Position Details
About this role
Lead analytics across procurement and operations COE to turn complex data into decision-ready insights and measurable value. Build production-grade models and dashboards and drive adoption across global stakeholders.
Key Responsibilities
- Lead high-value analytics use cases from problem framing through production
- Build and deploy predictive and prescriptive models (forecasting, optimization, anomaly detection) using Python and SQL
- Transform ERP, supply chain, procurement and operations data into reliable analytical assets
- Operationalize analytics products using modern data platforms and MLOps
- Deliver executive-ready insights through Power BI dashboards
Technical Overview
Stack includes Python, SQL, Azure, Databricks, Snowflake, Microsoft Fabric, and Power BI. Focus on predictive and prescriptive modeling, MLOps, and executive storytelling.
Ideal Candidate
The ideal candidate is a senior data scientist with 7+ years of end-to-end analytics experience in procurement and operations, strong Python/SQL and ML modeling skills, and hands-on experience with Azure, Databricks, Snowflake, and MLOps to deploy production analytics and dashboards.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
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