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.
Our Data Scientists have an education in econometrics, artificial intelligence, mathematics or similar. With these backgrounds 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 have also learned how to (visually) present their findings, results and conclusions.
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 Scientists have a proper understanding of the business and know what types of models can be used for different use cases. They 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, where our Data Engineers always make sure 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.