Agility for Data Science - Discovery to Prototyping
I have extensively worked with data science/research teams. One of the challenges I found was that the teams typically worked in a explorative fashion and failed to meet time-bound goals.
Also it is important for the data scientist to know their customers to be able propose solutions. So I worked in devising how design thinking and data science work can be coupled to deliver results.
In the talk, I would like to show the entire lifecyle of what we developed at, Zalando SE, which is europe's leading fashion e-commerce platform, to deliver data products.
Outline/Structure of the Talk
- Data Products
- Challenges the Data Scientists teams face
- How we created a roadmap for changes
- What we achieved
The session would aim showing
- How Agile is not just meant for traditional software development
- Importance of involving engineers at the time of discovery, than just passing on the requirements