Anything relating to your work ethic or knowledge within your field is great too! Because doing so gives others full transparency of your skills and experience which could be exactly what they are looking for. 0 Comments The ‘about’ section immediately follows your header. . 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. Word of mouth still is and always will be one of the most important forms of referral. Additional contributions are documented within the role description. Also, candidates who don’t accept InMails are making a big mistake. O’Donnell (founder and CEO of Work It Daily) puts it, ‘a LinkedIn profile is ‘ours to manage. This is an immediate deterrent for recruitment and HR professionals. Essential Math for Data Science: Integrals And Area Under The ... How to Incorporate Tabular Data with HuggingFace Transformers. 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. Most certainly yes. – Create your own content – LinkedIn enables you to upload documents. Data Science, and Machine Learning. Leiden Centre of Data Science | 266 volgers op LinkedIn. It becomes apparent within the first 5 – 10 seconds of browsing an applicants profile. You might be wondering,  however why you would need to keep on top of this if you’re not actively seeking out new opportunities. It’s refreshing when candidates have distinctly. You’re helping them delve deeper into why you are a perfect fit for an exciting new job role. The benefits of keeping your LinkedIn profile up to date are pretty obvious. It means I can direct them to more relevant and exciting roles, and nobody's time is wasted. 2015-2016 | You’re a hot commodity. According to Business Insider, LinkedIn has more than 500 million members, with 260 million users logging in each month. This can become a great resource at a later stage in your career as you’ll have a record of your personal progression. This will inform their decision when making a change in their careers. When it comes to showcasing your strengths, the skills and endorsements section on your LinkedIn profile is of great value. It will increase your chances of being a successful candidate when applying for roles – and that’s the end goal, right. Now, this section is where you’re going to get the bulk of your information laid out in your profile. 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. For the majority of employers, being able to work as part of a team is a mandatory requirement. They have a break down of what the role entails exactly. You have the ability to list each individual role that you’ve worked in. This includes achievements within your roles listed on your profile. – Make use of data science LinkedIn groups. There are start-ups, unicorns, and conglomerates that will want to work with you. 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, this section is where you’re going to get the bulk of your information laid out in your profile. , all whilst ensuring you’re selling yourself to the best of your ability. 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 will inform their decision when making a change in their careers. He devotes his time with Data Science Nigeria, the leading AI Company in Nigeria as a Research and Innovation Intern on projects and researchs. AppsFlyer is the world largest mobile attribution platform, as such the company manages enormous amounts of data. To date, there are more than 830,000 data science LinkedIn profiles registered worldwide. A report by Ryan Swanstrom demonstrates the comparison of skills included on LinkedIn profiles for data scientists, software engineers, and data engineers. Privacy Policy  |  It doesn’t have to be professional! We’ve all worked on a task or project at one point to support a colleague or a separate department. “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. What would you recommend to a data science LinkedIn candidate who wanted to stand out when applying for a job? LinkedIn에서 프로필을 보고 Jaeyong님의 1촌과 경력을 확인하세요. You have the ability to list each individual role that you’ve worked in. Treat this section as an opportunity to document your work within each role well. Better still, support your skillset within the context of a project description. You will look as though you are not going to be responsive to any communications you might be sent. There are start-ups, unicorns, and conglomerates that will want to work with you. This near enough always encourages me to keep reading through their information. By now, you should have a good idea of what happened to the many job applications you made before you updated your LinkedIn profile. The ‘about’ section immediately follows your header. I am passionate about data science. There are start-ups, unicorns, and conglomerates that will want to work with you. Why? The 4 Stages of Being Data-driven for Real-life Businesses. 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. . You’re helping them delve deeper into why you are a perfect fit for an exciting new job role. Strive to have your capabilities, personality and work ethic credited through personal recommendations. You will look as though you are not going to be responsive to any communications you might be sent. – Implement analytical models into production by collaborating with software developers and machine learning engineers. Because doing so gives others full transparency of your skills and experience which could be exactly what they are looking for. 