Data science is big business. It’s about transforming data into business value with the aid of complex algorithms and machine learning techniques.

If you’re an individual fortunate enough to possess a degree in statistics, machine learning or computer science, how can you now become a Data scientist and get hired?

The challenge is, that being a Data science superstar you’ll almost certainly need to have a long list of skills.  Integral to the role is being able to hold the analytical capabilities of a scientist whilst  having the business expertise of an executive.  You’ll also need to ask the right questions to get the most from your data and the business as a whole.

Microsoft cites a Data Scientist as “representing an evolution from the business or data analyst role. The formal training is similar, with a solid foundation typically in computer science and applications, modelling, statistics, analytics and math.”

Many companies are demanding Data scientists (especially those that rely on social media streams,  consumer data or  crunching large data sets) to apply advanced statistical modelling techniques to make discoveries about business problems.

The data field has rapidly evolved with scientists taking businesses in new directions, solving complex algorithms and developing world first processes. This evolution in data coupled with the range of skills that data scientists possess makes the role of a DS exciting, challenging and totally relevant to the digital age.