Prep for the Interview
If you get an interview, what do you do next? Data science interviews involve some targeted preparation. There are several kinds of questions that are always asked, such as those about your background and those related to coding and applied machine learning. You should always anticipate a mixture of technical and non-technical questions in any data science interview. Make sure you brush up on your programming and data science — and try to interweave it with your personal story.
So whether you are simply considering a move, or you’re ready to send those resumes out, keep these five key best practices in mind to increase your chance of landing the job of your dreams. Getting your first data science job might be challenging, but it's possible to achieve with a diligent approach.
How to Start Your Job Search in Data Science
Every day, organizations are creating more and more data, yet struggling to tap into and ultimately benefit from this vast amount of information due to the lack of talent available in the field. A study from McKinsey found that the U.S. alone could face a shortage of 150,000+ data analysts and an additional 1.5 million data-savvy managers by 2018. And, according to LinkedIn, statistical analysis and data mining were the hottest skills that got recruiters' attention in 2014. Glassdoor ranked data scientist as the number one job to pursue in 2016. Harvard Business Review even called it the sexiest career of the 21st century.
Got your attention yet? For those interested in tapping into this in-demand and potentially lucrative career, there are some best practices to ensure you are set up for success before applying for jobs in the field.
