Do you have a passion for applying Data Science models to solve complex problems? Do you want to help Microsoft engineer an industry-leading Intelligent Supply Chain, enabling end-to-end visibility, insights, and optimization? We are looking for a Senior Data and Applied Scientist Manager with strong leadership, analytical, and communication skills to join our expanding team. The ideal candidate has extensive expertise in machine learning and is passionate about creating business value through building robust teams delivering cloud-based solutions infused with AI. They should be comfortable with the end-to-end ML/AI solutions development process, starting from understanding the customer business problem and ending with production implementation of machine learning pipelines.
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. The Devices Supply Chain organization is critical to delivering on this mission, with responsibility for the end-to-end supply chain for Microsoft’s vast array of hardware products including the entire line of Surface devices and accessories, Xbox consoles and accessories, PC Hardware, next-generation products like Holo-lens, and more.
As part of the Devices Supply Chain organization, the Data Science team is leveraging Predictive & Prescriptive modeling to increase visibility & transparency, predict customer demand, streamline, and automate business processes, optimize inventory and capacity decisions, and much more. We develop and deploy Machine Learning and AI models, statistical methods, mathematical optimization, simulation, and other advanced analytical techniques to enable a variety of supply chain capabilities. For example, we forecast demand for all Microsoft devices globally, enabling our supply chain to match supply with demand and deliver a great customer experience while minimizing inventory investment.
As part of the role, you will work with a global diverse team of data scientists and engineers that apply machine learning and optimization to build industry solutions. To be successful, you will need software engineering skills, technical aptitude, communication skills, and a collaborative work style.
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