data science wallpaper for linkedin

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This is an immediate deterrent for recruitment and HR professionals. 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’re a hot commodity. 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. 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. Including recommendations by people you’ve worked with before gives employers live references. But why should I add all this information? A strong candidate will have taken time to perfect their profile and communicate their professional experience. There are start-ups, unicorns, and conglomerates that will want to work with you. 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. Leading a team using data science and evidence driven decision making to address city based problems and make city life better for citizens. He devotes his time with Data Science Nigeria, the leading AI Company in Nigeria as a Research and Innovation Intern on projects and researchs. This demonstrates the completion of projects performed, further supporting the role. ONUIGWE VITUS is an AI Researcher, a Mentor, an Ambassador at deeplearning.ai, and the Team Lead Pie & AI Abuja. It will increase your chances of being a successful candidate when applying for roles – and that’s the end goal, right? . We offer an open community platform to connect, educate and empower students will the skills to unlock the power of data science. A. They will list the company they work for and the date range in which they’re employed at that company. Better yet, include both if you have both. 박정훈 | 대한민국 | LG CNS Data Science Professional | 1촌 87명 | 정훈님의 홈페이지, 프로필, 활동, 글 보기 Whilst you’re filling out this section of your profile, it would make good sense to update your CV at the same time. Ideal candidates that Alyesha will be looking to work with will hold specialist skills in Language Technologies, Explainable AI, and People Analytics. So what does this look like on your profile? Q. 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. Keep your descriptions short and to the point, avoiding lengthy sentences and paragraphs. This is an immediate deterrent for recruitment and HR professionals. 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 may harm how are you perceived if scouted by recruiters for new career opportunities. 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, – As a lead data strategist, I identify and integrate new datasets that can. 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. – Create your own content – LinkedIn enables you to upload documents. Also, candidates who don’t accept InMails are making a big mistake. 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. Vikalp Gajbhiye | Gurgaon, Haryana, India | Manager, Data Science at Amazon | 500+ connections | View Vikalp's homepage, profile, activity, articles We sat down with the recruitment team to gain more insight into how you can avoid common mistakes frequented on data science profiles. 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. Be straight to the point and avoid confusing individual areas of your expertise when you list them. show you have experience in. – Avoid using technical jargon and buzzwords within your profile writing. 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. 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. 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). As J.T. 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. The Big Cloud recruitment team collectively hold more than 20+ years of experience in the talent search. By now, you should have a good idea of what happened to the many job applications you made before you updated your LinkedIn profile. – Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems. We can guarantee it. Its core consists of researchers in the Faculty of Science and the Leiden University Medical Center. 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. 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. What would you recommend to a data science LinkedIn candidate who wanted to stand out when applying for a job? 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. 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. Also, candidates who don’t accept InMails are making a big mistake. You’re helping them delve deeper into why you are a perfect fit for an exciting new job role. . This includes achievements within your roles listed on your profile. Of course, it might not always be appropriate for you to disclose every little detail about your role depending on your profession. 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. 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. sat down with the recruitment team to gain more insight into how you can avoid common mistakes frequented on data science profiles. The social networking platform bridges the gap between candidates and clients, which has led to more than 75% of professionals now using LinkedIn. It’s refreshing when candidates have distinctlyinjected some personality into their profile. Q. the skills and endorsements section on your LinkedIn profile is of great value. Working with job … It’s also worth noting that your interests are visible to your profile visitors. Last week, the global LinkedIn Data Science team joined together for our third-annual Data Science Week. Jaeyong님의 프로필에 경력 4개가 있습니다. Consider the ‘about’ section as nothing more than a summary. The social networking platform bridges the gap between candidates and clients, which has led to more than 75% of professionals now using LinkedIn. Why? 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. For the majority of employers, being able to work as part of a team is a mandatory requirement. 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. This includes achievements within your roles listed on your profile. This will increase your likelihood of being contacted, all while ensuring you’re selling yourself to the best of your ability. To date, there are more than 830,000 data science LinkedIn profiles registered worldwide. I also work closely with the engineering team to strategise and execute the development of data products. 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. O’Donnell (founder and CEO of Work It Daily) puts it, ‘a LinkedIn profile is ‘ours to manage. Is it just us, or do you hear crickets chirping while waiting for something to happen? Yet the more information you can provide could benefit you in the long run. Example 2: Here we can see that this individual works at Big Cloud as a Social Media Manager. This leaves a lot of guesswork for a recruiter to identify where your strengths and expertise are. This includes achievements within your roles listed on your profile. – Analyse data for trends and patterns and interpret data with a clear objective in mind. It becomes apparent within the first 5 – 10 seconds of browsing an applicants profile. It will give you a place of reference to always look back and reflect on. We can guarantee it. Use every line within your profile description to sell what it is that you do and what you can offer. Recruiters will use recommendations to verify your ability to perform within a given role. They have a break down of what the role entails exactly. They are only visible on your profile once you have approved them. This will inform their decision when making a change in their careers. Whilst it’s good to have many recommendations on your profile, we’d suggest only approving those that feature your skills. About. 