Jillian Augustine

Jillian is a Principal Data Scientist at Crayon‘s European AI Center of Excellence in Vienna. Together with her team of data scientists, machine learning engineers and solution architects, Jillian aims to uncomplicate the complicated for organizations to unlock business insights, and use technology to drive the greater good. She believes in the importance of increasing the inclusivity of working groups through open exchanges and active diversification.

Jillian has a my in Molecular Biology from the University of Vienna.

Impulse Talk: “Practical advice on transitioning into data science from non-computer science academia”

Working in a data science team, you will often find that people come from a range of different backgrounds. Many backgrounds provide a solid foundation on which you can build data science skills. But if you are outside of an advanced mathematical or informatics field, knowing exactly where your strengths lie and what you need to work on can be unclear. In this talk I will answer questions commonly asked by people who want to transition into data science. I will talk about the requirements for your first data science job, what hiring managers look out for and my personal learning path.