Senior Data Scientist with ML & Fabric
Core
Building predictive and prescriptive machine learning models and agentic AI workflows on Microsoft Fabric to convert analytics into actionable guidance for retail store, district, and regional teams.
Role type
Senior IC machine learning engineer (agentic AI & Microsoft Fabric)
Builds
Conversational agents, automated alerts, intelligent workflows, and production ML models for retail analytics
Domain
Retail / Commerce analytics
Deliverable
production ML models | product features
Required skills
Machine learning, forecasting, recommendation systems, segmentation, cohort analysis, anomaly detection, feature engineering, agentic AI, LLM orchestration, retrieval-augmented generation, prompt design, tool/function calling, Python, SQL
Preferred skills
Retail or commerce analytics experience, Snowflake-to-OneLake mirroring, medallion architecture, Fabric Data Agent, multi-agent design patterns, Power BI, DAX, relevant Microsoft/Azure certifications
Technologies
Microsoft Fabric, OneLake, Delta, Power BI, Azure AI Foundry Agent Service, Copilot Studio, Azure AI services, Snowflake
Responsibilities
Develop and manage MLOps within Fabric Data Science, handle feature engineering in OneLake, build agents using Fabric Data Agent and Copilot Studio, create conversational agents and automated alerts
Seniority
Senior, hands-on IC
