Data Scientist

• 4+ years in data science, analytics engineering, or a closely related field, with demonstrated delivery of production-grade data and ML solutions.
• Hands-on experience with Microsoft Fabric, including OneLake, Lakehouses, Data Warehouses, and Power BI semantic models.
• Practical experience with Fabric IQ, specifically building or maintaining ontologies that define business entities, relationships, properties, rules, and actions, and aligning them with existing Power BI semantic models. (Note: ontology is currently in preview, so candidates from late-2025/2026 hands-on programs are realistic.)
• Experience designing, building, and publishing Fabric Data Agents, including the low-code experience and the Fabric Data Agent Python SDK; understanding that Data Agents operate under the end user's identity and respect underlying Fabric data permissions (Entra ID).
• Strong SQL and Python; familiarity with semantic modeling concepts (measures, hierarchies, dimensions).
• Understanding of data governance, lineage, and permissions-aware access in an enterprise context.

Preferred / nice-to-have:

• Experience with Fabric Real-Time Intelligence (Eventhouse, live signals) and graph in Fabric for cross-domain reasoning.
• Familiarity with Operations Agents and human-in-the-loop approval patterns (e.g., Teams-based action approval, autonomous-rule promotion).
• Exposure to the broader Microsoft IQ context layer (Work IQ, Foundry IQ) and to exposing ontologies to external agents via MCP.
• Experience with NL2Ontology / natural-language querying over a semantic layer.
• Background treating the semantic layer as production infrastructure - versioning, testing, and governing ontologies with the same discipline as data pipelines.