more detail. sat down with the recruitment team to gain more insight into how you can avoid common mistakes frequented on data science profiles. It doesn’t belong to our core responsibilities, but these moments provide the ideal opportunity to showcase your ability to go the extra mile and work as part of a team to support the business. Book 2 | So I sought data on who is. If you’re open to new opportunities but aren’t accepting InMails, you could be missing out on new, exciting roles. sat down with the recruitment team to gain more insight into how you can avoid common mistakes frequented on data science profiles. There are start-ups, unicorns, and conglomerates that will want to work with you. Most certainly yes. 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. We can guarantee it. Of course, it might not always be appropriate for you to disclose every little detail about your role, depending on your profession. Ideal candidates that Alyesha will be looking to work with will hold specialist skills in Language Technologies, Explainable AI and People Analytics. A. – Nicholas Jackson – Data Science Recruiter (Machine Learning, Deep L... Q. 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. – Implement analytical models into production by collaborating with software developers and machine learning engineers. But why should I add all this information? The ‘about’ section immediately follows your header. Remember, following your picture, this is the first part of your profile employers will see so it’s important you get it right. This can become a great resource at a later stage in your career as you’ll have a record of your personal progression. 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 social networking platform bridges the gap between candidates and clients, which has led to more than 75% of professionals now using LinkedIn. We sat down with the recruitment team to gain more insight into how you can avoid common mistakes frequented on data science profiles. 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. 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. – List your achievements and who it is that you want to connect with. Make the most out of these features to assist in making your profile visually arresting. – Execute analytical experiments to help solve various problems, making a true impact across various domains and industries, – Identify relevant data sources and sets to mine for client business needs and collect large structured/unstructured datasets and variables, – Devise and utilise algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and, analytical models into production by collaborating with software developers and machine learning engineers, – Communicate analytic solutions to stakeholders and, improvements as needed to operational systems, Now the key here is to think about how many times have you worked on something that falls outside of your Data Scientist role, Your profile immediately becomes more attractive to recruiters when they’re able to get a clear insight into everything that you’ve worked on. Also, it’s never nice to read somebody talking about themselves in the third person –. Now, this section is where you’re going to get the bulk of your information laid out in your profile. Each entry within your experience section enables you to provide links to websites and the ability to upload images to enhance the view of your entries. Leading a team using data science and evidence driven decision making to address city based problems and make city life better for citizens. Keep your descriptions short and to the point, avoiding lengthy sentences and paragraphs. It’s also a huge bonus if the candidate has listed examples of projects that they have worked on. It means I can direct them to more relevant and exciting roles and nobodies time is wasted. Joining groups is a great way to meet new people who share common interests with you. When it comes to showcasing your strengths, the skills and endorsements section on your LinkedIn profile is of great value. within the role description. Consider the ‘about’ section as nothing more than a summary. This will increase your likelihood of being contacted, all while ensuring you’re selling yourself to the best of your ability. Why Data Scientists Should Be Using LinkedIn. Having lots of text in your profile summary is off-putting and unnecessary. Here’s how your contact settings should look: Allowing recruiters to contact you by InMail is vital if you’re hoping to receive new vacancy information. It’s imperative you optimise your skillsets on LinkedIn, and you should start now! Recruiters often comment on the lack of professionalism that comes across from writing about yourself in the third person. Use LinkedIn to be helpful, conversational and offer your opinion. – Inject your personality into your writing. This is a lot of information to convey to somebody who doesn’t already know Alyesha, however when visiting her LinkedIn profile, we’re able to identify exactly what Alyesha does due to her profile being optimised effectively to communicate her job role and the company she works for. It doesn’t belong to our core responsibilities, but these moments provide the ideal opportunity to showcase your ability to go the extra mile and work as part of a team to support the business, Your profile immediately becomes more attractive to recruiters when they’re able to get a clear insight into everything that you’ve worked on. By default, your 4 most recent interactions with other users across the whole of LinkedIn will be displayed in your activity feed within your profile. It will increase your chances of being a successful candidate when applying for roles – and that’s the end goal, right? This near enough always encourages me to keep reading through their information. ONUIGWE VITUS is an AI Researcher, a Mentor, an Ambassador at deeplearning.ai, and the Team Lead Pie & AI Abuja. It’s worth considering that in your busy schedule, you might have overlooked certain aspects of your work. Joining groups is a great way to meet new people who share common interests with you. Some people might be asking a question that you have the answer to. We sat down with the recruitment team to gain more insight into how you can avoid common mistakes frequented