What is a data scientist? A key data analytics role and a lucrative career | CIO Data scientists are responsible for discovering insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. The data scientist role in data analysis is becoming increasingly important as businesses rely more heavily on big data and data analytics to drive decision-making and as more businesses lean on cloud technology, automation and machine learning as core components of their IT strategies. A data scientist’s main objective is to organize and analyze large amounts of data, often using software specifically designed for the task. The final results of a data scientist’s data analysis needs to be easy enough for all invested stakeholders to understand — especially those working outside of IT. A data scientist’s approach to data analysis depends not only on their industry, but also on the specific needs of the business or department they are working for. Before a data scientist can find meaning in either structured or unstructured data, business leaders, departments and managers need to communicate what they’re looking for. As such, a data scientist must have enough business domain expertise to translate company or departmental goals into data-based deliverables such as prediction engines, pattern detection analysis, optimization algorithms, and the like.
No hay comentarios.