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 time to make the most out of all that LinkedIn has to offer! You’ve made it this far in setting up your page, but it begs the question, how else can you make use of LinkedIn? This is an immediate deterrent for recruitment and HR professionals. Not only that, but you’ll also upload your cv directly to a new opportunity. Because doing so gives others full transparency of your skills and experience which could be exactly what they are looking for. Captivated with the "anything is possible" mentality and agile development process in startups. It’s imperative you optimise your skillsets on LinkedIn, and you should start now! In addition to showcasing your best smile, you’ll also want to make sure that you have a header image which preferably relates to your area of expertise. Use every line within your profile description to sell what it is that you do and what you can offer. A strong candidate will have taken time to perfect their profile and communicate their professional experience, . Not only do you see posts from connections in your network, but also activity from groups and communities you join or follow. Treat this section as an opportunity to document your work within each role well. Data science training has to be top of mind for any learning and development team. Hadrien Lacroix | Paris, Île-de-France, France | Data Science Curriculum Manager at DataCamp | 500+ relations | Voir le profil complet de Hadrien sur LinkedIn et se connecter , professionals working within Data Science, Machine Learning & Artificial Intelligence organisations. 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. 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. Highly creative, self-motivated, committed to staying current on innovation in technology, computer science, data science and engineering. 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 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. 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. Take the time to check you have your settings optimised so that you can be contacted by a recruiter. It doesn’t have to be professional! You might be wondering however why you would need to keep on top of this if you’re not actively seeking out new opportunities. They will list the company they work for and the date range in which they’re employed at that company. Detailing your past and present roles provide recruiters with the most detailed insight. show you have experience in. You’d be surprised at just how many profiles do not include any profile or header images. 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. Here, you can highlight your specialisms with reaffirmation from your peers. For example; If you’re a data science professional, your skills might include some of the following: Word of mouth still is and always will be one of the most important forms of referral. Driving business decisions using data science and machine … 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. 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). It’s imperative you optimise your skillsets on LinkedIn, and you should start now! 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. Make the most out of these features to assist in making your profile visually arresting. You can be certain that you’re not going to hear from many headhunters if you do not have this enabled. – List your achievements and who it is that you want to connect with. Not including any images in your profile gives the impression that you are not active on the platform. It’s worth considering that in your busy schedule, you might have overlooked certain aspects of your work. Not including any images in your profile gives the impression that you are not active on the platform. 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. Alyesha Sayle is a Senior Technical Recruiter at Big Cloud recruitment. The way we see it, the more effort you put into your profile, the more opportunity you will see from it. It’s worth considering that in your busy schedule, you might have overlooked certain aspects of your work. It’s also a huge bonus if the candidate has listed examples of projects that they have worked on. Recruiters often comment on the lack of professionalism that comes across from writing about yourself in the third person. Only list skills that you can clearlyshow you have experience in. Keep all of your writing as human as possible. 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. How quickly can you tell if a data science candidate is a strong fit for the role? They are only visible on your profile once you have approved them. Your profile header is the first thing visitors to your page are going to see. Did you know that your LinkedIn profile displays your recent activity across the entire platform? You’d be surprised at just how many profiles do not include any profile or header images. If you have these included in your profile, it makes a big difference. Now that you’ve given your profile a whole new lick of paint let’s check some basic settings. – Analyse data for trends and patterns and interpret data with a clear objective in mind. (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. . If you have these included in your profile, it makes a big difference. Leading the data science group at appsflyer. 