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Published on May 30, 2015
T. Davenport and DJ Patil have pointed out already in 2012 that Data Scientists are working in the “sexiest job of the 21st century”. Although there are plenty of imaginations what a Data Scientist actually does, core skills for this job definitely include Machine Learning, software development, and business domain expertise.The talk will give a short tour through these key aspects and a glimpse of the working life of a Data Scientist at Blue Yonder. We build predictive applications for customers from various business fields or, to put it in another way, deliver productive data science as a service. Thereby, we make extensive use of the Python ecosystem and leverage it to overcome the two-language problem for rapid prototyping (instead of e.g. R) and productive operation (instead of e.g. C++) in different project phases.