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, including the design, training, and evaluation of information-extraction pipelines.
- Very strong technical capability in Python, SQL, Hadoop ecosystem.
- Experience applying AI/Machine Learning methods to business questions.
- Very good knowledge of 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, ability to develop usable documentation, results interpretation and business recommendations.
- Strong analytic mindset and logical thinking capability, strong QC mindset.
Benefits
- Opportunity to work with large and complex data and methodologies in a fast-paced, ever-changing environment
- Access to the most cutting-edge technology, the largest data sets, the best analytics tools
- Opportunity to work on exciting international projects with interesting development perspectives
- Part of a recognized global leader in the healthcare industry
- Opportunity to drive your career and choose the path that best defines your development and success