Data Scientist – Brussels, Belgium (Hybrid) at Netcompany Belgium. As a Data Scientist, you will collaborate with stakeholders to collect requirements, frame business problems as data science hypotheses, define success metrics, and develop or deploy advanced data mining and machine learning solutions. You will work with UX and product teams to specify design requirements for the effective presentation and interpretation of model outputs and insights. You will establish processes to monitor data accuracy, identify and prepare data for analysis, and ensure production-ready data pipelines with a focus on feature engineering and data readiness for modelling. You will produce data models to address defined problem statements, develop and implement machine learning algorithms and statistical models, and collaborate with Data Analysts and Architects on the analytics architecture to meet scalability and performance requirements. You will document tasks and coordinate with other teams to address cross-system interdependencies. Qualifications: Bachelor's degree with extensive hands-on experience in data science, analytics, and AI/ML engineering. Expertise in end-to-end data-driven solutions including forecasting, recommendation systems, anomaly detection, and sentiment analysis. Hands-on experience building predictive and text-based models using Scikit-learn, TensorFlow, PyTorch, and Hugging Face. Proficiency in Python, R, SQL (Perl optional). Strong ETL/ELT pipeline design experience (dbt, Azure Data Factory, Talend) and scalable architectures (data lakes, lakehouses, Hadoop). Exper

Data Scientist – Brussels, Belgium (Hybrid) at Netcompany Belgium. As a Data Scientist, you will collaborate with stakeholders to collect requirements, frame business problems as data science hypotheses, define success metrics, and develop or deploy advanced data mining and machine learning solutions. You will work with UX and product teams to specify design requirements for the effective presentation and interpretation of model outputs and insights. You will establish processes to monitor data accuracy, identify and prepare data for analysis, and ensure production-ready data pipelines with a focus on feature engineering and data readiness for modelling. You will produce data models to address defined problem statements, develop and implement machine learning algorithms and statistical models, and collaborate with Data Analysts and Architects on the analytics architecture to meet scalability and performance requirements. You will document tasks and coordinate with other teams to address cross-system interdependencies. Qualifications: Bachelor's degree with extensive hands-on experience in data science, analytics, and AI/ML engineering. Expertise in end-to-end data-driven solutions including forecasting, recommendation systems, anomaly detection, and sentiment analysis. Hands-on experience building predictive and text-based models using Scikit-learn, TensorFlow, PyTorch, and Hugging Face. Proficiency in Python, R, SQL (Perl optional). Strong ETL/ELT pipeline design experience (dbt, Azure Data Factory, Talend) and scalable architectures (data lakes, lakehouses, Hadoop). Exper