on data science profiles. Vikalp Gajbhiye | Gurgaon, Haryana, India | Manager, Data Science at Amazon | 500+ connections | View Vikalp's homepage, profile, activity, articles Sure, you may have your latest job title included, but having a clear breakdown of your role responsibilities provides recruiters with a better understanding of your skillset and specialisms. Whilst you’re filling out this section of your profile, it would make good sense to update your CV at the same time. Emily Natasha Díaz - Specialist, Data Science - QuantumBlack | … Our data scientists dig gold from the ground for our customers, delivering intelligent products over that huge amount of data. Take the time to check you have your settings optimised so that you can. It doesn’t have to be professional! If there is no information listed under each role, I’ll most likely move onto the next applicant – Chris Harrison – Senior Consultant (Data Science, Machine Learning, Artificial Intelligence, Deep Learning, NLP & Big Data), A. Having an up to date CV will increase your appeal when you apply for jobs using LinkedIn’s EasyApply feature. Your goal is to communicate your expertise and individuality while maintaining a clear and concise description of your professional profile. I also work closely with the engineering team to strategise and execute the development of data products. By now, you should have a good idea of what happened to the many job applications you made before you updated your LinkedIn profile. Having an up to date CV will increase your appeal when you apply for jobs using LinkedIn’s EasyApply feature. Is Your Machine Learning Model Likely to Fail? This includes achievements within your roles listed on your profile. A. They will list the company they work for and the date range in which they’re employed at that company. It’s also worth noting that your interests are visible to your profile visitors. 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. Variations in roles oftentimes require such specific skillsets that positions are left unfilled for an average of up to 45 days. It doesn’t belong to our core responsibilities, but these moments provide the ideal opportunity to showcase your ability to go the extra mile and work as part of a team to support the business. The benefits of keeping your LinkedIn profile up to date are pretty obvious. Now that we’ve got an understanding of why you should be using LinkedIn let’s take a look at each individual section of a profile layout. 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. This makes you more likely to become headhunted by organisations who are in need of candidates with your expertise! This will inform their decision when making a change in their careers. Your profile header is the first thing visitors to your page are going to see. Here, you can highlight your specialisms with reaffirmation from your peers. We offer an open community platform to connect, educate and empower students will the skills to unlock the power of data science. Here, you can highlight your specialisms with reaffirmation from your peers. – Avoid using technical jargon and buzzwords within your profile writing. Despite this number of Data Scientists available/in roles online currently, it’s no secret there is still a major talent shortage. – Tom Harris – Principal Consultant (Data Science, Machine Learning, Deep Learning, Computer Vision & Artificial Intelligence). Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch. In fact, according to a report by O’Reilly Media, nearly half of all European companies are struggling to fill data science positions. 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. 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. Here’s how your recommendations will appear on your profile: Written recommendations will only come from individuals you’re connected with. The more information available from an applicant, the better. It’s also a huge bonus if the candidate has listed examples of projects that they have worked on. Better still, support your skillset within the context of a project description. – Make use of data science LinkedIn groups. Detailing your past and present roles provide recruiters with the most detailed insight. 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. A report by Ryan Swanstrom demonstrates the comparison of skills included on LinkedIn profiles for data scientists, software engineers, and data engineers. So what does this look like on your profile? Chris Bradbury – (Deep Learning & Computer Vision Recruiter). 박정훈 | 대한민국 | LG CNS Data Science Professional | 1촌 87명 | 정훈님의 홈페이지, 프로필, 활동, 글 보기 By now you should have a good idea of what happened to the many job applications you made before you updated your LinkedIn profile. 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. You can include multimedia assets such as photos, videos & links that provide evidence of your role. Your aim is to convey not only your strengths and abilities but also who you are as an individual. You can be certain that you’re not going to hear from many headhunters if you do not have this enabled. – Create your own content – LinkedIn enables you to upload documents. We’ve all worked on a task or project at one point to support a colleague or separate department. More, To date, there are more than 830,000 data science LinkedIn profiles registered worldwide, Despite this number of Data Scientists available/in roles online currently, it’s no secret there is still a major talent shortage, half of all European companies are struggling to fill data science positions, Studies performed by Indeed’s Hiring Lab show an, increase of 256% in data science job openings since 2013, with an increase of 31% year over year from as recent as December 2018. . So what does this mean for you as someone in data science, engineering or machine learning? While it’s good to have many recommendations on your profile, we’d suggest only approving those that feature your skills. Are there any specific skills that you look for that makes a candidate more likely to be successful? The Leiden Centre of Data Science (LCDS) is a network of researchers from different scientific domains within Leiden University with an interest and expertise in data science. It is advisable to keep in mind that when