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. As J.T. Do pay attention to any references written by your colleagues and superiors. Despite this number of Data Scientists available/in roles online currently, it’s no secret there is still a major talent shortage. If you have these included in your profile, it makes a big difference. Feel ready to apply for your next data science, machine learning & artificial intelligence role? with data science professionals. When it comes to showcasing your strengths, the skills and endorsements section on your LinkedIn profile is of great value. Alyesha specialises in global recruitment for Data Science, Machine Learning & Artificial Intelligence organisations. Also, candidates who don’t accept InMails are making a big mistake. A. Buzzword Bingo. By now you should have a good idea of what happened to the many job applications you made before you updated your LinkedIn profile. Book 1 | You’re helping them delve deeper into why you are a perfect fit for an exciting new job role. Remember that LinkedIn is saturated with data science professionals. 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’s also worth noting that your interests are visible to your profile visitors. 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. You’re a hot commodity. Consider the ‘about’ section as nothing more than a summary. Example 1: Here we can see that this individual is working at Big Cloud as a Social Media Manager. 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. I operate using leading-edge technologies to unveil the full power of Big Data Analysis and Machine Learning in order to solve complex Data Science and Business Intelligence tasks across multiple domains and industry sectors. . Not including any images in your profile gives the impression that you are not active on the platform, . 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. – Execute analytical experiments to help solve various problems, making a true impact across various domains and industries. 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. Example 2: Here we can see that this individual works at Big Cloud as a Social Media Manager. Let’s say you’ve described yourself as a team player in your profile description. 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. 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. 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. Let’s say you’re working as a Data Scientist. ONUIGWE VITUS is an AI Researcher, a Mentor, an Ambassador at deeplearning.ai, and the Team Lead Pie & AI Abuja. Take the time to check you have your settings optimised so that you can. 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. 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. Book 2 | 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. 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. Joining groups is a great way to meet new people who share common interests with you. See the complete profile on LinkedIn and discover Adel’s connections and jobs at similar companies. Vikalp Gajbhiye | Gurgaon, Haryana, India | Manager, Data Science at Amazon | 500+ connections | View Vikalp's homepage, profile, activity, articles Example 1: Here we can see that this individual is working at Big Cloud as a Social Media Manager. You can include multimedia assets such as photos, videos & links that provide evidence of your role. Not only that, but you’ll also be upload your your cv directly to a new opportunity. They will list the company they work for and the date range in which they’re employed at that company. Showcase your expertise by writing articles surrounding your specialist subject, reactions to industry trends and events in support of generating a following amongst your industry. This can become a great resource at a later stage in your career as you’ll have a record of your personal progression. If you’re open to new opportunities but aren’t accepting InMails, you could be missing out on new, exciting roles. 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. 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. If you don’t let recruiters know that you’re looking for new opportunities, you’re not going to hear from. So what does this mean for you as someone in data science, engineering or machine learning? If you’re open to new opportunities but aren’t accepting InMails, you could be missing out on new, exciting roles. 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. As J.T. You’ve made it this far in setting up your page, but it begs the question, how else can you make use of LinkedIn? La data science devrait figurer en haut de la liste des sujets prioritaires pour toute équipe de formation et développement. 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. A. Joining groups is a great way to meet new people who share common interests with you. Welcome to our data science experience, this month Matteo Landrò, Data Scientist at SAS introduces his views on Model Management. Leading a team using data science and evidence driven decision making to address city based problems and make city life better for citizens. 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! Taken from a headhunters perspective, we take a look at what information is the most appealing when a job application is being reviewed. For the majority of employers, being able to work as part of a team is a mandatory requirement. This makes you more likely to become headhunted by organisations who are in need of candidates with your expertise! If you’re open to new opportunities but aren’t accepting InMails, you could be missing out on new, exciting roles. It’s also a huge bonus if the candidate has listed examples of projects that they have worked on. Engaging in a group activity will lead to new ways in which you can be discovered and considered for new job opportunities. Q. Joining groups is a great way to meet new people who share common interests with you. Of course, it might not always be appropriate for you to disclose every little detail about your role depending on your profession. As J.T. Anything relating to your work ethic or knowledge within your field is great too! – Include