Senior Supply Chain Data Scientist (On-Site)

Location: Analytics Center / Office (Full-Time, 100% In-Office)

Experience: 4–8 Years

Department: Advanced Analytics & Operations Research

About the Role:

We are looking for a quantitative Supply Chain Data Scientist to build the mathematical engines that power our predictive logistics, network optimization, and automated inventory management platforms. Working hand-in-hand with our data engineers, software architects, and client success leads at our central office, you will transform massive, multi-enterprise logistics datasets into actionable, real-time decision frameworks that help global enterprises minimize stock-outs, reduce holding costs, and bulletproof their supply chains against disruption.

Key Responsibilities & Detailed Breakdown:1. Demand Forecasting & Predictive Modeling

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Design, train, and deploy advanced machine learning models (gradient boosting, deep learning time-series architectures, and probabilistic estimators) for multi-horizon demand forecasting and SKU-level volatility analysis.

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Build predictive models to anticipate supplier lead-time fluctuations, customs clearance bottlenecks, and transportation carrier delays before they impact downstream production schedules.

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Continuously monitor model performance, analyze feature drift, and retrain pipelines using automated data feeds from enterprise ERP and WMS integrations.

2. Operations Research & Network Optimization

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Formulate and solve complex operations research (OR) optimization problems, including multi-echelon inventory optimization, safety stock placement, and network footprint design.

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Develop mathematical algorithms for energetic vehicle routing, last-mile delivery scheduling, and freight consolidation using optimization solvers (e.g., Gurobi, PuLP, or SciPy optimization libraries).

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Build "digital twin" simulation models of physical supply chain networks to test demand shocks, supplier failures, and inventory rebalancing strat

📌 Supply Chain Data Scientist (Hyderabad)
🏢 HyrEzy Talent Solutions
📍 Hyderabad