How to Get A Job in Data Science

In today’s hyper-connected world, we’re generating increasing amounts of data. The speed at which this is taking place has given rise to the growing field of data science and its various tools. Businesses large and small now rely on data science for increased productivity and efficiency.

According to a report from Indeed, one of the top job websites, there’s been a 29% increase in demand for data scientists year over year and a 344% increase since 2013. Looking at current trends, data science role descriptions are also expanding rapidly. Professionals in this field are increasingly expected to have machine learning and big data technology skills. Overall, data science has been a game changer across many different sectors.

If you’re interested in pursuing a career in data science, you might be wondering what it takes to have a successful career in the field. The first step, of course, is getting hired. This article looks at the role of a data scientist, the different specializations within the field, and the skills needed to get hired.

Basic Skills Required for a Data Scientist

Being a data scientist is all about learning how to use various different tools and programming languages, and applying them to solve key issues in a business system.

Climb The Corporate Ladder with Data Skills

Now that we’ve covered the basic skills and technical capabilities required to become a data scientist, let’s move on to how to land the job and climb the corporate ladder.

Entering the Field

Getting hired as a data scientist with no prior experience is possible, but you’ll need to invest some time in a specialized data science course. That’s because it’s one of the senior-most positions in the corporate tech setting. Start your career as a business analyst or data analyst and move your way up the ladder to become a data scientist. This will also see you gain crucial experience and an enormous amount of knowledge.

Internships

Since many companies can’t afford to hire a lot of full-time employees, it’s advisable to take an internship in an organization of your choice. Most interns will use this opportunity as a stepping stone into a full-time role. The internship period provide lots of opportunities and on the job training. It’s become the new normal for entering the corporate world.

Networking
Networking is just as important in data science as it is in any other discipline. And even if you're meeting those connections virtually, getting out there and chatting about data challenges is a pivotal part of growing your career.

Maintaining a stellar LinkedIn profile of your professional achievements and pitching in on message boards will bring you a step closer to the recruiter’s office. It’s also good to find a mentor who can help you navigate through your career path.

Begin a Career as a Data Scientist

With technology gradually taking over the world, data scientists are essential for managing businesses effectively. Any organization harnessing the power of data needs a talented data scientist to advise on important business decisions and predict results.

As the demand for data scientists continues to grow, those interested in pursuing this rewarding career path need access to the appropriate study options to steer their knowledge in the right direction. A great data science course will delve deep into the origins of the field and assign the most relevant coursework to enrich your knowledge pool.

For those looking for a comprehensive data science course, our Data Science bootcamp offers an accelerated online program of classes, mentorship, and professional guidance designed to get you a career in data science, fast. If you need to hold down a job at the same time, you can study part-time, with the exact same rigorous curriculum. Talk to an adviser today to find the best pathway for you.