Description
The role involves independently taking on modeling and analysis projects, preparing data from different systems, applying feature engineering, developing practical statistical models and prototypes, conducting analyses and simulations, and advising other teams on data-driven product improvement. The position requires a relevant degree, strong statistical and modeling knowledge, practical experience with data preparation, feature engineering, quantitative methods, and multivariate analysis, proficiency in at least one data-science language such as R or Python and SQL, and strong German and English communication skills.
