New 
Senior Product Data Scientist - Microsoft Planner
 Microsoft | |
 United States, Washington, Redmond | |
 Jul 23, 2025 | |
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OverviewMicrosoft's Path team helps customers along their journey from the initial idea to the final realization of their goals - from Idea to Plan to Done We are responsible for collaborative work management products including Microsoft Project, Planner, To Do, Whiteboard, and Visio. We are actively working to envision and create "The Future of Work" leveraging large language models (LLMs) and Agentic artificial intelligence (AI) to provide utility and value to our customers.As a Senior Product Data Scientist in Microsoft Planner, you will help us measure what matters, surface actionable insights, run rigorous experiments, and help deliver transformative AI capabilities that customers love and trust. You will help drive the analysis and quality and direction of Microsoft Planner, including our agentic experiences such as Project Manager agent. In this role you will have the opportunity to apply - and advance - your data science skills and have real impact on millions of customers. This role requires Microsoft Campus presence, where you will get to interact with many of your co-workers in person.If this sounds like something you are interested, we welcome your application and look forward to connecting!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.
ResponsibilitiesCreate customer and business impact by identifying and leading high-leverage data science and analytics opportunities across product areas.Measurement: Define, invent, and deliver metrics which accurately measure user and business value across various products.Experimental Design: Think critically about sampling and experimental design across User and Demand dimensions.Product Iteration: Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve.Cooperation: Partner effectively and drive alignment with executives, product management, engineers, and other areas of business.Influence: engage with stakeholders to produce clear, compelling, measurable, and actionable insights and data-science driven workflows that influence product and service improvements. | |