posting anywhere across LinkedIn, your comments will be visible for all to see. Data science is a vast, complex industry with many subsets. It’s time to make the most out of all that LinkedIn has to offer! Please check your browser settings or contact your system administrator. You could share mutual interests when it comes to the daily documentation of Elon Musks ambitious statements for example. You’d be surprised at just how many profiles do not include any profile or header images. Despite this number of Data Scientists available/in roles online currently, it’s no secret there is still a major talent shortage. the skills and endorsements section on your LinkedIn profile is of great value. If you’re open to new opportunities but aren’t accepting InMails, you could be missing out on new, exciting roles. By Dan Lewins, Social Media Manager at Big Cloud. , all whilst ensuring you’re selling yourself to the best of your ability. It will increase your chances of being a successful candidate when applying for roles – and that’s the end goal, right. 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. Engaging in group activity will lead to new ways in which you can be discovered and considered for new job opportunities. | by Jonas Schröder | Towards … If there is no information listed under each role, I’ll most likely move onto the next applicant –, A. 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. Also, candidates who don’t accept InMails are making a big mistake. Of course, there’s always going to be a crossover of skills between certain roles within our industry, 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. , we can see that this individual works at Big Cloud as a Social Media Manager. Alyesha specialises in global recruitment for Data Science, Machine Learning & Artificial Intelligence organisations. Yet the more information you are able to provide could benefit you in the long run. show you have experience in. within the role description. I am passionate about data science. Did you know that your LinkedIn profile displays your recent activity across the entire platform? It will give you a place of reference to always look back and reflect on. The Big Cloud recruitment team collectively hold more than 20+ years of experience in the talent search. You’d be surprised at just how many profiles do not include any profile or header images. Terms of Service. It becomes apparent within the first 5 – 10 seconds of browsing an applicants profile. A. 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! I think it would be hugely beneficial for data science applicants to make use of LinkedIn’s article writing as it’s great for raising awareness of who you are and gives recruiters more insight into your experience when browsing your profile. The company logo and branding is included, however, there are no insights shared of what this particular role entails. A strong candidate will have taken time to perfect their profile and communicate their professional experience. This will increase your likelihood of being contacted, all while ensuring you’re selling yourself to the best of your ability. There are start-ups, unicorns, and conglomerates that will want to work with you. LinkedIn에서 프로필을 보고 Jaeyong님의 1촌과 경력을 확인하세요. Whilst you may have one of the best pouts the internet has ever seen, LinkedIn is not the place for your weekend selfies or photos of your most precious feline friends. Keep all of your writing as human as possible. Also, candidates who don’t accept InMails are making a big mistake. This is how your recent activity is presented on your profile: Giving your audience insight into what you’re doing on LinkedIn showcases a number of things. We’ve all worked on a task or project at one point to support a colleague or separate department. I think it would be hugely beneficial for data science applicants to make use of LinkedIn’s article writing as it’s great for raising awareness of who you are and gives recruiters more insight into your experience when browsing your profile. They are only visible on your profile once you have approved them. 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. You’ve made it this far in setting up your page, but it begs the question, how else can you make use of LinkedIn? Q. When it comes to showcasing your strengths, the skills and endorsements section on your LinkedIn profile is of great value. When it comes to showcasing your strengths, the skills and endorsements section on your LinkedIn profile is of great value. Strive to have your capabilities, personality and work ethic credited through personal recommendations. The company logo and branding is included, however, there are no insights shared of what this particular role entails. . You can be certain that you’re not going to hear from many headhunters if you do not have this enabled. Chris Bradbury – (Deep Learning & Computer Vision Recruiter). 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. It represents us directly.’. If you’ve already published articles related to Machine Learning, Deep Learning, Artificial Intelligence & Data Science, repurpose these and upload them to your LinkedIn profile to support the growth of your network. 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. populated with professionals working within the same space, you need to focus on making yourself outshine the competition, 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, . Example 1: Here we can see that this individual is working at Big Cloud as a Social Media Manager. Your profile header is the first thing visitors to your page are going to see. – Avoid using technical jargon and buzzwords within your profile writing. For example, visitors of your page can see whom you are connected with, which topics you’re discussing, and the industries that you’re tapped into. – List your achievements and who it is that you want to connect with. Here’s an example from an Associate Director of Data Science: Your profile immediately becomes more attractive to recruiters when they’re able to get a clear insight into everything that you’ve worked on. Q. Your aim is to convey not only your strengths and abilities but also who you are as an individual. You’re helping them delve deeper into why you are a perfect fit for an exciting new job role. The less information you have available on your profile, the lower the chances of your account showing as fitting for a potential new role. A good or bad bio could mean the difference between receiving valuable opportunities or losing them. To not miss this type of content in the future. In addition to showcasing your best smile, you’ll also want to make sure that you have a header image that preferably relates to your area of expertise. Taken from a headhunters perspective, we take a look at what information is the most appealing when a job application is being reviewed. Better yet, include both if you have both. 