New 
Applied Scientist II - M365
 Microsoft | |
 United States, Washington, Redmond | |
 Aug 14, 2025 | |
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OverviewDo you describe yourself as an explorer, builder, or thought leader who thinks differently and has a technical background as an applied scientist, data scientist, quantitative analyst or other analytical discipline? We are seeking trail blazers to join the Substrate Applied Data Science team in M365, where we harness the power of AI to transform how global infrastructure is understood, optimized, and scaled. Our mission is to build intelligent systems that anticipate needs, adapt in real time, and empower Microsoft 365 and Copilot to deliver seamless, resilient experiences to billions of users worldwide.As an Applied Scientist II - M365 on this team, you will be at the forefront of innovation - driving technical vision, guiding strategic decisions, and delivering breakthrough solutions. You'll harness vast business datasets, state of the art AI models, and deep infrastructure expertise to unlock transformative capabilities that power Microsoft 365 and Copilot, shaping the future of intelligent productivity for hundreds of millions of users worldwide.Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
ResponsibilitiesAnalyze massive datasets to extract insights and prototype predictive models that forecast infrastructure capacity needs.Develop scalable solution pipelines to enhance the efficiency, reliability, and performance of Microsoft 365 and Copilot services.Leverage generative AI and agentic orchestration to build intelligent systems that address complex infrastructure challenges.Design and implement innovative machine learning and mathematical models to drive breakthrough optimizations.Collaborate with cross-functional teams-including product, engineering, and research-to align efforts and deliver high-impact solutions.Translate advanced research into durable, data-driven products that create lasting business value. | |