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We are seeking a Data Scientist with deep expertise in Knowledge Graphs and Ontologies and the ability to work across domains. You will design and deploy production-grade graph solutions that model relationships not only between UAVs, missions, and sensors, but across company processes end-to-end: from operations and production to HR and delivery. Your work will provide a transversal view of how data and processes interconnect, powering insights and decision-making across the organization.
Job Responsibility:
Ontology Design & Management: Design and maintain scalable ontologies to unify mission data, sensor outputs, flight logs, and operational parameters
Graph Engineering (Neo4j): Implement, optimize, and operate Neo4j schemas
write high-performance Cypher queries and ensure production scalability
Graph Data Science: Apply graph algorithms (e.g., centrality, pathfinding, community detection) and graph ML to derive actionable insights
Production Deployment: Move solutions from research to production (TRL > 6)
integrate graph models into APIs and pipelines with reliability and latency constraints
Data Integration: Build ingestion pipelines for structured and unstructured data into the Knowledge Graph
Cross-Functional Collaboration: Translate operational and domain requirements into robust data and graph models
Requirements:
Graph Databases: Advanced Neo4j expertise, including architecture, drivers, administration, and Cypher
Ontology & Semantics: Strong experience with data modeling, ontologies, and semantic technologies (RDF, OWL, SPARQL)
Programming: High proficiency in Python (pandas, networkx, py2neo, neo4j-driver)
Graph ML: Experience with Neo4j GDS or frameworks such as PyTorch Geometric or DGL
Production Engineering: Hands-on experience with Docker, REST APIs (FastAPI/Flask), and CI/CD pipelines
Core Data Science Profile: 3+ years of experience in Data Science or Data Engineering
Experience with NLP for entity and relationship extraction is a plus
Strongly skilled in standard ML workflows (Scikit-Learn, XGBoost)
Experience with geospatial data (GIS, GeoPandas) is valued
Education: MSc in Computer Science, Data Science, or a related engineering field (PhD welcome, but practical delivery is prioritized)
Profile We’re Looking For: Production Builder: You focus on deploying reliable systems, not just experiments
Versatile Specialist: Deep in graph technologies, comfortable across the full data stack when needed
Structured Thinker: You value strong data models, data quality, and long-term maintainability
Nice to have:
Experience with NLP for entity and relationship extraction
Experience with geospatial data (GIS, GeoPandas)
What we offer:
An excellent work environment and an opportunity to make a difference
Salary Compatible with the level of proven experience