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. 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). 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. – Analyse data for trends and patterns and interpret data with a clear objective in mind. Don’t be shy in communities, use them as an opportunity to network and learn something new. It’s imperative you optimise your skillsets on LinkedIn, and you should start now! Of course, there’s always going to be a crossover of skills between certain roles within our industry. Solutions Review’s editors have compiled this directory of the top data science LinkedIn groups for practitioners. Better yet, include both if you have both. Why? It is no different than Twitter, Instagram or Facebook. Better still, support your skillset within the context of a project description. Q. Not only do you see posts from connections in your network, but also activity from groups and communities you join or follow. Data science is a vast, complex industry with many subsets. You’re a hot commodity. So what does this mean for you as someone in data science, engineering or machine learning? See this as a chance to showcase yourself as more than just another face on a screen. When it comes to working within data science, most organisations are looking for candidates with a core set of industry-standard skills. Report an Issue  |  Recruiters often comment on the lack of professionalism that comes across from writing about yourself in the third person. This makes you more likely to become headhunted by organisations who are in need of candidates with your expertise! How quickly can you tell if a data science candidate is a strong fit for the role? Remember that LinkedIn is saturated with data science professionals. within the first 5 – 10 seconds of browsing an applicants profile. 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. Let’s say you’ve described yourself as a team player in your profile description. . I am passionate about data science. It is no different from Twitter, Instagram, or Facebook. You’re helping them delve deeper into why you are a perfect fit for an exciting new job role. 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. If you have these included in your profile, it makes a big difference. 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. A strong candidate will have taken time to perfect their profile and communicate their professional experience, . – Execute analytical experiments to help solve various problems, making a true impact across various domains and industries. Ideal candidates that Alyesha will be looking to work with will hold specialist skills in Language Technologies, Explainable AI and People Analytics. It’s also a huge bonus if the candidate has listed examples of projects that they have worked on. (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. . Feel ready to apply for your next data science, machine learning & artificial intelligence role? 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. The company logo and branding is included, however, there are no insights shared of what this particular role entails. Recruitment specialists want to find you fast, and this guide will help you create the best profile to feature your expertise. They will list the company they work for and the date range in which they’re employed at that company. A report by Ryan Swanstrom demonstrates the comparison of skills included on LinkedIn profiles for data scientists, software engineers and data engineers. Find the best free stock images about data science. Strive to have your capabilities, personality and work ethic credited through personal recommendations. You might be wondering however why you would need to keep on top of this if you’re not actively seeking out new opportunities. 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. There will be those that share similar experience and skills as you, so you’ll want to make a conscious effort to keep your profile clear and concise. The ‘about’ section immediately follows your header. If you’re open to new opportunities but aren’t accepting InMails, you could be missing out on new, exciting roles. Engaging in group activity will lead to new ways in which you can be discovered and considered for new job opportunities. . It becomes apparent within the first 5 – 10 seconds of browsing an applicants profile. 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"); It is advisable to keep in mind that when posting anywhere across LinkedIn, your comments will be visible for all to see. . Now that you’ve given your profile a whole new lick of paint let’s check some basic settings. 2015-2016 | 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. The less information you have available on your profile, the lower the chances of your account showing as fitting for a potential new role. Data science is a vast, complex industry with many subsets. This will inform their decision when making a change in their careers. – List your achievements and who it is that you want to connect with. Why Data Scientists Should Be Using LinkedIn. A comparison of skills listed on LinkedIn by Data Scientists, Software Engineers & Data Engineers. A. , professionals working within Data Science, Machine Learning & Artificial Intelligence organisations. If there’s no evidence that you have applied your experience to any given project, it implies you’re not qualified for the role you’re applying for, how many applications I receive from Data Scientists that do not include any references to projects that they have worked on. 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. Not including any images in your profile gives the impression that you are not active on the platform, . Data Science LinkedIn Experience and Work History. 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. We are transforming how the world interacts with data through innovative and nontraditional content - datasciconnect.com | … It’s imperative you optimise your skillsets on LinkedIn, and you should start now! 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. (function() { var dsq = document.createElement('script'); dsq.type = 'text/javascript'; dsq.async = true; dsq.src = 'https://kdnuggets.disqus.com/embed.js'; We’ve all worked on a task or project at one point to support a colleague or separate department. Yet the more information you can provide could benefit you in the long run. Make the most out of these features to assist in making your profile visually arresting. 