![]() ![]() You can include internships, full-time work, freelance work, and volunteer work in this section. Use bullet points to break up long paragraphs. For example, Data Scientists need strong communication skills, the ability to work in a team, and a willingness to constantly learn in this ever-evolving field. You can discuss skills from your previous professional roles that translate into the role of Data Scientist. This doesn’t mean you are limited to discussing only data science experience or skills. Tailor your experiences to the type of job you are looking for. Some people may feel tempted to include every job and experience in this section, but too much information can overwhelm recruiters, especially if that experience does not relate to your current career aspirations. Include your specialties as keywords so recruiters can find you in a LinkedIn search. Let recruiters know what you currently do, what you are looking for in a future position, and what skills and knowledge you bring to the table. Consider this the “headline” which you can expand on further in the career summary that follows it. This should be a short phrase that sums up your career and easily explains to visitors what you do. Right under your name, you can include a line that describes who you are and what you do. ![]() Make sure the lighting is good and that it matches the standard displayed on LinkedIn by others in your field, and leave the selfie stick at home. A friend or family member can take the photo for you. ![]() You may opt to have a professional photographer do your headshot, but this isn’t always necessary. You’ll want a photo that is clear, recent, and cropped in a way that looks good on both desktop and mobile. While you don’t have to stick to the standard suite and black-background type of headshot, you should choose either business or business-casual attire. ![]() Your LinkedIn profile picture should convey that you are a professional Digital Scientist. Unlike other social media platforms, LinkedIn isn’t the place for your favorite selfie. You can maximize your LinkedIn portfolio by including the following. For Data Scientists, there are also additional steps that will help you make the most of LinkedIn as you begin or advance your data science career. When creating a stand-out LinkedIn profile, there are general best practices that everyone can follow. How to Make a Data Scientist LinkedIn Profile The following sections offer tips and best practices to help you make the most of your LinkedIn profile. Your LinkedIn profile can act as your virtual resume and include links to your portfolio, endorsements from mentors and coworkers, and other information that signals to recruiters you’re the right person to fill a data science role. Many organizations post their job openings on LinkedIn, making it an important part of your job search. LinkedIn is a social media platform designed for networking with professionals in your field, establishing your expertise, and connecting companies with employees. Alternative education methods like data science bootcamps and certificate courses are beneficial for transitioning into a data science career, providing comprehensive, hands-on experience, flexible financing options, setup assistance, a free retake, and guidance from expert instructors.Data science certificate programs and courses can provide opportunities for LinkedIn profile reviews and other job search assistance to help you find a data science job.Regularly update your LinkedIn profile to reflect new skills, accomplishments, and experiences, and consider getting feedback on your profile from mentors or other professionals.Use LinkedIn to search for jobs and set up job alerts to stay updated on new listings, and compare your LinkedIn profile to those of successful data scientists to glean inspiration for improvements.Ensure you make the most of your LinkedIn profile by creating a profile URL that is simple and memorable, ensuring recruiters can find you, and joining LinkedIn groups to network with other data science professionals.Your LinkedIn profile acts as a virtual resume and should include a professional headshot, personal statement and career summary, relevant experience section, featured skills and endorsements, and links to your digital data science portfolio.This article provides detailed guidelines on how to optimize a data scientist LinkedIn profile and tips to leverage the platform for networking and job searching in the field. Teaser: LinkedIn is an essential platform for professionals seeking to establish a career in data science. ![]()
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