Data Scientist
Required skills
Master's degree in mathematics/statistics, economics/econometrics, computer science or related field, good knowledge and understanding of machine learning methods, knowledge of the higher statistical and econometric methods in theory and practice, experience with handling big data, skilled in python/r and sql, fluent in english, strong analytic mindset and logical thinking capability, strong qc mindset, knowledge of pharmaceutical market and experience with pharmaceutical data (medical, hospital, pharmacy, claims data)
Responsibilities
Support in concept design and development of innovative sampling approaches, ongoing development and improvement of quality control methodologies (e.g., anomaly detection, isolation trees), ml based imputation approaches and various projection methodologies specifically for large data sets, support in development and automation of machine learning solutions and technologies and high scale deployment for healthcare big data (pharmacy, hospital, physician, patient), support in development and deployment of new offerings, selection and application of machine learning techniques, in connection with healthcare big data to identify complex patterns, working with technology teams to support machine-learning algorithms in big data platforms
Domain
healthcare
