3 Steps to Land a Job as a Data Scientist

This article will be extremely useful if you want to become an entry-level data scientist. Do you understand why? Because you’ll soon discover that getting entry-level data science jobs takes far less time and effort than most aspiring data scientists believe.

However, before we get into the quick steps on how to get a job in data science, let’s dispel some big fat myths about data science careers that aspiring data science professionals have:

If you want to be a successful data scientist, you’ve probably heard about the seemingly endless list of requirements you must meet in order to break into the field, haven’t you?

It usually starts like this: they tell us that we need to have a Ph.D. Then they tell us we have to have a coding background. Finally, you must have at least 7 to 10 years of experience working in the IT industry, as well as 2 to 3 years of experience in the field you intend to work in as a Data Scientist. 

Also, Check – HOW TO KNOW WHICH CAREER PATH IS BEST FOR YOU?

Get a rock-solid foundation in Data Science

Before you even consider applying for data science jobs, make sure you have all of the data science skills that hiring managers are looking for. Needless to say, a data scientist must be familiar with key concepts in math, statistics, and probability, as well as have knowledge of Python, R, or SQL, as well as knowledge of one or more data visualization tools and other soft skills such as business acumen, communication skills, and storytelling abilities. 

There are numerous online resources available to assist you in developing these skills. Once you have a solid foundation of essential data science skills, you can strengthen these skills with on-the-job learning by obtaining a data science internship, which is a once-in-a-lifetime opportunity to gain hands-on experience working with real-world data.

Get relevant experience 

Getting an entry-level data science job is no easy task. When you’re just starting out in the data science industry, it can seem impossible to get that first entry-level data science job. Everyone wants to hire an experienced data scientist. How do you gain relevant experience if no organization wants to hire someone with no real-world experience in data science?

• Participate in personal data science projects – Choose simple and relevant projects that will assist you in learning necessary data science skills. The best place to show these projects to hiring managers is on GitHub.

• Take part in Coding Contests and Hackathons – These data science challenges push you to create practical data science applications while also connecting you with industry experts.

Build a strong portfolio for Data science

Because entry-level data science applicants are unlikely to have any work experience, evidence of successfully implementing data science skills is required to land a data science job. The portfolio serves as public evidence of your data science skills and is an excellent way to demonstrate your experience even if you have no real-world experience.

These were in short and three easy steps to land a job as Data Scientist. To know more about how software engineering is different from computer science click here.