Senior Data Scientist

Responsibilities

• Architect, develop and deploy machine learning systems to production. The main use cases are related to chatbots and search
• Design and execute experiments
• Analyze a wide variety of data (structured and unstructured, observational and experimental) to improve current models or create new ones
• Participate actively in discussions and decisions regarding the whole Data Science chapter (Guilds, Design Reviews, Demos, etc.)

What we are looking for:

• People that are seeking to learn and deliver real impact through Data Science
• Expert knowledge of machine learning concepts: regression and classification, clustering, neural networks, feature selection, cross-validation, curse of dimensionality, bias-variance tradeoff, model explainability, etc.;
• Good understanding of the engineering challenges to deploy machine learning systems to production;
• Proficiency in Python;
• Practical experience in Natural Language Processing (NLP);
• Experience with technical advice for other data scientists (technical leadership);
• Excellent written and verbal technical communication skills. We're looking for someone who loves Data Science & Machine Learning and is willing to share his/her knowledge with the other members of the Data Science Chapter;
• Good English skills (verbal and written) is mandatory