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Data Scientist for Knowledge Management

vor 2 Monaten


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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