New 
Data Scientist II
 Microsoft | |
 United States, Texas, Irving | |
| 7000 State Highway 161 (Show on map) | |
 Oct 05, 2025 | |
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OverviewMicrosoft is a company where innovators come to collaborate. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world. The Business and Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution 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.This is an exciting time to join our group and work on something highly strategic to Microsoft. Microsoft Dataverse and the Power Platform Managed Platform provide secure, scalable, and cost-efficient foundations for building AI-powered, governed, and compliant applications at global scale. This team builds platform capabilities and microservices that deliver global scale, security, governance, and managed runtime for customers across Power Platform. You will be part of a team of engineers who thrive on solving complex problems at scale with impeccable quality.We are looking for a Data Scientist II to join the Managed Platform team, which provides the foundation for global scale, security, governance, and compliance across Power Platform and Dataverse. In this role, you will apply data science techniques to improve platform reliability, optimize performance, and enable AI-driven insights that shape the future of enterprise applications. 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.
ResponsibilitiesBuild and deploy machine learning models and statistical analyses to improve platform performance, reliability, and cost efficiency.Partner with engineering teams to integrate predictive insights into distributed systems and services.Design and analyze experiments (e.g., A/B tests) to validate hypotheses and measure impact on customer experience and platform health.Develop dashboards and metrics to monitor model performance and service health.Communicate findings and recommendations to technical and business stakeholders through clear, actionable insights.Collaborate with cross-functional teams to ensure data quality and effective use of analytics in decision-making. | |