I wanted to share this HBR article as it features a data-scientist leader from Seattle who argues that communication remains a critical part of data work and that while building and using deep-learning infrastructures are important, neither are as vital as the ‘ability to learn on the fly and communicate to stakeholders.’
I believe that while communication is important, it completely depends on your level of experience. If you work for a data-centric company; as many start-ups today are, communication isn’t going to be the key attribute needed of a tech professional. There will be a CTO or CDO who will be responsible for translating the data-work with the wider business allowing data scientists to focus on their strongpoints. If it’s a massive conglomerate however, it is likely that the company will require a chief data scientist to cement their place in the business and get buy-in from shareholders - this is where communication needs to come back into play.
Do you think communication is the most important skill-set of a data scientist? You can read the full article here:
