Data scientists at ASCENT are big data wranglers. We take an enormous mass of messy data points (unstructured and structured) and use our formidable skills in math, statistics and programming to clean, manage and organise data. We then apply all our analytic powers – industry knowledge, contextual understanding, skepticism of existing assumptions – to uncover hidden solutions to business challenges.
Found at the cross section of business and information technology, a data scientist is a professional with the capabilities to gather large amounts of data to analyse and synthesise the information into actionable plans for companies and other organisations. Data scientists are analytical data experts who utilise their skills in both technology and social science to find trends and manage the data around them. With the growth of big data integration in business, they have evolved at the forefront of the data revolution.
Technical skills are not all that count, however. Data scientists often exist in business settings and are charged with making complex data-driven organisational decisions. As a result, it is highly important for them to be effective communicators, leaders and team members as well as high-level analytical thinkers. They are highly sought after in today’s data and tech heavy economy.
On any given day, a data scientist is a mathematician, a statistician, a computer programmer and an analyst equipped with a diverse and wide-ranging skill set, balancing knowledge in different computer programming languages with advanced experience in data mining and visualisation.