Data Scientist

• dive into the world of Artificial Intelligence (AI)
• apply skills to real-world scenarios in various domains such as discovering and investigating payment flows at government agencies, fraud detection at banks, developing recommendation systems in retail, and optimizing supply chains
• develop and implement solutions with Machine Learning & Deep Learning for clients
• assess the quality and performance of existing predictive models, including bringing and keeping these models in production

• masterdiploma or equivalent experience in data science as a data-scientist, machine learning engineer, MLOps or software engineer
• excellent knowledge of Dutch, fluent communication
• experience with data science techniques: supervised learning algorithms and unsupervised learning algorithms, deep learning, anomaly detection, recommendation systems, natural language processing, computer vision and reinforcement learning, auto-encoders, transformers, predicting
• experience in one of the following languages: Python, R
• experience with bringing data science solutions/software into production (Azure, AWS, GCP, Kubernetes, Docker, etc.)
• experience with building and implementing advanced analytics solutions and ability to provide reference cases
• deep knowledge of open source software and libraries in Python and/or R for machine learning and deep learning
• experience with big data and platforms like Azure Machine Learning Services and Amazon SageMaker is a plus

experience with big data and platforms like Azure Machine Learning Services and Amazon SageMaker

• permanent contract and attractive salary
• possibility to work from home
• mobility arrangements: a mobility budget that suits your preferred way of traveling
• numerous additional employment benefits such as a home office setup allowance, laptop and phone, pension scheme, internet allowance, and collective health insurance
• 20 paid vacation days and a flexible part of your salary, e.g., 7 extra vacation days or extra money
• opportunity to expand and share skills through knowledge and networking sessions, and participate in fun social activities like game nights, escape rooms, laser tag, and much more