As a Senior Data Scientist you will be a part of the Algorithm team, collaborating with Data Analysts, Data Engineers and ML/DL engineers to research, develop, and deploy machine learning models at scale.
You will design and implement the ML lifecycle infrastructure, from data gathering, analysis, transformation/preparation to model training, development and validation, and up to model serving, monitoring, and re-training.
As a Senior Data Scientist will oversee the definition, collection, organization and management of incoming data for the algorithm team. You will take ownership of predictive modeling projects, including EDA, model training, architecture and parameters\features optimization, performance evaluation and ongoing monitoring. You will research and experiment with state-of-the-art machine learning, deep learning, optimization and statistics algorithms to solve a wide range of business problems.
You will be in charge of researching, communicating and embedding data best practices in terms of architectures, services and platforms, to continuously improve on ML processes, tools and standards.