Netcompany Belgium is seeking a Data Scientist in Brussels, Belgium, offering a hybrid work arrangement. In this role you will collaborate with stakeholders to translate business problems into data science hypotheses, define success metrics, and develop or deploy advanced data mining and machine learning solutions. You will also work with UX and product teams to specify design requirements for presenting and interpreting model outputs and insights. You will develop processes to monitor data accuracy and will identify, collect, and prepare data for analysis in partnership with Data Analysts to ensure robust production-grade data pipelines, focusing on feature engineering and data readiness for modeling. You will produce data models addressing specific problem statements and develop and implement machine learning algorithms, statistical models, and scripts to solve business problems. You will collaborate with Data Analysts and Architects to design analytics architecture that supports scalability and performance of data science models. You will document tasks and liaise with other teams to address cross-system interdependencies.
Netcompany Belgium is seeking a Data Scientist in Brussels, Belgium, offering a hybrid work arrangement. In this role you will collaborate with stakeholders to translate business problems into data science hypotheses, define success metrics, and develop or deploy advanced data mining and machine learning solutions. You will also work with UX and product teams to specify design requirements for presenting and interpreting model outputs and insights. You will develop processes to monitor data accuracy and will identify, collect, and prepare data for analysis in partnership with Data Analysts to ensure robust production-grade data pipelines, focusing on feature engineering and data readiness for modeling. You will produce data models addressing specific problem statements and develop and implement machine learning algorithms, statistical models, and scripts to solve business problems. You will collaborate with Data Analysts and Architects to design analytics architecture that supports scalability and performance of data science models. You will document tasks and liaise with other teams to address cross-system interdependencies.
Qualifications: Minimum 8 years of hands-on experience in data science, advanced analytics, and AI/ML engineering, plus a Bachelor's degree. Expertise in designing, implementing, and validating 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 modern tools such as Scikit-learn, TensorFlow, PyTorch, and Hugging Fa
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Qualifications: Minimum 8 years of hands-on experience in data science, advanced analytics, and AI/ML engineering, plus a Bachelor's degree. Expertise in designing, implementing, and validating 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 modern tools such as Scikit-learn, TensorFlow, PyTorch, and Hugging Fa
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