Senior Data Scientist responsible for designing, deploying and continuously optimizing scalable ML solutions that translate business requirements into measurable impact across EMEA markets.
Requirements
- Master’s degree in Computer Science, Mathematics/Statistics, Economics/Econometrics or related field
- Substantial years of professional experience in quantitative data analysis or PhD with at least 1 year of relevant professional experience with research in machine learning algorithms
- Very good knowledge and in depth understanding of Machine Learning methods, both classical and deep learning models
- Relevant experience with Natural Language Processing (NLP) models for extracting structured concepts from unstructured free text
- Very strong technical capability in Python, SQL, Hadoop ecosystem
- Experience applying AI/Machine Learning methods to business questions
- Very good knowledge of the higher statistical and econometric methods in theory and practice
- Experience with handling Big Data
- Ability to write clean, reusable, production-level code
- Excellent communication skills (written and oral) including technical aspects of a project
- Strong analytic mindset and logical thinking capability, strong QC mindset
- Knowledge of pharmaceutical market and experience with pharmaceutical data would be a plus
Benefits
- Hybrid work environment
- Access to modern technology, largest data sets, best analytics tools
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