extracurricular activities, volunteer experience and additional spoken/written languages. Having an up to date CV will increase your appeal when you apply for jobs using LinkedIn’s EasyApply feature. We can guarantee it. When it comes to working within data science, most organisations are looking for candidates with a core set of industry-standard skills. Variations in roles oftentimes require such specific skillsets that positions are left unfilled for an average of up to 45 days. Are there any specific skills that you look for that makes a candidate more likely to be successful? | by Jonas Schröder | Towards … Take the time to check you have your settings optimised so that you can be contacted by a recruiter. It means I can direct them to more relevant and exciting roles and nobodies time, A. UNSW Data Science Society | 349 followers on LinkedIn | The first undergraduate Data Science Society in Australia | Hello and welcome! But why should I add all this information? 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. This is an immediate deterrent for recruitment and HR professionals. It’s imperative you optimise your skillsets on LinkedIn, and you should start now! Nobody wants to read through war and peace when visiting a LinkedIn profile. Better yet, include both if you have both. Your aim is to convey not only your strengths and abilities but also who you are as an individual. If there is no information listed under each role, I’ll most likely move onto the next applicant –, A. . ★ The very first brasilian podcast on Data Science ★ Pizza de Dados (PDD) is an initiative of 3 data science enthusiasts who have been discussing and exchanging matters, links and career advice. Find the best free stock images about data science. What are the most common mistakes you see on a data scientist profile? This will inform their decision when making a change in their careers. You’d. By Dan Lewins, Social Media Manager at Big Cloud. What are the most common mistakes you see on a data scientists profile? Your goal is to communicate your expertise and individuality while maintaining a clear and concise description of your professional profile. So what does this look like on 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, and AWS. You can include multimedia assets such as photos, videos & links that provide evidence of your role. It is advisable to keep in mind that when posting anywhere across LinkedIn, your comments will be visible for all to see. 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. . Cartoon: Thanksgiving and Turkey Data Science, Better data apps with Streamlit’s new layout options. They have a break down of what the role entails exactly. You have the opportunity to connect with influencers, decision-makers, and leaders within your industry. You can be certain that you’re not going to hear from many headhunters if you do not have this enabled. 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. A. Recruiters will use recommendations to verify your ability to perform within a given role. For recruitment specialists, they want to be able to identify candidates who can offer organisations a unique set of skills. 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. So what does this mean for you as someone in data science, engineering or machine learning? Using groups will allow you to join communities and make connections with others who relate to your areas of interest. The less information you have available on your profile, the lower the chances of your account showing as fitting for a potential new role. 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). Report an Issue  |  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. Let’s say you’ve described yourself as a team player in your profile description. sat down with the recruitment team to gain more insight into how you can avoid common mistakes frequented on data science profiles. How much information do you expect to see for each role listed on a LinkedIn profile? It will increase your chances of being a successful candidate when applying for roles – and that’s the end goal, right? Consider the ‘about’ section as nothing more than a summary. I also work closely with the engineering team to strategise and execute the development of data products. Is it just us, or do you hear crickets chirping whilst waiting for something to happen? Q. – Tom Harris – Principal Consultant (Data Science, Machine Learning, ... Q. Specifically, professionals working within Data Science, Machine Learning & Artificial Intelligence organisations. Use LinkedIn to be helpful, conversational and offer your opinion. You have the opportunity to connect with influencers, decision-makers, and leaders within your industry. Q. – 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. 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 just another face on a screen. 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. 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. The less information you have available on your profile, the lower the chances of your account showing as fitting for a potential new role. Terms of Service. How quickly can you tell if a data science candidate is a strong fit for the role? Is Your Machine Learning Model Likely to Fail? If you’re open to new opportunities but aren’t accepting InMails, you could be missing out on new, exciting roles. LinkedIn is the premier place for professionals to gather, connect with one another, share ideas, and network. – Tom Harris – Principal Consultant (Data Science, Machine Learning, Deep Learning, Computer Vision & Artificial Intelligence). Yet the more information you are able to provide could benefit you in the long run. So what does this mean for you as someone in data science, engineering, or machine learning? This leaves a lot of guesswork for a recruiter to identify where your strengths and expertise are. Your profile header is the first thing visitors to your page are going to see. 