by Ray Hayes
Last week, I promised to provide more information on US jobs with huge talent gaps. To being, I’d like to highlight the career of a Data Scientist. Before we dive too far into the subject, I would like to break down the skill set and opportunities for a data scientist.
The job description of a data scientist is changing by the minute with our ever evolving technological advances but in general a data scientist, “…spends long hours collecting and analyzing data to spot trends and help a company face the challenges of an evolving customer base and changing marketplace.” The educational background of data scientist consists of a bachelor’s degree in computer science and/or master’s degree in business analytics or an advanced computer programming field. Furthermore, the base median salary for a data scientist in the US ranges from $104,000 to, according to a Glassdoor survey, $113,000.
The origin of the data scientist came about based on the fast growing technological advances which has changed the way we look at statistics. With the increase of data around the globe, data analytics has become increasingly necessary. According to Bill Schmarzo, EMC CTO, ““The thing that’s really hard for people to get their heads around is the big data technologies are 20 to 50 times cheaper than traditional data warehousing technology. The economics of big data is what’s making the change.”
In order to combat the shortage, universities are revving up there post graduate study programs. Kennesaw State University Professor Jennifer Priestley spoke with Data Nami about how things are changing for data scientist. Priestley explained that, “We’re seeing more PhD program in data science, and heaven knows we’re seeing an explosion in masters-level data science programs, and I think that’s a good thing.”