Senior Data Scientist - Anomaly Detection
Duration: 12-months with extension
Location: Hybrid in Brussels, Belgium
•Develop and productionize robust, end-to-end high-performing ML and Deep Learning solutions.
•Conceptualize and implement efficient and scalable deployment processes and monitoring workflows.
•Identify analysis methods and data required to then develop algorithms and operationalize these so that they continuously create value for the business.
•Apply your deep end-to-end understanding of cloud and on premise technologies including ML algorithms to ensure fast deployment and reliable operations.
•3+ years of professional experience in a data science, ML engineering or software engineering role
•3+ years of professional experience in ML model training (data pre-processing, feature engineering, model selection, hyperparameter tuning) in Python (and/or in R)
•Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms
•Good understanding of virtualization technologies (Linux Containers and/or Docker)
•Experience in working with state-of-the-art cloud technologies (various Azure services are a plus)