Job Location : New York,NY, USA
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DescriptionAmazon's Supply Chain is the engine behind the world's most customer-obsessed company. As we continue to scale at an unprecedented pace, our fulfillment and logistics network becomes increasingly complex—demanding innovative, data-driven solutions to keep pace with growth and customer expectations.
DescriptionAmazon's Supply Chain is the engine behind the world's most customer-obsessed company. As we continue to scale at an unprecedented pace, our fulfillment and logistics network becomes increasingly complex—demanding innovative, data-driven solutions to keep pace with growth and customer expectations.The Supply Chain Planning Optimization (SCPO) team is seeking a passionate and versatile Data Scientist to help shape the future of supply chain intelligence. In this role, you'll uncover impactful insights, develop interpretable and scalable models, and collaborate closely with both business and technical stakeholders to drive high-stakes decisions across our EU and North American fulfillment networks. Together, we're building a next-generation automated planning system—a powerful engine designed to transform inbound operations through intelligent, data-driven automation.Join us and play a key role in redefining how Amazon plans, predicts, and powers the global movement of goods.Key job responsibilitiesPartner directly with business leaders, operations teams, and product managers to identify opportunities, understand pain points, and translate them into data science problemsDesign and implement interpretable probabilistic models to forecast customer demand, supply availability, and network flows under uncertaintyDeliver insights and recommendations through dashboards, visualizations, and presentations that influence key business decisionsDevelop and maintain explainable ML/Statistical models, ensuring stakeholders can understand, trust, and take action based on model outputsCreate prototypes, run pilots, gather feedback, and iterate models to align with real-world operations and stakeholder goalsLead and contribute to ad-hoc deep dives to investigate anomalies or emerging patterns in the supply chainCollaborate with engineering and science teams to productionize models and scale insights across regions and business linesStay current on best practices in machine learning, statistics, and data science, and advocate for the right tools and methodologiesAbout The TeamSCPO is responsible for optimizing Amazon's supply chain from suppliers to customers. We build analytical tools and machine learning models to improve supply chain performance across forecasting, inventory planning, and network execution. Our team is at the intersection of science, technology, and operations, collaborating with Supply Chain Optimization Technologies (SCOT), Transportation, Retail, Finance, and senior business leaders to improve both day-to-day decisions and long-term strategy.Basic Qualifications
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