B2B Data Scientist (REMOTE)

Job Description This is a remote position. Data: 06 August 2026 RecruityTalent is a Recruitment agency, supporting startups and enterprises in Bulgaria, EMEA and LATAM by connecting them with top talent. RecruityTalent is your trusted hiring partner. For one of our clients, we are looking for a Data Scientist . Work model: Remote, Bulgaria Contract: B2B or Standard Contract Key responsibilities Data products & canonical modeling — Design and deliver the first reference data products (Supplier Master, Spend Cube, Contract Register) end to end, from source ingestion through the canonical model. Knowledge graph & ontology — Stand up and operate the platform and working graphs (ontology, reference data, tenant separation); own the graph-plus-vector retrieval design, deciding per source whether data is represented as entities/relationships, embedding, or both. Master data & semantic layer — Build matching rules, golden records, and stewardship processes for Suppliers, Contracts, and Categories; contribute to the business glossary and taxonomy-to-ontology mapping. Extraction & evaluation — Build document-extraction pipelines (e.g., from SharePoint sources) with confidence scoring and human review for uncertain cases; build and maintain labeled evaluation datasets and accuracy benchmarks against agreed thresholds. Connector framework — Build source connectors (starting with Fabric data products and master data golden records) so new sources can be onboarded without modifying the graph core or query service. Quality feedback loop — Implement the mechanism routing agent overrides, failures, or low-confidence retrievals back to data owners so data products improve over time rather than decay. Engineering practice — Work exclusively in company’s GitHub/Azure environment; ship via pull request with CI (build, tests, security scan, evaluation fixtures); version all schemas, connector contracts, and extraction configs. Required qualifications Demonstrated experience taking a knowledge graph system to production (not just prototyping) — schema design, query performance, tenant/data isolation - Using Neo4J and Python Strong background in semantic modeling: ontologies, taxonomies, business glossaries, and their relationship to graph and canonical data models. Hands-on experience with semantic web standards and technologies including OWL/OWL2, RDF, RDFS, SPARQL, ontology lifecycle management, taxonomy alignment, and semantic reasoning. Experience building data products and master-data pipelines (entity matching, golden-record consolidation, stewardship workflows). Experience designing and implementing hybrid retrieval architectures combining graph databases (e.g., Neo4j) and vector databases to support semantic search, RAG, and AI agent workloads. Experience with retrieval architectures combining graph and vector/embedding approaches. Experience building and maintaining labeled evaluation datasets and measuring extraction/model accuracy against a threshold. Proficiency with modern data/ML engineering practices: version control, CI/CD, automated testing, containerized deployment Preferred qualifications Experience with Python, Neo4J Experience designing and implementing enterprise ontologies using OWL/RDF/RDFS standards, SPARQL querying, taxonomy management, semantic reasoning, and knowledge graph architectures. Experience designing and delivering ontology models and semantic frameworks, including ontology definition, business concept modeling, taxonomy alignment, and knowledge graph implementation. Experience with ontology editors and semantic tooling (e.g., Protégé), graph databases, vector databases, reasoning engines, and linked-data architectures. Experience with Microsoft Fabric and SharePoint-based document extraction pipelines. Experience designing systems for auditability/explainability (e.g., point-in-time context reconstruction). Apply now! You can trust that as a GDPR-compliant agency, we uphold the highest standards of data confidentiality, ensuring all candidate information is securely stored and managed in full accordance with local GDPR regulations. Protecting privacy remains our top priority throughout the recruitment process. RecruityTalent holds Recruitment License No. № 3836, guaranteeing full compliance with industry standards and legal requirements.