How to Earn Extra Income As A Data Scientist – Data scientist is analytical expert who utilize his or her skills in both technology and social science to find trends and manage data. Data scientists use industry knowledge, contextual understanding, skepticism of existing assumptions – to uncover solutions to business challenges.
A data scientist’s role combines computer science, statistics, and mathematics. They analyze, process, and model data then interpret the results to create actionable plans for companies and other organizations.
If you are a data scientist and looking for ways to earn extra income, these are the best options.
Here are the eight (8) ways one can earn extra income as a data scientist.
1. Ethical hacking
Ethical Hacking is an authorized practice of bypassing system security to identify potential data breaches and threats in a network. The company that owns the system or network allows Cyber Security engineers to perform such activities in order to test the system’s defenses. Thus, unlike malicious hacking, this process is planned, approved, and more importantly, legal.
Ethical hackers aim to investigate the system or network for weak points that malicious hackers can exploit or destroy. They collect and analyze the information to figure out ways to strengthen the security of the system/network/applications. By doing so, they can improve the security footprint so that it can better withstand attacks or divert them.
Ethical hackers are hired by organizations to look into the vulnerabilities of their systems and networks and develop solutions to prevent data breaches.
As a data scientist, you can take up ethical hacking as your side job to earn extra income.
Consulting is the act or process of educating clients on varying aspects of data and modern technology. More specifically, consultants will build up a customer’s analytics skills, data competencies, and better structure the machinations and workings of their business.
As a consultant, you are using your own experience and knowledge to help clients get their ducks in a row. It may or may not involve relationships with individuals, small businesses or major organizations.
As a data scientist, you can take up consulting as your side job to earn extra income.
3. Programming Languages
Programming languages are the languages used to write lines of code that make up a software program. These lines of code are digital instructions, commands, and other syntaxes that are translated into digital output.
Programming is the technique that allows data scientists to interact with and send instructions to computers.There are hundreds of programming languages out there, built for diverse purposes.
Some of them are better suited for data science, providing high productivity and performance to process large amounts of data.
However, this group still comprises a good number of programming languages.
To perform their tasks, data scientists rely on the power of computers.
As a data scientist, you can take up tutoring programming languages as your side job to earn extra income.
Blogging is the process of writing a blog, an online journal in which you share your thoughts about a particular subject with readers.
Blogging is as simple as obtaining a website and publishing original content on it. Tech-savvy bloggers can buy a domain name and build the website themselves. Those with less HTML knowledge can create an account with sites like WordPress that simplify the web design and publishing process.
As a data scientist, you can take up blogging as your side job.
5. YouTube channel
Starting a YouTube channel.
Fun fact: YouTube is the second-most visited website in the world behind Google—YouTube’s parent company.
Making a successful YouTube channel starts with making a YouTube channel.
As a data scientist, you can take up starting YouTube channel as your side job to earn extra income.
6. Affiliate marketing
Affiliate marketing involves earning a commission by promoting a product or service made by another retailer or advertiser.
An affiliate program is an agreement in which a business pays another business or influencer (‘the affiliate’) a commission for sending traffic and/or sales their way. This can be achieved through web content, social media, or a product integration.
As a data scientist, you can take up affiliate marketing as your side Job.
7. Content Writing
Content writing is the process of planning, writing and editing web content, typically for digital marketing purposes. It can include writing blog posts and articles, scripts for videos and podcasts, as well as content for specific platforms.
Content writing is also creating content for online marketing purposes. With content, businesses can attract leads and foster positive connections with their audience, ultimately pushing them down the sales funnel.
As a data scientist, you can take up content writing as your side job.
An educator is a person who provides instruction or education. An educator is usually seen as a mentor, instructor, or a trainer. The difference between educator and teacher is that educator educates whereas teacher teachers. That is to say, an educator does not merely teach, he gives sure his students intellectual, moral, and social instructions.
An educator is skilled at teaching; he focuses on development and evaluation. He evaluates students’ progress and adjusts the course or his teaching to suit the students’ level.
Data scientists can also take up the job of teaching if they have a research background. Besides earning extra income, it can also be the main profession.