New 
Principal Data Science Manager
 Microsoft | |
remote work
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 United States, Washington, Redmond | |
 Feb 11, 2025 | |
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OverviewCloud Operations and Innovation (CO+I) is the engine behind Azure and the Microsoft Cloud. The CO+I organization delivers and operates the safest, most available, and secure cloud in the industry. In support of this mission, the Cloud Applied AI (CAAI) team works to infuse machine learning, statistical analysis, operations research, econometrics, and generative AI throughout every facet of the organization. We are seeking a Prinicipal Data Science Manager to with a background in research and data science with experience leading teams of data and applied scientists. This leader will partner with software engineering and business leaders across the organization to develop cutting-edge models that seamlessly integrate with the large-scale distributed systems powering Microsoft's cloud infrastructure.This leader will guide a diverse team of data scientists working on a broad portfolio of initiatives, including:Datacenter constructionSafety & securityDelivery planning & executionInfrastructure optimizationCritical operationsThis individual will leverage their experience in data science while staying abreast of the latest research and developments to identify innovative approaches to solving challenges at scale. This leader will collaborate with engineering and product counterparts to deploy these solutions in production environments supporting Microsoft's datacenters globally. This role is located either in one or all hub locations - Atlanta, GA, Washington, D.C., Redmond, WA, San Antonio, TX or Phoenix, AZ. Relocation support will be provided, and successful candidates must relocate or reside within 50 miles of the hub office location. This role is eligible for hybrid or remote work, up to (XX indicated by HM)%.
ResponsibilitiesLead and manage the data science team, ensuring the delivery of high-quality data science models and solutions.Collaborate with senior leaders to define and execute the data science strategy.Develop and implement data science models that measurably contribute to organizational goals.Work closely with cross-functional teams to identify and prioritize data science projects.Drive continuous improvement in data science processes and methodologies.Mentor and develop team members, fostering a culture of innovation and excellence.Stay current with the latest advancements in data science and machine learning, and apply them to solve business problems.Hire, retain, and develop top talent, ensuring the team has the skills and expertise needed to meet current and future challenges.Promote diversity and inclusion within the team, creating an environment where all team members feel valued and supported. | |