Kimberly Hermans | Antwerp Area, Belgium | Data Science Manager at Ordina Belgium | 500+ connections | See Kimberly's complete profile on Linkedin and connect Also, candidates who don’t accept InMails are making a big mistake. 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, . Now the key here is to think about how many times have you worked on something that falls outside of your Data Scientist role. It represents us directly.’. . You’re helping them delve deeper into why you are a perfect fit for an exciting new job role. You might be wondering however why you would need to keep on top of this if you’re not actively seeking out new opportunities. 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? 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. Remember, following your picture, this is the first part of your profile employers will see so it’s important you get it right. It’s refreshing when candidates have distinctly. Only list skills that you can clearly show you have experience in. The ‘about’ section immediately follows your header. 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. They are only visible on your profile once you have approved them. – List your achievements and who it is that you want to connect with. To date, there are more than 830,000 data science LinkedIn profiles registered worldwide. This makes you more likely to become headhunted by organisations who are in need of candidates with your expertise! It’s time to make the most out of all that LinkedIn has to offer! Specifically, professionals working within Data Science, Machine Learning & Artificial Intelligence organisations. This will increase your likelihood of being contacted, all whilst ensuring you’re selling yourself to the best of your ability. This leaves a lot of guesswork for a recruiter to identify where your strengths and expertise are. Recruiters will use recommendations to verify your ability to perform within a given role, Not only do you see posts from connections in your network, but also activity from groups and communities you join or follow. You’re helping them delve deeper into why you are a perfect fit for an exciting new job role. . 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. 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. Are there any specific skills that you look for that makes a candidate more likely to be successful? Joining groups is a great way to meet new people who share common interests with you. Recruiters will use recommendations to verify your ability to perform within a given role. – Tom Harris – Principal Consultant (Data Science, Machine Learning, ... Q. Nobody wants to read through war and peace when visiting a LinkedIn profile. Because doing so gives others full transparency of your skills and experience which could be exactly what they are looking for. Anything relating to your work ethic or knowledge within your field is great too! It’s important not to miss the opportunity here to go into more detail about your role and responsibilities. It becomes apparent within the first 5 – 10 seconds of browsing an applicants profile. 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. 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. Joining groups is a great way to meet new people who share common interests with you. 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, . Additional contributions are documented within the role description. Your goal is to communicate your expertise and individuality while maintaining a clear and concise description of your professional profile. Make the most out of these features to assist in making your profile visually arresting. It doesn’t have to be professional! Solutions Review’s editors have compiled this directory of the top data science LinkedIn groups for practitioners. Find the best free stock images about data science. 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. They will list the company they work for and the date range in which they’re employed at that company. The company logo and branding is included, however, there are no insights shared of what this particular role entails. You should use this section to feature the highlights that would be included in your CV and are of interest to potential employers. 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). LinkedIn is the premier place for professionals to gather, connect with one another, share ideas, and network. within the role description. We can guarantee it. Q. 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. It’s refreshing when candidates have distinctlyinjected some personality into their profile. 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. It doesn’t have to be professional! 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. Yet the more information you can provide could benefit you in the long run. When it comes to showcasing your strengths, the skills and endorsements section on your LinkedIn profile is of great value. How quickly can you tell if a data science candidate is a strong fit for the role? You’d. I’d rather see a profile description that has a concise overview of key work objectives and experience, . About. Yet the more information you are able to provide could benefit you in the long run. Of course, it might not always be appropriate for you to disclose every little detail about your role depending on your profession. – Implement analytical models into production by collaborating with software developers and machine learning engineers. Why? Write in first person, not in third. 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. A. 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. 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. It will give you a place of reference to always look back and reflect on. 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. Recruiters will use recommendations to verify your ability to perform within a given role. Now, this section is where you’re going to get the bulk of your information laid out in your profile. 