New 
Principal Data Scientist
 Microsoft | |
 United States, Washington, Redmond | |
 Sep 04, 2025 | |
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OverviewTeams Science, Strategy and Data Team is looking to hire a Principal Data Scientist. Do you have a passion for using data to help build great products? If so, we are looking for folks like you who love building high-quality products and embrace agile experimentation and helping the teams be data inspired.We're working on Microsoft Teams Calling, Meetings and Devices. If you're passionate about building cutting-edge solutions that empower teamwork and communication, we want to hear from you! Microsoft Teams is the central hub for teamwork, bringing together people, content, and tools to enhance team engagement and effectiveness. It plays a pivotal role in Microsoft's vision for modern work, modern life, and AI. We are revolutionizing how people communicate and collaborate across the globe.A key part of this role will be supporting the development of exciting new AI tools for meetings. You will be working with a best-in-class product team to build the future of AI in meetings. You will be helping ideate, launch and measure these advances in meeting AI capabilities.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.
ResponsibilitiesStrategy: Translate strategy into plans that are clear and measurable, with progress shared out monthly to stakeholders.Measurement: Define, invent, and deliver metrics which accurately measure the quality of online information, and the satisfaction/success of our customers.Models: Develop ML/Statistical models to measure/predict the quality of online content and/or user interactions with large scale AI systems.Experimental Design: Think critically about sampling and experimental design. Developing innovative strategies and products in these areas.Product Iteration: Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve.Cooperation: Partner effectively with product management, engineers, and other areas of the business.Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-science driven workflows that influence product and service improvements. | |