New 
Senior Data Scientist
 Microsoft | |
 United States, Washington, Redmond | |
 Oct 18, 2025 | |
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OverviewIf you have an interest in data and are committed to developing systems that enhance informed decision-making at Microsoft, the Insights, Data Engineering & Analytics team offers a platform for professional growth. As a Senior Data Scientist, you will lead advanced analytics initiatives to drive business insights and strategic decisions. You will design and implement scalable data solutions, apply rigorous statistical methods, and develop predictive models that influence product and business outcomes. This role requires strong technical depth, business acumen, and the ability to mentor junior team members. This team plays a crucial role in supporting Microsoft 365 and the Experiences + Devices group (E+D), both of which are central to the Company's mission to empower individuals and organizations to achieve more. Our objective is to foster a data-informed culture by equipping the Experiences + Devices group with actionable insights to guide their decisions. This initiative represents a significant opportunity to deliver impactful information that will improve operational efficiency, drive empowerment, and support Microsoft's success in the evolving AI landscape.The IDEAS Data Science team (Business Pillar) specializes in transforming complex data into actionable business insights. Our focus is on building robust analytical frameworks and predictive models that drive strategic decisions across the organization by integrating various cross-signals. By leveraging advanced data engineering, statistical analysis, and machine learning, we deliver accurate business metrics, optimize performance, and uncover growth opportunities. Our mission is to empower stakeholders with data-driven intelligence that fuels innovation and operational excellence. 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.
ResponsibilitiesDesign and execute controlled experiments to validate hypotheses.Apply advanced statistical techniques (e.g., regression, Bayesian methods, causal inference) to derive actionable insights.Communicate limitations and confidence intervals clearly to stakeholders.Develop predictive and prescriptive models using machine learning and AI techniques.Ensure models are production-ready, maintainable, and aligned with privacy and compliance standards.Monitor model performance and iterate based on telemetry and feedback.Build ad hoc and production ready data pipelines for large-scale, diverse datasets.Partner with Data Engineering teams to ensure robust, secure, and scalable data infrastructure.Implement best practices for data quality, governance, and monitoring.Translate complex analytical findings into clear business recommendations.Influence product and strategy decisions through data-driven insights.Collaborate with cross-functional teams to align analytics with organizational goals.Coach junior data scientists on technical skills and best practices.Drive adoption of efficient processes and tools across teams.Contribute to defining standards for experimentation and analytics.Adopt new AI/ LLM technologies.Embody our culture and values. | |