DBE blank job profile
As a marketing data scientist, you’re welcome to work on one, multiple or even all of these 4 key domains:
1. Data capturing. You are not afraid to extract data from various systems in a structured, semi-structured or unstructured way. You find an efficient and pragmatic approach to analyse and visualize the information and are not afraid to sometimes jump into more technical setups together with your data engineering colleagues.
2. Strategic & business advise: you act as a business advisor that builts a bridge between IT and the sales and marketing department. You advise our customers on how they can activate their data to optimize their sales and marketing return on investments. You don’t stop at the insight or data discovery but translate it towards a realistic action for our customers to take.
3. Visualization. You make sure the data is properly visualized, both content- and design-wise. You keep in mind the different levels of data maturity of your business audience and make sure your message comes across in a clear way. An eye for detail & great data annotations are key.
4. Analytics and data science. You help your customers generate the right type of insights. From data analysis for strategic insights on past events or handling large volumes of data to segment a customer base and even predicting future events. This is where the ‘data rubber’ hits the ‘analytics road’. Not an easy task in a complex, multi-platform data environment. Azure Machine Learning Services, Azure Databricks, SQL and Python are at your disposal.