Experience building and maintaining pricing, demand forecasting or other time‑series models in production environments. Your work will span dynamic pricing, demand forecasting and data‑driven buying decisions, where you will build, optimize and productionize models operating at scale. You will explore and implement LLM‑based methods and agentic AI approaches to enhance automation, decision support and model interpretability in real retail scenarios. A key part of your role will be building reliable, scalable data pipelines and ensuring high‑quality data flows across our ML ecosystem. You will collaborate closely with business , product teams and to translate complex retail challenges into measurable ML outcomes, ensuring that models deliver tangible business value. * Strong command of Python (data processing, model development, performance optimization) and SQL ...
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