Note: The job is a remote job and is open to candidates in USA. Microsoft is a technology company focused on empowering people and organizations through responsible innovation. This role owns strategic data science and AI projects for AI infrastructure, using telemetry, experimentation, and modeling to improve reliability, efficiency, capacity planning, and customer outcomes. The position also partners with stakeholders to deliver scalable solutions and promote responsible AI adoption.
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
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
- 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
Company Overview
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