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

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.




Build predictive models to anticipate supplier lead-time fluctuations, customs clearance bottlenecks, and transportation carrier delays before they impact downstream production schedules.
Continuously monitor model performance, analyze feature drift, and retrain pipelines using automated data feeds from enterprise ERP and WMS integrations.
Operations Research & Network Optimization
Formulate and solve complex operations research (OR) optimization problems, including multi-echelon inventory optimization, safety stock placement, and network footprint design.
Develop mathematical algorithms for dynamic vehicle routing, last-mile delivery scheduling, and freight consolidation using optimization solvers (e.g., Gurobi, PuLP, or SciPy optimization libraries).
Build "digital twin" simulation models of physical supply chain networks to test demand shocks, supplier failures, and inventory rebalancing strategies virtually before

📌 Supply Chain Data Scientist (Hyderabad)
🏢 HYrEzy Tech Solutions
📍 Hyderabad