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Why Should I Become a Data Scientist?
Data science is one of the most sought-after technologies that is being used by nations to automate and simplify the lives of the citizens residing.
Digital evolution and data science go hand-in-hand. This technology is impacting baking, finance, hospitality, retail, and education, only to name a few.
The demand for qualified data scientists is still increasing because there is a huge gap between demand and supply chain, and here are a few reasons why you should become a data scientist.
1. There is Massive Demand for Data Scientists.
Data science remains a highly competitive field with lots of opportunities. As companies compete over a limited pool of talent, they continue to offer better and better salaries and work benefits to fill openings and steal talent from competitors. Massive demand means increased wages and attractive benefits packages.
The need for talented data scientists also means a significantly larger pool of internships and entry-level positions, making data science a much easier job to break into after finishing your studies or online coding classes than other market verticals.
2. Being a data attracts Flexible Working.
Flexibility is another reason why people choose to become data scientists. Because data scientists often work for, or in conjunction with, software companies, the flexible nature of those companies and increasing opportunities for remote work mean that you can live and work from the regions that you choose.
Also, massive overtime requests are not especially common, although depending on the needs of specific projects, those kinds of hours do still happen.
3. Being a data scientist allows you to work on Cool and Futuristic Projects.
Becoming a data scientist also enables you to participate in and solve complex and life-changing issues such as; Building more accurate climate models and improving weather prediction technology, to help save lives and mitigate the increasing effects of climate change around the world.
Analyzing crop yields and agricultural practices, to help increase food output and save small farmers valuable money that can keep their business sustainable. These are some interesting work works you can do as a data scientist.
4. You are most likely to Reach Higher Positions.
Being a data scientist provides you with an opportunity to reach a higher position in any organization you desire.
In most entry-level positions in a large corporation or government organization, it can take years or even decades to reach a position of influence.
As a data scientist with top-notch skills, you stand a better chance of making decisions that would affect the welfare of any organization.
5. You get paid at a much Higher Scale.
According to Glassdoor, entry-level data scientists in 2019 could expect a median salary of nearly US$109,000 a year.
For managers and experienced data scientists, salaries often approach a quarter of a million dollars per year or even more.
From beginner data scientists to experienced data professionals can expect outstanding salaries and compensation given the current state of the industry.
For a job with so much flexibility, earning a much higher salary than average is the norm as a data scientist.
6. Opportunity to Lead a Company’s Management and Decision-Making.
Data science stands out because not only do you solve problems for companies, but you may also help companies discover new problems and needs they didn’t even notice before.
The more you gather and manipulate data, the bigger the need for more data science In some careers, if you do a really good job, you may solve a company’s need for your position.
7. Work for the Coolest Tech Companies.
If you’ve always desired a job at a futuristic corporate headquarters, with a chance to “change the world”, data science is a great path.
As companies like Uber and Github and Facebook continue to expand the possibilities of mobile devices and the service networking industry, more and more tech companies continue to develop new needs for data scientists.
How do I Make Money Online as a Data Scientist?
Data allows businesses to make informed decisions, hence the reason why it is the most in-demand skill of the 21st century. It is for the same reason that Data Scientists make so much monetizing their skills.
However, since you have searched for ways to make money as a Data Scientist, this article has been written to help you make money online as a data scientist.
1. Become a Freelancer.
Freelancing is an online business model that allows you to make money by offering your services independently.
Offering your services as a freelancer is perhaps the simplest and most flexible way to earn money as a novice data scientist.
You can work as much or as little as you want as a freelancer, giving you the freedom to advance at your own pace. There are many opportunities due to the rising demand for data science expertise.
Finding data science projects and clients is very easy thanks to websites like Upwork, Fiverr and Freelancer.
Create a solid portfolio and reputation first to draw in more clients with higher spending power.
I wrote a comprehensive guide on how to become a successful freelancer. Check out the link to the article to learn more.
2. Pilot Your startup.
In the field of data science, there are numerous business opportunities, such as providing data analysis or visualization services, creating data-driven products, or providing data strategy consulting.
You need to understand data science concepts thoroughly and be able to spot a need or issue that your business can address to launch a data science-related business.
Additionally, you’ll require business abilities in areas like financial management, sales, and marketing.
Just in case you need funds for your startup, I wrote a comprehensive guide on how to access funding for your business. Check out the link to the article to learn more.
3. Create an Online Course.
Creating an online course is one way to make money online as a data scientist. You might be able to design an effective course on a specialized subject or one that is simply for beginners if you have a solid grasp of data science concepts and feel confident explaining them to others.
You might also think about collaborating with other professionals or organizations to develop and market your courses.
One advantage of teaching data science online is that you can influence the data science community, reach a global audience, and generate passive income from course sales.
Websites like Udemy and Teachable have made it easy for anyone to create and sell their courses, as there is a growing demand for data science-related education.
I wrote a comprehensive guide on how to create a successful online course. Check out the link to the article to learn more.
4. Land a Remote Job.
Money can also be made as a data scientist by landing a remote job in any part of the world. Data science internships remote jobs can be found in a variety of places, including on job search websites like LinkedIn and Indeed, etc and through connections in your school or personal network.
To learn more about opportunities, you can also get in touch with data science-related companies or organizations directly.
I wrote a comprehensive guide on how to land a remote job. Check out the link to the article to learn more.
5. Become a consultant.
Becoming a consultant is another avenue that helps you make money as a data scientist. As a data science consultant, it will be your job to assist businesses in using data to solve issues and guide choices.
This can entail everything from data analysis and model development to giving advice and producing documents.
You must possess a solid foundation of data science knowledge and skills, as well as exceptional communication and problem-solving capabilities, to be effective as a data science consultant.
Additionally, you’ll need to be able to work independently and efficiently manage your time. This can be a good way to make money, meet clients and build a brand.
I wrote a comprehensive guide on how to make money online as a consultant. Check out the link to the article to learn more.
6. Participate in Data Science Competitions and Hackathons.
Participating in Data science-related competitions and hackathons is another avenue to make money online as a data scientist.
You can put your data science skills to the test in high-stakes competitions such as data science competitions and hackathons.
Websites like Kaggle are great places to find and participate in data science competitions and hackathons.
These events are often organized by companies or organizations as a way to find and hire talented data scientists, and they offer cash prizes or job offers to the winners.
7 Start a Blog.
Starting a data science blog is another way to make money online as a data scientist. All you need do is write a data science-related topic that your target audience would love, gain a following and even earn money from advertising, sponsorships, and item sales by regularly producing and sharing useful educational materials.
You must be able to succinctly and effectively communicate data science concepts if you want to succeed.
Additionally, you’ll need to know what topics will be most intriguing and pertinent to your audience as well as how to develop visually appealing content.
I wrote a comprehensive guide on how to start a blog. Check out the link to the article below to learn more.
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