Data Scientist for Knowledge Management

vor 1 Woche

Basel, Schweiz Work Selection Vollzeit

**Beschreibung**: "Welcome to an exciting opportunity with our international client. We are looking for a dynamic and highly motivated individual to strengthen the team in the position of **Data Scientist for Knowledge Management**." As a Knowledge Engineer, you will be a critical member of our team, responsible for designing, building, and managing knowledge-based systems. Your role will involve capturing, organizing, and maintaining knowledge resources to support decision-making processes and enhance the efficiency of our organization. **Key Responsibilities**: - Utilize various tools and methodologies to extract and structure knowledge effectively. - Create and maintain structured knowledge bases and databases. - Develop and implement ontologies, taxonomies, and classification systems to organize information. - Ensure seamless access to knowledge resources by relevant stakeholders. - Monitor and update knowledge resources to keep them current and accurate. - Establish processes for quality control and version management of knowledge content. - Work closely with cross-functional teams to identify knowledge gaps and requirements. - Collaborate with data scientists, engineers, and other experts to align knowledge systems with organizational goals. **Qualifications**: - Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Knowledge Engineering, Information Science). - Demonstrated experience in knowledge engineering, knowledge management, or a related field. - Proficiency in knowledge representation languages (e.g., RDF, OWL) and semantic web technologies. - Strong programming skills in languages like Python, Java, or similar. - Knowledge of AI and machine learning concepts is a plus **Preferred Qualifications**: - Experience with knowledge engineering tools and platforms (e.g., Protégé, Stardog, TopBraid Composer). - Familiarity with data integration and extraction methods. - Experience in creating and maintaining ontology-driven systems.

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