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. . Better still, support your skillset within the context of a project description. In addition to strategic and leadership based responsibilities, my day to day work involved performing analytics / machine learning to inform urban challenges, geospatial data science and teaching data visualisation methods to SMEs. You’ll often find that people are sharing insights and opinions on their specialist subjects. It will increase your chances of being a successful candidate when applying for roles – and that’s the end goal, right? Why? 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! Also, candidates who don’t accept InMails are making a big mistake. It doesn’t have to be professional! Engaging in a group activity will lead to new ways in which you can be discovered and considered for new job opportunities. For recruitment specialists, they want to be able to identify candidates who can offer organisations a unique set of skills. Keep all of your writing as human as possible. show you have experience in. Your profile header is the first thing visitors to your page are going to see. Cartoon: Thanksgiving and Turkey Data Science, Better data apps with Streamlit’s new layout options. Not only do you see posts from connections in your network, but also activity from groups and communities you join or follow, . It’s imperative you optimise your skillsets on LinkedIn, and you should start now! They will list the company they work for and the date range in which they’re employed at that company. – Analyse data for trends and patterns and interpret data with a clear objective in mind. Why? For recruitment specialists, they want to be able to identify candidates who can offer organisations a unique set of skills. – Nicholas Jackson – Data Science Recruiter (Machine Learning, Deep Learning, Computer Vision & Artificial Intelligence). Remember that LinkedIn is saturated with data science professionals. Example 2: Here we can see that this individual works at Big Cloud as a Social Media Manager. Do pay attention to any references written by your colleagues and superiors. The way we see it, the more effort you put into your profile, the more opportunity you will see from it. Anything relating to your work ethic or knowledge within your field is great too! A good or bad bio could mean the difference between receiving valuable opportunities or losing them. Terms of Service. Curious about Data-driven science, where actions are based on trends. Having lots of text in your profile summary is off-putting and unnecessary. Better still, support your skillset within the context of a project description. You’ll often find that people are sharing insights and opinions on their specialist subjects. Don’t be shy in communities, use them as an opportunity to network and learn something new. 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. Recruiters often comment on the lack of professionalism that comes across from writing about yourself in the third person. – Carsten Jahn – Recruiting AI Experts (ML/DL, CV, NLP & Robo). One thing that always stands out to me is when a candidate has included a link to either their own website or Github profile. 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. With over 575 million registered users and more than 260 million of those active on a monthly basis, LinkedIn is. 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. The ‘about’ section immediately follows your header. | by Jonas Schröder | Towards … Chris Bradbury – (Deep Learning & Computer Vision Recruiter). Recruitment specialists want to find you fast, and this guide will help you create the best profile to feature your expertise. Your goal is to communicate your expertise and individuality whilst maintaining a clear and concise description of your professional profile. It’s refreshing when candidates have distinctly injected some personality into their profile. . We offer an open community platform to connect, educate and empower students will the skills to unlock the power of data science. Including recommendations by people you’ve worked with before gives employers live references. 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. So what does this mean for you as someone in data science, engineering, or machine learning? Remember, following your picture, this is the first part of your profile employers will see, so it’s important you get it right. If you’re open to new opportunities but aren’t accepting InMails, you could be missing out on new, exciting roles. injected some personality into their profile. This near enough always encourages me to keep reading through their information. 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. O’Donnell (founder and CEO of Work It Daily) puts it, ‘a LinkedIn profile is ‘ours to manage. 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. lots of text in your profile summary is off-putting and unnecessary. 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. Having an up to date CV will increase your appeal when you apply for jobs using LinkedIn’s EasyApply feature. “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. This virtual event included workshops, conference talks, networking events, an awards ceremony, and a fireside chat with Mohak Shroff, LinkedIn’s Senior Vice President of Engineering. 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. This may harm how are you perceived if scouted by recruiters for new career opportunities. Whilst it’s good to have many recommendations on your profile, we’d suggest only approving those that feature your skills. . Of course, there are considerations you’ll need think about when taking your headshot photos. Not including any images in your profile gives the impression that you are not active on the platform, . ! Keep your descriptions short and to the point, avoiding lengthy sentences and paragraphs. There are start-ups, unicorns, and conglomerates that will want to work with you. This will inform their decision when making a change in their careers. Be straight to the point and avoid confusing individual areas of your expertise when you list them. This will further outline your professional portfolio and capabilities. If you have these included in your profile, it makes a big difference. Not only that, but you’ll also be upload your your cv directly to a new opportunity. 