Before we delve deeper into the topic, let\u2019s have a look at some probable drawbacks of working as a full-time data scientist. We aren\u2019t trying to say that these won\u2019t happen if you get a part-time job<\/strong> once you\u2019d become a data scientist<\/strong>, but chances will be pretty low for sure. And if you take the freelance route, these factors will hardly be playing a role.<\/p>\n Before<\/em> we explore the reasons, it\u2019s important to note that we\u2019re not trying to discourage anyone who\u2019s planning to become a data scientist<\/strong> and get a full-time job because the role can always be fun, rewarding, and stimulating.<\/p>\n A<\/em> lot of people, even in reputed tech organizations, don\u2019t clearly understand the exact role and responsibilities of a data scientist. It means you\u2019ll be, at least to them, the database expert, the analytics expert, the go-to reporting person, and more. In addition, it\u2019s not just the non-technical persons who make lots of assumptions about your skills. Other persons in the tech department may also assume that you know everything about data.<\/p>\n Though it\u2019s an uncommon phenomenon, sometimes a company that has very limited idea about data strategy may be under the impression that any data person is capable of fixing all the problems associated with data. On top of that, it\u2019s sometimes assumed that because you know everything about data and unquestionably hold access to all data, you\u2019re able to answer all the data-related questions.<\/p>\n Many<\/em> people want to become a data scientist<\/strong> to get involved into solving complex problems that can help businesses make a huge impact. But sometimes, expectations fail to match the reality. There\u2019re lots of companies that fail to hire experienced data scientists and end up hiring junior ones. As a result, the person who came in to write smart algorithms often ends up creating analytic reports and\/or sorting out the data infrastructure. Finally, these data scientists get frustrated because they don\u2019t experience any value being generated by their effort.<\/p>\n Today, it may not be that difficult to become a data scientist<\/strong>, but for many of these professionals, a full-time job may be too tough a task to hold onto. In this scenario, a part-time job<\/strong><\/a> as a data scientist can be a great option for those who want to step into the field but don\u2019t want to be burdened by the responsibilities of a full-time job. Introduction to data science<\/strong><\/a> is not finite at one thing.<\/p>\n Almost<\/em> every successful company is data-driven today. Data literate employees, who work with data in order to help the business make timely and informed decisions, can surely leave a positive impact on the business\u2019s operations and its bottom-line.<\/span><\/p>\n A surge in the adoption of big data has propelled different marketing strategies. Today, it\u2019s of no use to simply make educated guesses or look at global trends to rise above the competition. Instead, businesses need to drill into the data really hard to obtain actually valuable insights. And this is probably the key reason why companies keep on searching for professionals who can add value to their business, be it as a part-time candidate or a full-time one.<\/p>\n So, despite the fact that working for a large company as a data scientist can be stimulating, rewarding and fun, many professionals these days are quitting their full-time jobs and trying to get a part-time job<\/strong> or the position of a freelance data scientist.<\/span> Also, there\u2019re people who want to become a data scientist<\/strong> but don\u2019t want to take up a full-time offer. The reason is quite simple \u2013 freedom. Not everybody loves to get up every morning and head straight to the office with a card around their neck. There\u2019re people who wish to work on their own terms and according to their own sweet convenience. And for all of them, getting a part-time job<\/strong> as a data scientist is the perfect option.<\/p>\n The appeal of higher pay together with a convenient work schedule is bringing a significant number of data scientists in the part-time job<\/strong> domain. To step successfully into the field, you need to have a clear understanding of two things at first: Where do you find part-time jobs<\/strong> as a data scientist? And where can you network with others in your field? Let\u2019s have a look at the steps you\u2019d need to perform to get answers to these questions.