The shortage of data scientists across the nation is no big secret, so many tech-minded individuals are seeking ways to enter this potentially lucrative career path. BitNewsToday recently asked several experts a few questions about how to become a data scientist and what the state of the data science industry is today, starting out by writing “Data Scientists are among the most sought after in the labor market at the moment.”
In the article, the writer asks some very specific questions about what it takes (and how long it takes) to become a data scientist, what skills one might need and what the future holds. Adam Lichtl, founder of Pacific Data science weighed in:
‘Qualified employees in this area are in high demand all over the world, and this demand is rapidly growing,’ says Adam Lichtl, PhD, who is the founder of Pacific Data Science and adds that there has been an extensive amount of coverage about the workforce shortage in this field: ‘Everything is becoming digitized, new data is available all the time, and volumes of data are increasing. Businesses need to use this data wisely to make good decisions. Unfortunately, there’s a talent gap for available data scientists because, like other highly skilled professions, it takes years of training and experience to do the job effectively and efficiently.’
Delving into the skills needed to be effective in this job, the article covers things like mathematics, programming skills, understanding and application of machine learning and business communication skills. We believe that project management is also a large piece of this puzzle in bringing all the pieces together and reaching a data-driven project’s goal.
With all the “get rich quick” data science schemes out there, and cheap online courses promising a career in data science, it was refreshing to see that—in this article at least—the experts all agree: data science requires training and experience. “In order to become a high-end specialist, you must obtain a university degree in physics, applied mathematics or programming. In addition, self-study and participation in projects related to Data Science will be needed.”
So as future data scientists get the training and practical experience they need to successfully execute data science projects tomorrow, companies continue to feel the talent shortage today. As with any highly-specialized field, one promising approach is a consultancy or agency style model, which brings experienced mathematicians, programmers, statisticians, project managers, and communications experts all under one roof. Companies can flexibly engage these teams to accelerate their in-house efforts without the hassle, expense, and risk of recruiting, hiring, training, and retaining these hard-to-find individuals as full-time employees.
For the complete article, visit: https://bitnewstoday.com/news/how-to-become-a-data-scientist/