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. According to Business Insider, LinkedIn has more than 500 million members, with 260 million users logging in each month. 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. Let’s say you’re working as a Data Scientist. It’s important not to miss the opportunity here to go into more detail about your role and responsibilities. For recruitment specialists, they want to be able to identify candidates who can offer organisations a unique set of skills. Welcome to our data science experience, this month Matteo Landrò, Data Scientist at SAS introduces his views on Model Management. You have the ability to list each individual role that you’ve worked in. . Are publications written by Data Scientists on LinkedIn important to you when you’re reviewing a job application? A. A. Including recommendations by people you’ve worked with before gives employers live references. I’d rather see a profile description that has a concise overview of key work objectives and experience, . You’d. Don’t be shy in communities, use them as an opportunity to network and learn something new. For recruitment specialists, they want to be able to identify candidates who can offer organisations a unique set of skills. 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You should use this section to feature the highlights that would be included in your CV and are of interest to potential employers. You will look as though you are not going to be responsive to any communications you might, Whilst you’re filling out this section of your profile, it would make good sense to update your CV at the same time. Don’t worry though, we’ve made this part easy by creating the only CV template you’ll ever need which you can download for free below. Here’s an example from an Associate Director of Data Science: Your profile immediately becomes more attractive to recruiters when they’re able to get a clear insight into everything that you’ve worked on. This will further outline your professional portfolio and capabilities. 2017-2019 | we can see that this individual works at Big Cloud as a Social Media Manager. Q. Strive to have your capabilities, personality and work ethic credited through personal recommendations. with data science professionals. It’s also a huge bonus if the candidate has listed examples of projects that they have worked on. Anything relating to your work ethic or knowledge within your field is great too! 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. You might be wondering however why you would need to keep on top of this if you’re not actively seeking out new opportunities. Make the most out of these features to assist in making your profile visually arresting. Additional contributions are documented within the role description. We are transforming how the world interacts with data through innovative and nontraditional content - datasciconnect.com | … AppsFlyer is the world largest mobile attribution platform, as such the company manages enormous amounts of data. Recruiters often comment on the lack of professionalism that comes across from writing about yourself in the third person. 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. You’d be surprisedhow many applications I receive from Data Scientists that do not include any references to projects that they have worked on – Alyesha Sayle – Senior Technical Recruiter (Language Technologies, Explainable AI & People Analytics), Having lots of text in your profile summary is off-putting and unnecessary. See this as a chance to showcase yourself as more than, Whilst it’s good to have many recommendations on your profile, we’d suggest only approving those that feature your skills. Be straight to the point and avoid confusing individual areas of your expertise when you list them. 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. 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. You will look as though you are not going to be responsive to any communications you might be sent. Joining groups is a great way to meet new people who share common interests with you. A. Of course, there are considerations you’ll need think about when taking your headshot photos. Gone are the days of scouring the loft of your parents house to hunt for the family polaroid to get the perfect headshot. . Example 2: Here, we can see that this individual works at Big Cloud as a Social Media Manager. A. With over 575 million registered users and more than 260 million of those active on a monthly basis, LinkedIn is. This is how your recent activity is presented on your profile: Giving your audience insight into what you’re doing on LinkedIn showcases a number of things. This is where interests come in. Your goal is to communicate your expertise and individuality whilst maintaining a clear and concise description of your professional profile. So what does this mean for you as someone in data science, engineering, or machine learning? Nobody wants to read through war and peace when visiting a LinkedIn profile. Detailing your past and present roles provide recruiters with the most detailed insight. A report by Ryan Swanstrom demonstrates the comparison of skills included on LinkedIn profiles for data scientists, software engineers and data engineers. A. It doesn’t have to be professional! This can become a great resource at a later stage in your career as you’ll have a record of your personal progression. There are too many candidates out there applying for jobs that fail to either possess or include key skills such as Python, Data Science, Machine Learning & AWS. – Include multimedia within your profile. Not only do you see posts from connections in your network, but also activity from groups and communities you join or follow. With over 575 million registered users and more than 260 million of those active on a monthly basis, LinkedIn is, You have the opportunity to connect with influencers, decision-makers and leaders within your industry, The social networking platform bridges the gap between candidates and clients, which has led to more than 75% of professionals now using LinkedIn. When it comes to working within data science, most organisations are looking for candidates with a core set of industry-standard skills. 