Data Science teams are usually highly-skilled and enthusiastic, but do they manage to stay relevant in face of extreme growth and an intense Agile environment?

In this talk, I'll suggest that although intuitively it makes sense to have an unstructured Data Science team that's not bound to agile principles, without any concern for execution and delivery - ultimately this is counter-productive. I will review some fundamental steps to structure an impactful Data Science team, which includes creating a proper environment and work culture.

In my experience as a Data Science leader, once we’ve transitioned to become an Agile team that is focused on clear business KPIs, we’ve managed to become a strong and independent force, significantly impacting the company’s success.