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. We’d suggest making a start here. . Archives: 2008-2014 | 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 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. 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. 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. 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. It will increase your chances of being a successful candidate when applying for roles – and that’s the end goal, right? This offers an extra opportunity for your audience to get to know a bit more about you. The Big Cloud recruitment team collectively holds more than 20+ years of experience in the talent search. This will increase your likelihood of being contacted, all whilst ensuring you’re selling yourself to the best of your ability. A report by Ryan Swanstrom demonstrates the comparison of skills included on LinkedIn profiles for data scientists, software engineers, and data engineers. Nobody wants to read through war and peace when visiting a LinkedIn profile. 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. Buzzword Bingo. It’s also a huge bonus if the candidate has listed examples of projects that they have worked on. Joining groups is a great way to meet new people who share common interests with you. See this as a chance to showcase yourself as more than just another face on a screen. 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. Strive to have your capabilities, personality and work ethic credited through personal recommendations. Detailing your past and present roles provide recruiters with the most detailed insight. View Adel Nehme’s profile on LinkedIn, the world’s largest professional community. It’s time to make the most out of all that LinkedIn has to offer! Simple Python Package for Comparing, Plotting & Evaluatin... How Data Professionals Can Add More Variation to Their Resumes. You’ve made it this far in setting up your page, but it begs the question, how else can you make use of LinkedIn? Remember to keep it professional and refrain from sharing negative views, which could harm your chances of being approached by a new employer. Also, candidates who don’t accept InMails are making a big mistake. 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. You’re a hot commodity. If there is no information listed under each role, I’ll most likely move onto the next applicant –, A. It’s time to make the most out of all that LinkedIn has to offer! It means I can direct them to more relevant and exciting roles, and nobody's time is wasted. Q. You should use this section to feature the highlights that would be included in your CV and are of interest to potential employers. For recruitment specialists, they want to be able to identify candidates who can offer organisations a unique set of skills. Now the key here is to think about how many times have you worked on something that falls outside of your Data Scientist role. 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. 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. 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. . lots of text in your profile summary is off-putting and unnecessary. To date, there are more than 830,000 data science LinkedIn profiles registered worldwide. A good or bad bio could mean the difference between receiving valuable opportunities or losing them. , we can see that this individual works at Big Cloud as a Social Media Manager. – Identify relevant data sources and sets to mine for client business needs and collect large structured/unstructured datasets and variables. To date, there are more than 830,000 data science LinkedIn profiles registered worldwide. How much information do you expect to see for each role listed on a LinkedIn profile? 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. A good or bad bio could mean the difference between receiving valuable opportunities or losing them. This is where interests come in. This is where interests come in. Remember, following your picture, this is the first part of your profile employers will see so it’s important you get it right. It doesn’t have to be professional! Do pay attention to any references written by your colleagues and superiors. This can become a great resource at a later stage in your career as you’ll have a record of your personal progression. 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. 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. 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, . How much information do you expect to see for each role listed on a LinkedIn profile? 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. You have the opportunity to connect with influencers, decision-makers, and leaders within your industry. Now, this section is where you’re going to get the bulk of your information laid out in your profile. So what does this look like on your profile? You’d. It’s imperative you optimise your skillsets on LinkedIn, and you should start now! You will look as though you are not going to be responsive to any communications you might be sent. . Use LinkedIn to be helpful, conversational, and offer your opinion. While it’s good to have many recommendations on your profile, we’d suggest only approving those that feature your skills. You should use this section to feature the highlights that would be included in your CV and are of interest to potential employers. A. 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. Because doing so gives others full transparency of your skills and experience which could be exactly what they are looking for. 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. For recruitment specialists, they want to be able to identify candidates who can offer organisations a unique set of skills. Not including any images in your profile gives the impression that you are not active on the platform. When it comes to showcasing your strengths, the skills and endorsements section on your LinkedIn profile is of great value. 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. Including recommendations by people you’ve worked with before gives employers live references. Treat this section as an opportunity to document your work within each role well. Chris Bradbury – (Deep Learning & Computer Vision Recruiter). . It’s important not to miss the opportunity here to go into more detail about your role and responsibilities. This includes achievements within your roles listed on your profile. Did you know that your LinkedIn profile displays your recent activity across the entire platform? Driving business decisions using data science and machine … Let’s say you’ve described yourself as a team player in your profile description. . . You can be certain that you’re not going to hear from many headhunters if you do not have this enabled. Strive to have your capabilities, personality, and work ethic credited through personal recommendations. Write in first person, not in third. – Implement analytical models into production by collaborating with software developers and machine learning engineers. Highly creative, self-motivated, committed to staying current on innovation in technology, computer science, data science and engineering. 