Principal Data Scientist
 Microsoft | |
 United States, Washington, Redmond | |
 Oct 03, 2025 | |
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OverviewMicrosoft is a company where passionate innovators come to collaborate, envision what can be, and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world. The Business & Industry Copilots group is a rapidly growing organization responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solutions, and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications, and this organization is at the heart of how business applications are designed and delivered. We are looking for a Principal Data Scientist to join our team-Power Platform Core! This is an exciting time to join our group and work on growing our Power Apps and Power Automate business while transforming existing apps with AI. You will lead our data strategy to inform product decisions, drive investment portfolio, and identify new growth areas. The data science leader will partner with our engineering teams to solve complex problems at scale while doing so with impeccable quality. 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.
ResponsibilitiesDemonstrate a product-driven growth mindset to define and drive the data science strategy for Power Platform Core, aligning with product and business goals. Leverage data focused on developing product growth strategy, data informed product decisions, leveraging AI and creating self-service solutions for PM and SWE to leverage. Leader will have a robust background in financial growth and analysis, data infused product decisions, customer experience and customer journey along with support decisioning. Lead cross-functional initiatives to leverage data for product innovation, customer insights, and operational excellence. Build predictive models, optimization algorithms, and causal inference frameworks to inform strategic decisions, customer and market insights along with product performance. Collaborate closely with engineering, product management, and business stakeholders to translate data insights into actionable outcomes. Develop scalable data pipelines and experimentation frameworks to support rapid iteration and learning. Mentor and grow a team of data scientists, fostering a culture of technical excellence and impact. Ensure data integrity, privacy, and ethical use of AI across all initiatives. | |