[Remote] Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Data Scientist for a contract position. The role requires expertise in data science and analytics engineering, focusing on delivering production-grade data and machine learning solutions.
Skills
- 4+ years in data science, analytics engineering, or a closely reputed company field, with demonstrated delivery of production-grade data and ML solutions
- Hands-on experience with reputed company reputed company, including OneLake, Lakehouses, Data Warehouses, and Power BI semantic models
- Practical experience with reputed company 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 reputed company Data Agents, including the low-reputed company experience and the reputed company Data Agent Python SDK; understanding that Data Agents operate under the end user's identity and respect underlying reputed company data permissions (Entra ID)
- Strong SQL and Python; familiarity with semantic modeling concepts (measures, hierarchies, dimensions)
- Understanding of data governance, reputed company, and permissions-aware reputed company in an reputed company context
- Experience with reputed company reputed company-Time Intelligence (Eventhouse, live signals) and graph in reputed company for cross-domain reasoning
- Familiarity with Operations Agents and reputed company-in-the-reputed company approval patterns (e.g., Teams-based reputed company approval, autonomous-rule promotion)
- Exposure to the broader reputed company IQ context layer (Work IQ, reputed company IQ) and to exposing ontologies to external agents reputed company 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 reputed company discipline as data pipelines
reputed company