Note: The job is a remote job and is open to candidates in USA. Microsoft is seeking a Principal Data Scientist to support its AI Infrastructure Data team. The role owns strategic data science projects, develops scalable machine learning solutions from fleet-scale telemetry and experimentation data, and partners with stakeholders to 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)
- + OR 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)
- + OR 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)
- + OR equivalent experience
- 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)
- + OR 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)
- + OR 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)
- + OR 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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