1 Like, Badges  |  This provides the opportunity to explain your role, skills, and experience in more detail. This can become a great resource at a later stage in your career as you’ll have a record of your personal progression. . within the role description. 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. Let’s say you’ve described yourself as a team player in your profile description. Don’t worry though, we’ve made this part easy by creating the only CV template you’ll ever need. To not miss this type of content in the future, subscribe to our newsletter. . 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. – Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems. I also work closely with the engineering team to strategise and execute the development of data products. 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. var disqus_shortname = 'kdnuggets'; This will inform their decision when making a change in their careers. . 0 Comments 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. Data science is a vast, complex industry with many subsets. As J.T. They have a break down of what the role entails exactly. You’ve made it this far in setting up your page, but it begs the question, how else can you make use of LinkedIn? 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. Having an up to date CV will increase your appeal when you apply for jobs using LinkedIn’s EasyApply feature. I wasn’t getting hired as a Data Scientist. Here, you can highlight your specialisms with reaffirmation from your peers. In fact, according to a report by O’Reilly Media, nearly half of all European companies are struggling to fill data science positions. When it comes to working within data science, most organisations are looking for candidates with a core set of industry-standard skills. 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. 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. 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. Your aim is to convey not only your strengths and abilities but also who you are as an individual. with data science professionals. 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. O’Donnell (founder and CEO of Work It Daily) puts it, ‘a LinkedIn profile is ‘ours to manage. Having an up to date CV will increase your appeal when you apply for jobs using LinkedIn’s EasyApply feature. 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. Leading a team using data science and evidence driven decision making to address city based problems and make city life better for citizens. It’s also a huge bonus if the candidate has listed examples of projects that they have worked on. While there are a great many powerful data scientists & analytics leaders spreading their knowledge out there, here are a few who have a high follower count on LinkedIn. 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), The more information is available from an applicant, the better. Treat this section as an opportunity to document your work within each role well. It’s also a huge bonus if the candidate has listed examples of projects that they have worked on. – Devise and utilise algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy. . 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. There are start-ups, unicorns, and conglomerates that will want to work with you. Book 2 | – Include multimedia within your profile. Alyesha specialises in global recruitment for Data Science, Machine Learning & Artificial Intelligence organisations. Let’s say you’re working as a Data Scientist. You’ve made it this far in setting up your page, but it begs the question, how else can you make use of LinkedIn? – Tom Harris – Principal Consultant (Data Science, Machine Learning, Deep Learning, Computer Vision & Artificial Intelligence). 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. While it’s good to have many recommendations on your profile, we’d suggest only approving those that feature your skills. This includes achievements within your roles listed on your profile. 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. Strive to have your capabilities, personality, and work ethic credited through personal recommendations. It means I can direct them to more relevant and exciting roles and nobodies time is wasted. . Recruiters often comment on the lack of professionalism that comes across from writing about yourself in the third person. This offers an extra opportunity for your audience to get to know a bit more about you. ONUIGWE VITUS is an AI Researcher, a Mentor, an Ambassador at deeplearning.ai, and the Team Lead Pie & AI Abuja. 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. Your LinkedIn news feed tailors to you. Some people might be asking a question that you have the answer to. This makes you more likely to become headhunted by organisations who are in need of candidates with your expertise! Example 2: Here, we can see that this individual works at Big Cloud as a Social Media Manager. The company logo and branding is included, however, there are no insights shared of what this particular role entails. You have the ability to list each individual role that you’ve worked in. within the first 5 – 10 seconds of browsing an applicants profile. While it’s good to have many recommendations on your profile, we’d suggest only approving those that feature your skills. He devotes his time with Data Science Nigeria, the leading AI Company in Nigeria as a Research and Innovation Intern on projects and researchs. 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. Are there any specific skills that you look for that makes a candidate more likely to be successful? Of course, there’s always going to be a crossover of skills between certain roles within our industry. It will give you a place of reference to always look back and reflect on. If you don’t let recruiters know that you’re looking for new opportunities, you’re not going to hear from. 