Emese Domahidi (Assistant Professor at TU Ilmenau) and Mario Haim (Assistant Professor at the U of Leipzig) interview Till Keyling (former Senior Data Scientist at ProSiebenSat.1 and now Team Lead Software Engineering Data Science at PAYBACK) on how to become a data scientist. After learning what data science is, we look at what communication scientists can bring to the table, what university is capable of equipping us with, and what it is that potential employers look for in future data scientists. Also, do not miss out on Till talking us through an application process. References Gamma, E., Helm, R., Johnson, R., & Vlissides, J. (1994). Design patterns: Elements of reusable object-oriented software. Addison-Wesley. Robinson, E., & Nolis, J. (2020). Build a career in data science. Manning. Martin, R.C. (2008). Clean code: A handbook of agile software craftsmanship. Prentice Hall. Martin, R.C. (2017). Clean architecture: A craftsman's guide to software structure and design. Prentice Hall. Links and Podcasts https://news.ycombinator.com/ https://towardsdatascience.com/ https://towardsdatascience.com/podcast/home