Data Scientist / Machine Learning

• Machine Learning and Cloud Engineering 50% Designing machine learning pipelines that curate datasets, train, test, and validate models,compare model performance to existing or previously catalogued models, and then package the models and either deploy them to a real-time serving layer or handle batch scoring activities
• Collaborate with Microsoft Cloud Solution Architects and Data Platform Engineers in developing complex end-to-end Enterprise solutions on Microsoft Azure platform.
• Conduct data profiling, cataloguing, and data mapping for technical design using a use case-based approach that drives the construction of technical data flows.
• Assess the effectiveness and accuracy of data sources and data gathering techniques
• Design and develop Machine Learning and Statistical Models (preferably using R & Python), and other data analysis techniques to collect, explore, and extract insights from structured and unstructured data

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