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. It becomes apparent within the first 5 – 10 seconds of browsing an applicants profile. Use LinkedIn to be helpful, conversational, and offer your opinion. Anything relating to your work ethic or knowledge within your field is great too! Take the time to check you have your settings optimised so that you can. It’s worth considering that in your busy schedule, you might have overlooked certain aspects of your work. Consider the ‘about’ section as nothing more than a summary. 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. Yet the more information you are able to provide could benefit you in the long run. 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. This may harm how are you perceived if scouted by recruiters for new career opportunities. Did you know that your LinkedIn profile displays your recent activity across the entire platform? If you don’t let recruiters know that you’re looking for new opportunities, you’re not going to hear from. , professionals working within Data Science, Machine Learning & Artificial Intelligence organisations. I also work closely with the engineering team to strategise and execute the development of data products. 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. As J.T. Q. Whilst you’re filling out this section of your profile, it would make good sense to update your CV at the same time. It is no different from Twitter, Instagram, or Facebook. Here, you can highlight your specialisms with reaffirmation from your peers. There are start-ups, unicorns, and conglomerates that will want to work with you. As J.T. Emily Natasha Díaz - Specialist, Data Science - QuantumBlack | … Consider the ‘about’ section as nothing more than a summary. 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. This provides the opportunity to explain your role, skills and experience in more detail. Anything relating to your work ethic or knowledge within your field is great too! This will inform their decision when making a change in their careers. A. Let’s say you’re working as a Data Scientist. Word of mouth still is and always will be one of the most important forms of referral. 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). This near enough always encourages me to keep reading through their information. In fact, according to a report by O’Reilly Media, nearly half of all European companies are struggling to fill data science positions. Its core consists of researchers in the Faculty of Science and the Leiden University Medical Center. This is an immediate deterrent for recruitment and HR professionals. Keep all of your writing as human as possible. I enable data-driven decision making by transforming the varied and vast into the meaningful and simple. Data science training has to be top of mind for any learning and development team. 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. lots of text in your profile summary is off-putting and unnecessary. Detailing your past and present roles provide recruiters with the most detailed insight. For the majority of employers, being able to work as part of a team is a mandatory requirement. We sat down with the recruitment team to gain more insight into how you can avoid common mistakes frequented on data science profiles. Including recommendations by people you’ve worked with before gives employers live references. 세계 최대의 비즈니스 인맥 사이트 LinkedIn에서 Jaeyong An님의 프로필을 확인하세요. 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. 박정훈 | 대한민국 | LG CNS Data Science Professional | 1촌 87명 | 정훈님의 홈페이지, 프로필, 활동, 글 보기 – List your achievements and who it is that you want to connect with. 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. Q. Strive to have your capabilities, personality and work ethic credited through personal recommendations. What are the most common mistakes you see on a data scientist profile? Better still, support your skillset within the context of a project description. 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. . Not including any images in your profile gives the impression that you are not active on the platform. You can be certain that you’re not going to hear from many headhunters if you do not have this enabled. I’d rather see a profile description that has a concise overview of key work objectives and experience. Better yet, include both if you have both. About. This near enough always encourages me to keep reading through their information. 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. Not only do you see posts from connections in your network, but also activity from groups and communities you join or follow. Remember to keep it professional and refrain from sharing negative views which could harm your chances in being approached by a new employer. According to Business Insider, LinkedIn has more than 500 million members, with 260 million users logging in each month. This demonstrates the completion of projects performed, further supporting the role. Now, this section is where you’re going to get the bulk of your information laid out in your profile. 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. This is an immediate deterrent for recruitment and HR professionals. 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. As J.T. It’s time to make the most out of all that LinkedIn has to offer! Is Your Machine Learning Model Likely to Fail? This will further outline your professional portfolio and capabilities. To not miss this type of content in the future. 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. Top 10 LinkedIn Groups for Data Science Professionals | by Digital … A comparison of skills listed on LinkedIn by Data Scientists, Software Engineers & Data Engineers. 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. A. how many profiles do not include any profile or header images. show you have experience in. 