The question is: Do you have the right skills to provide value that companies will be willing to pay for?
Over the past few years, Data Science has become one of the most in-demand jobs that command high salaries in the industry. Most people who want to get into Data Science have heard one or two good things about this field and are motivated to reap the benefits. However, only a few really command this high benefits
Even some colleagues of mine in some other departments who are in managerial positions have their salaries at the same level as Data scientists who are just mere team members. How is that? Well, they are Data Scientists and they provide tangible results with data.
The challenge to get a high paying Data Science job isn’t that the jobs are not there or the companies do not have the money or are not willing to pay the salary. No! far from that. Companies are willing and ready to offer even double the amount currently seen as the hype-level.
To land a high-paying job in Data Science requires some level of experience or proof of concept. You can’t rely on certifications. It doesn’t count much these days. It is better to present your Github profile showing recruiters what you have done in the field of Data Science than listing a bunch of certificates in your resume.
Master your Skills:
There are no two ways about this. Your skillset will open the doors for you and will sustain you whilst on the job. Although you are not expected to know everything before getting started on a job, after all, you learn on the job as time goes on, however, if you do not showcase a considerable amount of skills and command over the crucial concepts in Data Science during your interview, you will not make it into the organization let alone getting the chance to learn.
Master The Concepts:
Spend time diving deep into the various concepts and don’t just have an idea of what it is. For example if I ask you “Do you know the Naive Bayes algorithm?” you may probably say yes, however, if I ask you to explain in which circumstance will you choose Naive Bayes over KNN, that might be challenging. During the learning stage, you need to have the patience to understand the concepts and they will go a long way with you.
No one gets impressed with certificates anymore. Project portfolio is the hype now!!
You need to realize that you are not the only one who is thrilled about the Data Science buzz and wants to taste the honey that comes with it. You have competitors and as much as companies are rushing for Data scientists, so are applicants rushing for job offers. What will distinguish you from the mass is your skillset. There are plenty of resources out there but very few will really help you master the right skills needed.
Learn how you can build the skills and master Data Science: Join Me In My Masterclass: https://rchub.online
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Mentor & Chief Data Scientist (https://www.linkedin.com/in/manojkrgupta/)