Senior Data Scientist II - Supply Chain
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About the Role
Seeking a senior data scientist to optimize supply chain operations through demand forecasting, inventory management, and dynamic pricing using machine learning.
Key Skills for This Role
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Overview
We re looking for senior technical leaders who can architect and scale intelligent systems that architect the "brain" of our dark store operations.
As a senior data scientist you won t just be building models, you ll be optimizing the lifecycle of millions of items from the moment they leave a supplier to the moment they reach a customer s doorstep in under 20 minutes.
You will tackle the classic "perishable trade-off" ensuring our shelves are always stocked with what customers want, while ruthlessly minimizing wastage and maximizing every square centimetre of our dark store floor space.
What You'Ll Do
- Demand Forecasting: Build and deploy high-precision forecasting models to predict hyper-local demand at the SKU-store level.
- Inventory & Availability: Develop replenishment algorithms that balance In-Stock Availability with the risk of expiry, specifically for high-turnover perishables.
- Wastage Mitigation: Use ML to identify items at risk of expiring and trigger automated interventions including reduced-to-clear discounting, intra-store replenishment etc.
- Dynamic Pricing & Discounts: Design and A/B test pricing strategies that move inventory efficiently without eroding margins.
- Space Management: Optimize dark store space determining which items should be stored where within the dark store to minimize picker travel time and maximize storage density.
- End-to-End Ownership: Work closely with Product Managers and Supply Chain Operations to turn your models into production-level code that dictates real-world logistics.
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