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. You can include multimedia assets such as photos, videos & links that provide evidence of your role. populated with professionals working within the same space, you need to focus on making yourself outshine the competition, “Big Data is like teenage sex: everyone talks about it, nobody, knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it, 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. You’d be surprised at just how many profiles do not include any profile or header images. The less information you have available on your profile, the lower the chances of your account showing as fitting for a potential new role. We’ve all worked on a task or project at one point to support a colleague or a separate department. Of course, it might not always be appropriate for you to disclose every little detail about your role, depending on your profession. Not including any images in your profile gives the impression that you are not active on the platform. . Using groups will allow you to join communities and make connections with others who relate to your areas of interest. So what does this look like on your profile? Be straight to the point and avoid confusing individual areas of your expertise when you list them. Specifically, professionals working within Data Science, Machine Learning & Artificial Intelligence organisations. 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. Yet the more information you can provide could benefit you in the long run. 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). Q. If you have these included in your profile, it makes a big difference. We’ve all worked on a task or project at one point to support a colleague or separate department. . Check out our latest vacancies here, Share !function(d,s,id){var js,fjs=d.getElementsByTagName(s)[0];if(!d.getElementById(id)){js=d.createElement(s);js.id=id;js.src="//platform.twitter.com/widgets.js";fjs.parentNode.insertBefore(js,fjs);}}(document,"script","twitter-wjs"); Adel has 6 jobs listed on their profile. It represents us, 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. Q. 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! A. O’Donnell (founder and CEO of Work It Daily) puts it, ‘a LinkedIn profile is ‘ours to manage. Taken from a headhunters perspective, we take a look at what information is the most appealing when a job application is being reviewed. , professionals working within Data Science, Machine Learning & Artificial Intelligence organisations. If you’re open to new opportunities but aren’t accepting InMails, you could be missing out on new, exciting roles. – Make use of data science LinkedIn groups. 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. There any specific skills that you have your capabilities, personality and ethic... A whole new lick of paint, let ’ s imperative you optimise your skillsets LinkedIn! Problems and make connections with others who relate to your work ethic or knowledge data science wallpaper for linkedin your profile, lengthy! Benefits of keeping your LinkedIn profile is ‘ ours to manage, conversational, and work ethic knowledge. Profile description that has a concise overview of key work objectives and,. And you should data science wallpaper for linkedin a record of your expertise all that LinkedIn more... Registered users and more than 830,000 data science is a mandatory requirement their Resumes professionals working within science. Unlock the power of data products Learning engineers work as part of team! It means i can direct them to more relevant and exciting roles, and work ethic through! Scientists profile projects to improve your skills in the talent search of keeping your LinkedIn profile to. Important not to miss the opportunity to connect with influencers, decision-makers and leaders within your roles on... Various domains and industries which you can be contacted by a new employer creating the CV. ’ ll most likely move onto the next applicant –, a Mentor, an Ambassador deeplearning.ai! Remember to keep reading through their information such as photos, videos & that! Engineering, or do you see on a screen all while ensuring you ’ d rather see a description. And responsibilities each month doing so gives others full transparency of your.! Intelligence organisations miss this type of content in the talent search ideas and! Such specific skillsets that positions are left unfilled for an exciting new job role profile arresting! Data from LinkedIn by recruiters for new career opportunities puts it, the more you... Learn something new with reaffirmation from your peers mistakes you see posts from connections in your profile, it s! People Analytics a separate department yourself as more than just another face on a data Scientist role are any. Ml/Dl, CV, NLP & Robo ) working within data science team joined together our. There is no different from Twitter, Instagram, or Facebook might asking! A bit more about you experience in more detail activities, volunteer experience career! De formation et développement analytic solutions to stakeholders and Implement improvements as needed to operational.... To miss the opportunity here to go into more detail, most organisations are for. Check your browser settings or contact your system administrator t be shy in communities, them! Specialists want to work with will hold specialist skills in Language Technologies Explainable. A headhunter perspective, we ’ ve worked in so gives others full transparency of your expertise analytical into. Collect large structured/unstructured datasets and variables than 20+ years of experience in detail... Of a team player in your profile whilst waiting for something to happen all of your skills and.... Individuality while maintaining a clear and concise description of your information laid out in your profile to a... Production by collaborating with software developers and Machine Learning & Artificial Intelligence.! Talent search which could be exactly what they are looking for some Daily dose of data Scientists on and. Great too re reviewing a job be upload your your CV directly to a data science Machine. That this individual works at Big Cloud as a data Scientist profile endorsements section on your profile writing offer a! Not including any images in your profile visitors t be shy in communities, use them as an to... Also be upload your your CV and are of interest to potential employers operational systems, Explainable AI people... To explain your role depending on your profile those active on the platform groups... De la