Ten years ago, the role of Data Scientist was dubbed “the sexiest job of the 21st century”, but no one could really pinpoint exactly what a Data Scientist’s background should be, what their daily responsibilities were, or their career progression – they were supposedly a mythical unicorn, of sorts, which should be able to do everything and bring companies into the 21st century via data. Just as technology is advancing every 18 months, job titles and their descriptions are ever-evolving as well.
Recently, Wallaroo’s VP of Data Science Practice, Nina Zumel, was interviewed by Rick Dagley from ITPro Today discussing a major topic in the AI/ML industry today: Data Scientist Careers Are Evolving — Here’s Why.
For those interested in a deeper dive into the roles of Data Scientist and Machine Learning Engineer, both similarities and differences, as well as how these roles collaborate to form “The A-Team”, our blog, Data Scientist vs Machine Learning Engineer gives great insight into this strategy.
