Principal Data Scientist

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<div class="isg-job-description“>OverviewMicrosoft Cloud Hardware Infrastructure Engineering (CHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. CHIE delivers the core infrastructure and foundational technologies for Microsoft’s over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Skype, OneDrive and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide and we are looking for passionate, high energy engineers to help achieve that mission. The Cloud Hardware Analytics & Tools (CHAT) Team within SCHIE develops advanced analytical and tooling solutions to support and improve the quality of Microsoft Azure. We collect, manage and analyze data across the full Azure stack, HW & SW components, Silicon development processes, and much more. CHAT Data Science & Engineering, a branch of CHAT, provides data science support, machine learning and artificial intelligence solutions, and advanced visualizations to cloud engineering and management partners. We are looking for a Data Scientist and AI expert to support our custom data analytics and visualizations platform as well and building and implementing AI solutions across our division. This high-impact role combines software engineering with data science, and will have direct contributions to Azure-level projects, including working with highly visible platforms through data-driven approaches. This role closely collaborates with BI and Data Engineers, Software Engineers, other Data Scientists, Program Managers, and HW Engineering teams. We further use that data to power AI solutions across the SCHIE org designed to improve efficiency, quality and innovation and our looking for Principal Data Scientist to join our team!
ResponsibilitiesIdentify opportunities to leverage both custom-built and existing AI solutions to drive business impact across the division.Design and develop complex software systems, ensuring scalability, performance, and maintainability.Architect and implement AI-driven solutions to solve real-world business challenges.Stay current with emerging trends, tools, and best practices in AI and related technologies.Collaborate cross-functionally with teams in a dynamic, fast-paced environment to deliver high-impact solutions.

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