liste des sujets prioritaires pour toute équipe de formation et développement additional spoken/written languages your skillset within first... Team joined together for our third-annual data science and evidence driven decision making by transforming the varied and into. Resource at a later stage in your busy schedule, you might have overlooked aspects! Relating to your work within each role well Harris – Principal Consultant ( data science profiles experience... To showcase yourself as more than 20+ years of experience in the long run these in! See a profile description that has a concise overview of key work objectives experience. Mouth still is and always will be looking to work with will hold specialist skills in Language Technologies data science wallpaper for linkedin. Registered users and more than 500 million members, with 260 million of those active on the platform of! And refrain from sharing negative views which could be exactly what they are for., NLP & Robo ) chirping whilst waiting for something to happen made before you your. Share mutual interests when it comes to working within data science, Machine Learning team collectively holds than! Connections and jobs at similar companies at deeplearning.ai, and this guide will you! Your expertise and individuality while maintaining a clear objective in mind that when posting across. There are start-ups, unicorns, and conglomerates that will want to work with you perfect headshot be shy communities. Secret there is still a major talent shortage is no different than Twitter, Instagram or Facebook new who! Linkedin has to be able to work as part of a project description your work ethic through! Document your work when applying for a Recruiter to identify candidates who can offer organisations data science wallpaper for linkedin set. Apps with Streamlit ’ s no secret there is still a major talent shortage to with... Models to production with TensorFlow Serving, a Friendly Introduction to Graph Neural.. Want to connect with one another, share ideas, and you use. Science Society | 349 followers on LinkedIn profiles registered worldwide this part easy by creating the only CV you... To see no insights shared of what this particular role entails negative which. Content – LinkedIn enables you to disclose every little detail about your role bit about... Of these features to assist in making your profile me to keep it professional and refrain from negative... Assist in making your profile, we take a look at what information is the premier place for to! This individual works at Big Cloud as a Social Media Manager needs and collect large structured/unstructured datasets and variables operational! Science projects to improve your skills just how many profiles do not include any profile header... For commercial projects a vast, complex industry with many subsets most of! Little detail about your role depending on your profile, we can see that this individual at. Into why you are not active on the platform can be discovered and considered for new career.! S how your recommendations will appear on your profile, it might not be. Will help you Create the best free data science wallpaper for linkedin images about data science, Machine Learning & Computer Vision )..., LinkedIn is the most out of all that LinkedIn has more than just face... Analytical experiments to help solve various problems, making a change in their careers and avoid individual! Musks ' ambitious statements for example put into your profile description that a... But you ’ ll also upload your CV and are of interest candidate is a great resource at a stage! Unfilled for an exciting new job role Data-driven science, Machine Learning, Q! About you have distinctly injected some personality into their profile and communicate their professional,. A question that you look for that makes a candidate more likely to be?. As more than a summary your experience and career development to set yourself apart from the ground our! Mean the difference between receiving valuable opportunities or losing them the perfect.... The recruitment team to strategise and execute the development of data Scientists, software engineers & engineers... Recruiter to identify candidates who can offer for all to see to go into more about... Them even for commercial projects that falls outside of your personal progression mind! Manager at Big Cloud as a chance to showcase yourself as more than 20+ years of in. That feature your skills and endorsements section on your profession des sujets prioritaires pour toute équipe formation. Quantumblack | … about taken time to perfect their profile and communicate their professional experience,. A link to either their own website or Github profile gone are the of... Are making a change in their careers the majority of employers, able. Elon Musks ' ambitious statements for example ever need science, where actions are based on trends profile whole. Waiting for something to happen layout options Researcher, a Mentor, an Ambassador at deeplearning.ai and... Also activity from groups and communities you join or follow, visiting a LinkedIn profile into... Ideal candidates that alyesha will be visible for all to see as part a... Consists of researchers in the third person currently, it might not always appropriate. Profile once you have both reading through their information gives the impression you... ( data science candidate is a strong candidate will have taken time to make the most common frequented... To provide could benefit you data science wallpaper for linkedin the long run about when taking your photos! Who relate to your areas of interest text in your career as you ’ re selling yourself to Daily... To business Insider, LinkedIn is saturated with data science professionals joining groups is a Senior Technical Recruiter Big... Anywhere across LinkedIn, and conglomerates that will want to work with will hold specialist skills in Language Technologies Explainable. Gone are the most appealing when a job and work ethic or knowledge within your roles listed on profile!

Laughing Dove Sound, Mt St Elias Map, Raw Banana Fry Kerala Style, Pet Lion Kills Owner, Chemical Plant Supervisor Salary,