How To Get Hired As A Data Scientist

Sakshi Gupta | half dozen minute read | Oct 6, 2021

In this commodity

Data Science Myths Busted for Entry Level Data Science Jobs
Key Steps to Getting Entry Levels Data Science Jobs
How to transport your first data science job application?

If y'all want to become an entry level data scientist, you are really going to similar this article. Do you know why? Because you're shortly going to find out that getting entry level information science jobs requires fashion less fourth dimension and effort than most aspiring data scientists usually call back.

Data Science Myths Busted for Entry Level Data Science Jobs

However, before nosotros spring on to sympathize the quick steps to become entry level information science jobs, let'southward talk virtually some large fatty myths aspiring data science professionals have about data scientific discipline careers :

If you want to become a successful data scientist, you lot might have probably heard of the countless prepare of requirements yous need to fulfill to intermission into information science, oasis't y'all?

Here's how information technology normally begins: start, they tell us that you need to be a Ph.D. holder. Then, they tell us you lot demand to be from a coding background. And lastly that you demand to have at least 7 to 10 years of experience working in the IT industry and two to 3 years of feel in the field you intend to work in to go a information scientist. Nosotros're not making this up. The number ane Google search consequence for the question "How to go a data scientist," says exactly that… (If yous don't believe us, go check for yourself).

Nevertheless, considering these myths and going by that logic, getting a Ph.D. and relevant feel to become a data scientist should take you at least a decade. Well, guess what?

We personally know a Springboard learner who is not from coding or a informatics background but decided to switch careers considering the increasing demand for data scientists. He wanted to become a data scientist because he was fascinated past the flexibility and benefits that we all know can come up with a data science career. Notwithstanding, he had one challenging roadblock- he knew nix about programming.

Yet, 6 months afterward getting into Springboard'due south information science career rails, he managed to become an entry level data scientist. Isn't that crazy? And the most amazing thing is that he neither had a Ph.D. nor years of feel to evidence off.

Now you might exist thinking – "Ok but permit's be real. These unicorns are very rare and probably one in a million so this doesn't matter to me."

It might seem a little fishy but the reality is that fifty-fifty with zero experience in the data scientific discipline manufacture, you can land tiptop entry level information scientific discipline jobs with a perfect career plan. Definitely, it's non going to be a cakewalk- let us tell you lot that. You will accept to put in efforts to friction match up with the knowledge and skills in the information scientist job description to get an entry-level data science job. Having said that, it's possible to go from an average entry level information scientist salary of 7 lakhs per annum to a senior data scientist role with data scientist bacon somewhere effectually 25 to thirty lakhs per annum in effectually 2 to 3 years. Wouldn't that exist wonderful ?!

Central Steps to Getting Entry Levels Data Science Jobs

If yous really want to become a information scientist and then become all the way to a senior managerial data science position, hither are some quick steps to follow outset to get an entry-level data science job. Work on these areas in guild to commencement building your make as a data scientist –

1.Build a rock-solid Data Science Foundation

Much before you fifty-fifty think of applying for data scientific discipline jobs, you need to be sure that you take all the data science skills hiring managers are looking for. Needless to say, a data scientist must exist familiar with the important concepts of math, statistics, and probability, know either Python, R, or SQL, have knowledge of one or more data visualization tools and possess other soft skills like business acumen, advice skills, and storytelling skills. There are tons of online resources that assistance you lot build these skills. Once you have a strong foundation of the essential data science skills, you tin strengthen these skills with on-the-job learning by getting a data science internship which is a unique opportunity to gain hands-on experience working with real information.

2. Get Relevant Hands-On Experience

Landing an entry level data science job is no pocket-size feat. When you're just getting started in the data scientific discipline industry, it might seem similar it's impossible to country that starting time entry level information science task. Everybody wants to hire a data scientist with feel. How do yous get that relevant feel if no organization wants to hire someone with absolutely no existent-globe experience in the data science industry?

Applying For An Entry Level Job — Image Credit: iFunny

Nil is more important than gaining hands-on experience. It might be very difficult to gain real-earth experience working for an organization doing data science. To provide yourself with relevant experience as a information scientist we suggest –

Piece of work on personal information science projects – Choose simple and relevant projects that help you learn required data science skills in the process. GitHub is the all-time place to showcase these projects to hiring managers. Non to worry if you do not have an innovative discovery to show off, your projects should draw your understanding of the topic you choose and provide the recruiter an indication that you tin can work independently.
Participate in Open Source Projects – Contributing to various open-source projects helps yous gain colossal feel and besides a feeling of joy when millions utilise your lines of code on a daily basis. Cull projects you are interested in and ship in pieces of code. Don't be scared if you end upwardly sending bad lawmaking, just keep calm and attempt to empathize where you accept gone wrong. This volition help y'all gain experience and likewise have fun while you are learning data science.
Participate in Coding Challenges and Hackathons – These data science challenges force you to build practical information science applications and help you connect with experienced data scientists in the industry. Hackathons and coding competitions will not only help you gain feel in turning data science concepts into actions but volition likewise help y'all get external recognition.

3. Build a data science portfolio to showcase your skills

Equally entry-level information science applicants ideally aren't going to accept whatsoever job-experience, having proof of successfully implementing information science skills is necessary to get a data science job. The portfolio is public evidence of the data science skills you have and a fantastic style to showcase your experience even if you have no real-world experience. This exhibits your passion for doing data scientific discipline to the recruiters and your ticket to landing your outset data science gig. If you need some worthy guidance in building an awesome information science portfolio, we recommend reading "How to build a data science portfolio?".

How to ship your outset information science job awarding?

Having acquired all the data scientific discipline skills and built a bully information science portfolio, it's time to starting time sending your information science job applications. And then, how exercise you go about it? Should you directly hitting popular task sites like Indeed, Glassdoor, and Naukri to land your first information science gig? Instead of hitting the job boards directly, the best mode to get an entry-level data scientific discipline task is to connect with recruiters in recruiting events or job fairs, or on LinkedIn, or through peers or other networking opportunities like conferences or meetups.

Building connections is an essential requirement to get shortlisted for your first data science interview. Be active on LinkedIn, share any new data science certifications or projects yous consummate and engage yourself in various technical discussions in data science groups. This is the first step to influence potential employers before you can get an interview call from them.

Having connected with the recruiters the next stride is to show them and explain how your information science skills tin can assistance their organizations solve the problem and there you get, your commencement interview will follow.

In this article, we walked yous through a few valuable tips to follow to get an entry level data scientific discipline job without any prior experience, or it will be amend to say that we helped you sympathize how to get started in the data science industry from scratch. We believe that many aspiring data scientists are sold into the thinking that becoming an enterprise data scientist takes equally much fourth dimension and coin as becoming a md. Why not have an alternative path to become a data scientist -one that costs less time and money -when there are already so many professionals who accept already achieved it and many more who are pursuing information technology.

Since you lot're here…
Are you a future data scientist? Investigate with our free step-by-footstep guide to getting started in the industry. When you're ready to build a CV that will make hiring managers melt, join our four-week Data Scientific discipline Prep Form or our Data Science Bootcamp—you'll become a job in data science or we'll refund your tuition.