2.3 Three Pillars of Knowledge
- Analytics knowledge and tool sets
A successful data scientist needs to have a strong technical background in data mining, statistics and machine learning. The in-depth understanding of modeling with the insight about data enable a data scientist to convert a business problem to a data science problem.
- Domain knowledge and collaboration
A successful data scientist needs some domain knowledge to understand the business problem. For any data science project, the data scientist need to collaborate with other team members and effective communication and leadership skills are critical, especially when you are the only data person in the room and you need to decide with uncertainty.
- (Big) data management and (new) IT skills