Are you passionate about leveraging your data science and machine learning skills to make an impact at scale? Do you enjoy developing innovative algorithms, optimization and predictive models to generate recommendations that will be used by automated systems to drive hundreds of millions of impact on Amazon Retail's cash flow? If these questions get you excited, we definitely want to hear from you.
Strategic Sourcing team, as part of Amazon Supply Chain Optimization and Technology organization, is seeking an experienced and motivated Data Science leader. Strategic Sourcing team owns systems that are designed to: 1) reduce end to end costs from inbound supply chain and (2) improve vendor performance. Some of the key decisions that these systems make: when and if we should source a product (e.g. is the product obsolete or temporarily unavailable); from which vendor and at what cost we should source an ASIN; what is the ideal supply chain setup (e.g. Pallet, Truckload, Vendor Initiated PO, etc.) for an ASIN/vendor; when should vendor ship/deliver inventory to Amazon FCs; which inbound lanes – vendor warehouse to Amazon FC – should have pre-allocated transportation with how many shipments; when should we penalize vendors for defects/infractions through chargebacks and by how much. Together these set of decisions and systems work together to ensure Amazon’s inventory needs are met on time and in the most efficient way. We develop sophisticated algorithms that involve learning from large amounts of data from diverse sources such Vendors, Transportation carriers, Amazon warehouses etc.
Key job responsibilities
As the Data Science Manager on this team, you will:
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