What excites you most when working with data?
The creativity, the fact that you are not only allowed, but required to remain curious, critical, to think outside of the box and be unique. Moreover, no project will be exactly the same even if it is in the same area. You will for sure always learn something new and most of the times the learning curve will be very steep.
Which skills would you regard as vital in your current role and which technologies are you primarily using?
Flexibility, curiosity, proactivity, critical thinking and having an innovative, disruptive mindset are the most important skills in my role. I am primarily using Alteryx, R, Tableau, PowerBI and SQL.
People debate how the optimal composition of a data science/analytics team should look like. What backgrounds do your teammates have and what do you think the optimal composition of a data science team should look like?
In my team, most of us have a pure science and/or quantitative science background such as mathematics, physics, statistics, engineering, IT etc.
I think it is important that we all have a technical and quantitative background, which gives us a common language and a common touch base. In general I believe, that innovative ideas result from a diverse and unique mix of profiles and an open-minded team culture. The more you have this kind of coexistence, the better the ideas will get. However, you always need people with a clearer focus on the business side, in order to bring those ideas onto the market.
Which three pieces of advice would you give to aspiring data scientists?
- Be curious, stay critical and become disruptive.
- In the first couple of years, learn as much as you can in as many different industries with as many different technologies as possible.
- Network as much as you can, the data science community is like a big family!
Thank you for your time!