New 
Principal Data Science Manager
 Microsoft | |
 United States, Washington, Redmond | |
 Oct 16, 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.This Principal Data Science Manager 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.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.
ResponsibilitiesPeople Management Manages team of data scientists effectively and delivers success through empowerment and accountability by modeling, coaching, and caring. Enable success across boundaries. Help the team adapt and learn. Attract and retains great people.Business Understanding and Impact Applies technical expertise and organizational resources to analyze overarching problems and issues facing projects to uncover, manage, and/or mitigate factors that can influence final outcomes. Seek out resources to support team members. Determine criteria to be used to define the boundaries of a task.Data Preparation and Understanding Leverages industry standards and best practices in data analysis to optimize delivery and improve data efficiency within and across teams.Ensure team members are prepared and knowledgeable in necessary data collection/analysis technologies (e.g., structured query language [SQL], Python). Support team members in developing data quality report detailing steps taken and key attributes of the data, including relationships between attributes, simple aggregations, properties of significant sub-populations, and statistical analyses.Evaluate for Insight and Impact Recognizes clear linkage between generated models and desired business objectives and ensures full understanding by the team. Oversee and holds teams accountable for the thorough review of data analysis and modeling techniques used to summarize the process review and highlight areas that have been missed or need to be reexamined.Customer/Partner Orientation Establishes and implements a customer-oriented focus within the team/organization. Ensure teams can recognize and leverage customer perspectives when initiating, communicating, and implementing new projects/products. Interpret results, develops insights, and effectively communicates results to customers.Collaborate across Orgs Drives collaboration across teams when necessary. Develop new predictive and prescriptive models using advanced research techniques with a goal of productionalized solutions.Communicate with Clarity and Impact successfully deals with ambiguity and has an ability to creating impactful narratives and storytelling with data across a variety of contexts and mediums to influence product and business decision making.Embody our culture and values. | |