Note: The job is a remote job and is open to candidates in USA. Microsoft is hiring a Principal Data Scientist for its AI Infrastructure Data team. The role owns strategic data science and AI solutions, using fleet-scale telemetry, experimentation, and modeling to inform infrastructure decisions and improve reliability, efficiency, capacity planning, and customer outcomes.

Responsibilities

• Own delivery of complex, high-impact data science and AI solutions for strategic consulting engagements
• Collaborate with stakeholders to define business problems and translate them into actionable AI-driven solutions
• Acquire, clean, and prepare large datasets for modeling
• Build and deploy predictive and prescriptive models using modern machine learning techniques
• Write efficient, maintainable code and ensure scalability for production environments
• Present findings to senior stakeholders using compelling storytelling and visualizations
• Simplify complex ML/AI concepts for diverse audiences to drive understanding and adoption
• Act as a trusted advisor to internal teams and customers, ensuring solutions meet business needs
• Promote responsible AI practices, including fairness, transparency, and explainability in model and application development
• Stay current with emerging AI technologies, frameworks, and tools to continuously enhance solution capabilities

Skills

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• Equivalent experience
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 4+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 9+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• Equivalent experience
• Proven consulting and stakeholder engagement skills with proven ability to influence decisions
• Proficiency in Python and SQL; experience with cloud platforms (Azure preferred)
• Knowledge of Responsible AI principles and ethical data practices
• Experience with broader software engineering lifecycle practices, including version control, testing, DevOps, and production deployment of Machine Learning (ML) solutions
• Experience with AI-assisted coding practices and specification-driven development

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