Principal Data Scientist

As a Principal Data Scientist in the Industry Solutions Delivery (ISD) Engineering & Architecture Group (EAG), you will combine technical knowledge with broad strategic influence across multiple customer engagements, solution areas, and cross-functional teams. You will shape data science strategy across high-impact engagements, define reusable patterns and standards, and partner across engineering, architecture, and business teams to accelerate delivery quality, customer outcomes, and intellectual property (IP) creation. You will turn ambiguous business problems into durable, repeatable data science approaches, acting as a hands-on technical leader and trusted advisor to senior executives.

Drives alignment between customer business priorities and data science strategy across complex engagements, solution areas, or industry scenarios.

Defines the data readiness strategy for complex engagements by establishing expectations for data quality, fitness for purpose, lineage, governance, and ongoing maintainability.

Defines modeling strategies for ambiguous, high-impact business problems and selects approaches that appropriately balance performance, interpretability, scalability, operational complexity, and risk.

Defines evaluation frameworks that connect model performance, business impact, operational health, and responsible AI requirements.

Serves as a recognized technical and domain leader who brings together customer signals, delivery experience, market trends, and advances in AI/data science to shape strategy.

Provides principal-level technical leadership in code quality, maintainability, production readiness, and debugging practices for advanced analytics and machine learning systems.

Partners with customers and Microsoft cross-functional stakeholders to define strategic roadmaps for data science and AI solutions that span multiple initiatives.

Acts as a trusted advisor to customer and Microsoft stakeholders by combining technical depth, business judgment, and clear communication.