<\/p>\n Simply<\/em> listing yourself as a data scientist looking for a part-time job<\/strong> on LinkedIn may not be enough. You need to publicize yourself by exploring other networks. One of the most useful ways to advertise your ability is by having a personal website that demonstrates your complete portfolio.<\/p>\n Generally, employers use portfolios to gauge aspirants\u2019 ability for a part-time job<\/strong>. You\u2019ll be able to communicate your motivations and strengths by showcasing your portfolio. It\u2019s important to note that in your website, your portfolio section should be easily found. This will make it easier for a potential employer to find your contact information including phone number, email address etc.<\/p>\n Services and projects are two other sections that you need to give special attention to. In the services section, detailed and clear information about all the services that you\u2019re going to provide should be listed. When it comes to pricing, you\u2019ve to perform a detailed research and then decide on your pricing. If you\u2019re a beginner, your prices should be lower than that of your competitors in the market. In the projects section, remember to highlight some of your best previous works to help the employers get a sneak peek of your competence.<\/p>\n Other<\/em> than having a personal website, it\u2019s recommended to create a data scientist profile looking for a part-time job<\/strong> on platforms that receive a huge amount of traffic from potential employers.<\/span> Directories that are frequently browsed by employers are the best places to start. You can start with, for example, Upwork. It\u2019s one of the largest freelance and part-time jobs\u2019<\/strong> platforms and is a familiar name to companies across the globe. This way, you can be rest assured that your listing as a data scientist looking for a part-time job<\/strong> will get noticed there. Once you\u2019ve signed up for an account with the platform, you\u2019re free to browse the part-time job<\/strong> listings and apply to the ones you\u2019re best suited for.<\/p>\n You can also use non-traditional methods to connect with potential employers to increase your chances of being noticed and get hired as a part-time data scientist. Being proactive is crucial for getting a part-time job<\/strong> as a data scientist.<\/p>\n Once<\/em> you\u2019ve secured your presence across various online platforms, it\u2019s time to grow your network as well as your presence on the internet as an expert in the field. The web is filled with forums for data scientists who\u2019re interested in part-time jobs<\/strong> like you to collaborate, share ideas, and learn from one another. Remember to make sure to participate regularly in professional groups to advertise your skills to your peers as well as potential employers.<\/span> It\u2019ll help you strengthen your position as a data scientist and even offer you valuable insights about the market trend, open positions etc.<\/p>\n1- Why a significant number of data scientists are dissatisfied with their full-time job?<\/em><\/strong><\/h3>\n
![\"Why](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/05\/Why-a-significant-number-of-data-scientists-are-dissatisfied-with-their-full-time-job-data-science-bootcamp-in-silicon-300x200.jpg\")
<\/p>\n1.1- You\u2019re everything with regard to data<\/em><\/h4>\n
![\"You\u2019re](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/05\/You\u2019re-everything-with-regard-to-data-data-science-bootcamp-in-silicon-valley-300x200.jpg\")
<\/p>\n1.2- Expectation fails to match reality<\/em><\/h4>\n
![\"Expectation](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/05\/Expectation-fails-to-match-reality-data-science-bootcamp-in-silicon-valley-200x300.jpg\")
<\/p>\n2- Key tips to find a part-time job as a data scientist<\/em><\/strong><\/h3>\n
![\"Key](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/05\/Key-tips-to-find-a-part-time-job-as-a-data-scientist-300x225.jpeg\")
<\/p>\n2.1- Build a portfolio<\/em><\/h4>\n
![\"Build](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/05\/Build-a-portfolio-data-science-bootcamp-in-silicon-valley-240x300.png\")
<\/p>\n2.2- Other avenues to explore<\/em><\/h4>\n
![\"Other](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/05\/Other-avenues-to-explore-data-science-bootcamp-in-silicon-valley-229x300.jpeg\")
<\/p>\n2.3- Growing your network<\/em><\/h4>\n
![\"Growing](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/05\/Growing-your-network-data-science-bootcamp-in-silicon-valley-300x188.jpg\")
<\/p>\n
![\"conclusion\"](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/05\/conclusion-225x300.jpg\")
<\/p>\n