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. Because doing so gives others full transparency of your skills and experience which could be exactly what they are looking for. Buzzword Bingo. Q. The way we see it, the more effort you put into your profile, the more opportunity you will see from it. What are the most common mistakes you see on a data scientist profile? 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. – 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. Treat this section as an opportunity to document your work within each role well. We can guarantee it. As J.T. Welcome to our data science experience, this month Matteo Landrò, Data Scientist at SAS introduces his views on Model Management. . If you have these included in your profile, it makes a big difference. 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. Data Science LinkedIn Experience and Work History. – Nicholas Jackson – Data Science Recruiter (Machine Learning, Deep Learning, Computer Vision & Artificial Intelligence). . The social networking platform bridges the gap between candidates and clients, which has led to more than 75% of professionals now using LinkedIn. This makes you more likely to become headhunted by organisations who are in need of candidates with your expertise! UNSW Data Science Society | 349 followers on LinkedIn | The first undergraduate Data Science Society in Australia | Hello and welcome! La data science devrait figurer en haut de la liste des sujets prioritaires pour toute équipe de formation et développement. 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. It is no different than Twitter, Instagram or Facebook. They have a break down of what the role entails exactly. This near enough always encourages me to keep reading through their information. – Avoid using technical jargon and buzzwords within your profile writing. Cette véritable star des métiers du numérique est devenue incontournable pour les entreprises d’aujourd’hui, qui sont amenées à disséquer une masse de données inégalée. With over 575 million registered users and more than 260 million of those active on a monthly basis, LinkedIn is. 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. It’s worth considering that in your busy schedule, you might have overlooked certain aspects of your work. A strong candidate will have taken time to perfect their profile and communicate their professional experience. ! You have the opportunity to connect with influencers, decision-makers and leaders within your industry. O’Donnell (founder and CEO of Work It Daily) puts it, ‘a LinkedIn profile is ‘ours to manage. Don’t be shy in communities, use them as an opportunity to network and learn something new. Of course, there are considerations you’ll need think about when taking your head shot photos. We can guarantee it. Your profile header is the first thing visitors to your page are going to see. Most LinkedIn users will include basic information that details their role. Despite this number of Data Scientists available/in roles online currently, it’s no secret there is still a major talent shortage. 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. So what does this mean for you as someone in data science, engineering, or machine learning? Data science is a vast, complex industry with many subsets. with data science professionals. 1 Like, Badges  |  You could share mutual interests when it comes to the daily documentation of Elon Musks ambitious statements for example. Joining groups is a great way to meet new people who share common interests with you. – Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems. 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. Anything relating to your work ethic or knowledge within your field is great too! 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. LinkedIn is the premier place for professionals to gather, connect with one another, share ideas, and network. One thing that always stands out to me is when a candidate has included a link to either their own website or Github profile. Having an up to date CV will increase your appeal when you apply for jobs using LinkedIn’s EasyApply feature. Why? 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. One thing that always stands out to me is when a candidate has included a link to either their own website or Github profile. 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. If you don’t let recruiters know that you’re looking for new opportunities, you’re not going to hear from. Top 10 LinkedIn Groups for Data Science Professionals | by Digital … 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. Book 1 | Using groups will allow you to join communities and make connections with others who relate to your areas of interest. I wasn’t getting hired as a Data Scientist. within the role description. 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. It means I can direct them to more relevant and exciting roles and nobodies time, A. The way we see it, the more effort you put into your profile, the more opportunity you will see from it. Do pay attention to any references written by your colleagues and superiors. 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 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. A. You can include multimedia assets such as photos, videos & links that provide evidence of your role. You could share mutual interests when it comes to the daily documentation of Elon Musks' ambitious statements for example. Now the key here is to think about how many times have you worked on something that falls outside of your Data Scientist role. This demonstrates the completion of projects performed, further supporting the role. We’d suggest making a start here. You will look as though you are not going to be responsive to any communications you might be sent. It will give you a place of reference to always look back and reflect on. Captivated with the "anything is possible" mentality and agile development process in startups. Despite this number of Data Scientists available/in roles online currently, it’s no secret there is still a major talent shortage. According to Business Insider, LinkedIn has more than 500 million members, with 260 million users logging in each month. Remember that LinkedIn is saturated with data science professionals. I’d rather see a profile description that has a concise overview of key work objectives and experience. You’d be surprised at just how many profiles do not include any profile or header images. Gone are the days of scouring the loft of your parents house to hunt for the family polaroid to get the perfect headshot.

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