How to land a Data Science Job in 2020?

 

Introduction:

The field of data science is known to be a highly sought-after field for both job-seekers and hiring managers. In the year 2019, it was found out that LinkedIn has ranked data science as the most promising and flourishing career of the year. This declaration was made based on salary projections and a 56% increase in job openings from 2018. This shows that data scientists in 2019 were not only able to get a job easily but with a higher salary as well.

Well, this was the situation before the COVID-19 situation where everything was going smoothly for both the data science employers and employees. The question here is whether the COVID-19 pandemic has affected this field as well or not?

 

According to a recent July Burtch Works survey, it has been found out that luckily, the global pandemic was not able to put any effect on data science opportunities or even salaries. And what is even better than this is the pandemic has broadened the data science opportunities for many people. The news was confirmed by a survey that showed that 50% of analytics and data science organizations have either suffered a zero impact or were able to actually grow in size. This shows that the COVID-19 situation made no impact on this one field. 

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Why was this field not affected by the pandemic?

We’ve been hearing for the last couple of months about how the COVID-19 situation has put a negative impact on so many industries right? But this one industry continued to grow even in the worst conditions, how? Below are some reasons that can help you understand how.

·         Data science has become a more data-driven organization and has proven Return On Investments (ROI) for organizations that are investing in analytics. This has enabled them to cut a lot of costs. 

·         Data science jobs are the ones that can also be done easily from the comfort of your home.

·         Lastly, data science has turned out to be valuable in these economic conditions as well as many companies are enlisting data scientists to track pandemic-related behaviors and forecast market trends.

As you can see, no matter what the circumstances are, your career is safe as data science. So now the question is, how to land a data science job in 2020?

 

How you can land the right data science job in 2020?

To all those people out there who are looking for stability and the wish to grow their skillset in a large pond, you need to target large companies like Facebook, Uber, Lyft, and Pinterest. These companies are not only stable but offer the highest salaries in the industry. With that, they also offer strong benefits packages and investment in education and training as well. 

 

Similarly, if according to your ability, you wish to go for a smaller startup then know that they provide a high level of ownership and several initiatives that allow you to build a lot of infrastructure for scalable experimentation and data analysis. This includes dashboards to measure important metrics. 

 

Next, if you have an interest in working as a freelancer then this is not a problem as well because like we said earlier, data science is a very stable industry and has jobs everywhere even as a freelancer. So, freelancing in data science can give you the freedom and autonomy you need to work plus the option to set your own rates, terms, and schedule. Platforms like Upwork, Fiverr, TopTal, Coding Ninjas, and Angellist is our top preference to get data science jobs. All you need is to visit these websites and build your portfolio projects. Remember, it may take some while to get on track and start receiving freelance contracts and gigs, but it will work for sure.  

 

Conclusion:

So, if you are a data scientist who is just starting off and needs some guidance to land to the right job, then you should read this topic as we have mentioned all about what to do if you need to target a large-scale company. Similarly, how to land to a small-scale organization that matches your abilities. And lastly, which platforms to target if you wish to work as a freelancer. You Can also visit our article on Analyzing City Data Using R and Tableau to better understand Use of Tableau in Data Science.