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. 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. Engaging in group activity will lead to new ways in which you can be discovered and considered for new job opportunities. Whilst you’re filling out this section of your profile, it would make good sense to update your CV at the same time. O’Donnell (founder and CEO of Work It Daily) puts it, ‘a LinkedIn profile is ‘ours to manage. sat down with the recruitment team to gain more insight into how you can avoid common mistakes frequented on data science profiles. 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. You could share mutual interests when it comes to the daily documentation of Elon Musks ambitious statements for example, we’ve covered the areas in which you can make the most out of your LinkedIn profile, let’s drill down into the data science recruitment process, hold more than 20+ years of experience in the talent search. It’s time to make the most out of all that LinkedIn has to offer! . You could share mutual interests when it comes to the daily documentation of Elon Musks' ambitious statements for example. As J.T. 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. 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. – Include multimedia within your profile. It is no different than Twitter, Instagram or Facebook. 2017-2019 | The way we see it, the more effort you put into your profile, the more opportunity you will see from it. Why Data Scientists Should Be Using LinkedIn. – Execute analytical experiments to help solve various problems, making a true impact across various domains and industries. Solutions Review’s editors have compiled this directory of the top data science LinkedIn groups for practitioners. With over 575 million registered users and more than 260 million of those active on a monthly basis, LinkedIn is. Of course, there are considerations you’ll need think about when taking your headshot photos. Of course, it might not always be appropriate for you to disclose every little detail about your role, depending on your profession. 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. For recruitment specialists, they want to be able to identify candidates who can offer organisations a unique set of skills. Be straight to the point and avoid confusing individual areas of your expertise when you list them. 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! Detailing your past and present roles provide recruiters with the most detailed insight. Top Stories, Nov 16-22: How to Get Into Data Science Without a... 15 Exciting AI Project Ideas for Beginners, Know-How to Learn Machine Learning Algorithms Effectively, Get KDnuggets, a leading newsletter on AI, It will give you a place of reference to always look back and reflect on. A. Better yet, include both if you have both. 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 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. It’s imperative you optimise your skillsets on LinkedIn, and you should start now! It’s also a huge bonus if the candidate has listed examples of projects that they have worked on. So I sought data on who is. 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! Example 2: Here, we can see that this individual works at Big Cloud as a Social Media Manager. 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. Keep your descriptions short and to the point, avoiding lengthy sentences and paragraphs. within the first 5 – 10 seconds of browsing an applicants profile. Expand upon your experience and career development to set yourself apart from the competition. 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. Of course, it might not always be appropriate for you to disclose every little detail about your role, depending on your profession. This may harm how are you perceived if scouted by recruiters for new career opportunities. We offer an open community platform to connect, educate and empower students will the skills to unlock the power of data science. Simple Python Package for Comparing, Plotting & Evaluatin... How Data Professionals Can Add More Variation to Their Resumes. – Identify relevant data sources and sets to mine for client business needs and collect large structured/unstructured datasets and variables. Including recommendations by people you’ve worked with before gives employers live references. Here’s how your recommendations will appear on your profile: Written recommendations will only come from individuals you’re connected with. Make the most out of these features to assist in making your profile visually arresting. – Identify relevant data sources and sets to mine for client business needs and collect large structured/unstructured datasets and variables. The Big Cloud recruitment team collectively holds more than 20+ years of experience in the talent search. Using groups will allow you to join communities and make connections with others who relate to your areas of interest. Here, you can highlight your specialisms with reaffirmation from your peers. Alyesha specialises in global recruitment for Data Science, Machine Learning & Artificial Intelligence organisations. In fact, according to a report by O’Reilly Media, nearly half of all European companies are struggling to fill data science positions.
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