Must-haves: - Ability to perform statistical, modelling and hypothesis testing, and multifactor / multi-source data analysis; - Knowledge of standard Python analytical libraries: pandas, numpy, scipy, itest, icomp, ot, ine; - Analytical can-do mindset and structured complex problems solving approach; - Data curiosity and critical thinking are essential along with scientific approach; - Strong opinion weakly held - ability to prove the standpoint, but listen for arguments; Nice-to-haves: - Design code according to PEP 8 format; - Proficiency in SQL, PowerPoint; - English at least intermediate; |