- Build and validate ML models supporting pricing, promotion, and markdown optimization.
- Contribute to GenAI initiatives — Build vertical-domain agents and agent clusters.
- Partner with Data Engineering to build robust, production-grade data pipelines.
- Perform exploratory data analysis and translate retail/CPG data into actionable insights.
- Build dashboards and visualizations to communicate findings to product and business stakeholders.
- Participate in code review, model validation, and documentation practices.
- Develop scalable feature engineering workflows over large retail datasets.
PythonSQLPyTorch+7 more