Lead End-to-End Model Development: Design, develop, and deploy advanced statistical and machine learning models to solve complex retail problems including customer segmentation, promotion optimization, and demand forecasting
Job Summary
Lead End-to-End Model Development: Design, develop, and deploy advanced statistical and machine learning models to solve complex retail problems including customer segmentation, promotion optimization, and demand forecasting.
Drive Scalable Data Solutions: Architect and implement scalable data pipelines and model workflows using Python, SQL, and cloud platforms to support continuous data integration and model retraining across large-scale retail datasets.
Partner with Business & Technical Stakeholders: Collaborate with product, merchandising, marketing, and technology teams to translate ambiguous business questions into structured analytics problems and deliver insights that drive strategic decisions and operational improvements.
Matching Summary
Lead End-to-End Model Development: Design, develop, and deploy advanced statistical and machine learning models to solve complex retail problems including customer segmentation, promotion optimization, and demand forecasting.