Our Data Scientists are experts in advanced analytics. They have extensive experience in exploring large quantities of complex, variable and often non-modelled data from both existing and new data sources. They keep a close eye on data quality, validity and appropriateness. They analyse this data and translate it in a way that it can be used in statistical modelling. The models they built can be used in a production environment and add value to the business.
Building models to create Insights
Insights are one thing, but Data Science gets really interesting when it also leads to inferential or even predictive models. These models can for example be used to better understand and also predict customer behaviour. Our Data Scientist know what types of models can be used for different use cases and are able to build and test the different models selecting the best model fit for the purpose. Ultimate goal is always to build the best model keeping in mind that the model can be used in a production environment. Real value is only added when the models built are used on real life data.
Building the right models need a proper understanding of the business. In different projects our Data Scientists learned a lot about different branches. This knowledge helps them to be of more value to organisations in these lines of business.
Our Data Scientists have an education in econometrics, operations research, mathematics, computer science or similar. With this background they are experts in advanced analytics. From their education they have an overview of different interconnected issues on collecting, analysing, modelling and forecasting data. They also have learned how to (visually) present their findings, results and conclusions.