Data Scientist

Main tasks

• Design and implement Knowledge Graphs to structure and interconnect enterprise data sources.
• Apply Machine Learning algorithms to extract patterns, relationships, and semantic meaning from large data sets.
• Work closely with Data Engineers and ML Engineers to deploy scalable data pipelines and ML models.
• Develop and maintain data schemas, ontologies, and graph querying logic (SPARQL, Cypher, etc.).
• Contribute to model evaluation, feature engineering, and optimization for production environments.
• Present analytical findings and predictive insights to technical and non-technical stakeholders in clear, concise English.

Requirements

• Bachelor’s degree or higher in Data Science, Computer Science, or a related field.
• Solid experience with Python and relevant ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn).
• Practical expertise with graph databases (e.g. Neo4j, RDF stores, GraphDB).
• Experience in NLP, entity linking, and relationship extraction is a strong advantage.
• Proven ability to deploy ML models and data solutions in production (AWS, GCP, or Azure).
• Strong communication skills and the ability to work effectively in English-speaking environments.

Other requirements

• Fluent in English;
• Ability to simplify complex problems and obtain a workable solution;
• Customer focus and service delivery;
• Availability to work in EU.