The Job

Principal Data Scientist – AI Infrastructure Data

Technology, Data & Digital · Data, AI & Analytics · Data Science

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In short

As a Principal Data Scientist on the AI Infrastructure Data team, you will lead end-to-end delivery of strategic data science and AI solutions. This role focuses on improving reliability, efficiency, and capacity planning for Microsoft's AI systems using fleet-scale telemetry and experimentation, requiring strong collaboration with data engineers and other technical teams.

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.

Requirements

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ year(s) data-science experience.
  • Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience.
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience.
  • Equivalent experience.
  • Ability to meet Microsoft, customer and/or government security screening requirements.
  • Microsoft Cloud Background Check required upon hire/transfer and every two years thereafter.

Desired Qualifications

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 4+ years data-science experience.
  • Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience.
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 9+ years data-science experience.
  • 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.

Benefits

  • Certain roles may be eligible for benefits and other compensation.
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Company

Microsoft

Job Posted

2 weeks ago

Employment Type

Full Time

WorkMode

Remote

Experience Level

Senior

Qualification

Doctoral, Master, Bachelor

Applicants

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