세계 최대의 비즈니스 인맥 사이트 LinkedIn에서 Jaeyong An님의 프로필을 확인하세요. This will inform their decision when making a change in their careers. 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. When posting content or comments that demonstrate your opinion on a particular topic, it is considered best practice to refrain from engaging in negative activity. As J.T. Being able to dive right into an applicants background and ability always stands out to me when I’m reviewing applications and I’ll be more inclined to contact candidates who have considered including this information – Jess Bergin – Senior Technical Candidate Recruiter (Machine Learning, NLP & Conversational AI). About. Tweet Detailing your past and present roles provide recruiters with the most detailed insight. You’ve made it this far in setting up your page, but it begs the question, how else can you make use of LinkedIn? It means I can direct them to more relevant and exciting roles, and nobody's time is wasted. Q. Not only that, but you’ll also upload your cv directly to a new opportunity. Including recommendations by people you’ve worked with before gives employers live references. What would you recommend to a data science LinkedIn candidate who wanted to stand out when applying for a job? I’d rather see a profile description that has a concise overview of key work objectives and experience. 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. You’d be surprised how many applications I receive from Data Scientists that do not include any references to projects that they have worked on – Alyesha Sayle – Senior Technical Recruiter (Language Technologies, Explainable AI & People Analytics). Most smartphones such as the iPhone now have ‘Portrait’ mode which allow you to take a professional looking profile photos in a matter of seconds. Anything relating to your work ethic or knowledge within your field is great too! Using groups will allow you to join communities and make connections with others who relate to your areas of interest. Download all photos and use them even for commercial projects. Anything relating to your work ethic or knowledge within your field is great too! Despite this number of Data Scientists available/in roles online currently, it’s no secret there is still a major talent shortage. We can guarantee it. This means you could be a great candidate but might not be contacted because your profile doesn’t reflect who you are and what you can do. – Analyse data for trends and patterns and interpret data with a clear objective in mind. Act as pre-sales engineer helping the growth team put these new products in the market and also conduct strategic partnerships with important players such as Google and Facebook. You can include multimedia assets such as photos, videos & links that provide evidence of your role. . – Include multimedia within your profile. Data science is a vast, complex industry with many subsets. This near enough always encourages me to keep reading through their information. – Create your own content – LinkedIn enables you to upload documents. var disqus_shortname = 'kdnuggets'; Taken from a headhunter perspective, we take a look at what information is the most appealing when a job application is being reviewed. This is a lot of information to convey to somebody who doesn’t already know Alyesha, however when visiting her LinkedIn profile, we’re able to identify exactly what Alyesha does due to her profile being optimised effectively to communicate her job role and the company she works for. Data science is a vast, complex industry with many subsets. Adel has 6 jobs listed on their profile. A comparison of skills listed on LinkedIn by Data Scientists, Software Engineers & Data Engineers. You can include multimedia assets such as photos, videos & links that provide evidence of your role. The benefits of keeping your LinkedIn profile up to date are pretty obvious. O’Donnell (founder and CEO of Work It Daily) puts it, ‘a LinkedIn profile is ‘ours to manage. You’re helping them delve deeper into why you are a perfect fit for an exciting new job role. You have the opportunity to connect with influencers, decision-makers, and leaders within your industry. Also, candidates who don’t accept InMails are making a big mistake. A. See this as a chance to showcase yourself as more than just another face on a screen. La data science devrait figurer en haut de la liste des sujets prioritaires pour toute équipe de formation et développement. A strong candidate will have taken time to perfect their profile and communicate their professional experience, . Better yet, include both if you have both. They have a break down of what the role entails exactly. For example, visitors of your page can see who you are connected with, which topics you’re discussing and the industries that you’re tapped into. – Carsten Jahn – Recruiting AI Experts (ML/DL, CV, NLP & Robo). This is where interests come in. Buzzword Bingo. 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. Data Science LinkedIn Experience and Work History. Top 10 LinkedIn Groups for Data Science Professionals | by Digital … By default, your 4 most recent interactions with other users across the whole of LinkedIn will be displayed in your activity feed within your profile. You should use this section to feature the highlights that would be included in your CV and are of interest to potential employers. For me, I just need 3 – 4 sentences on each role that a candidate has held with a clear list of the tech they’ve worked on, whether that be in the profile summary or listed in keywords. Now that you’ve given your profile a whole new lick of paint let’s check some basic settings. 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