At Microsoft, the business problem is to empower every person and organization on the planet to achieve more by leveraging data science, machine learning, and AI to create life-changing innovations and drive business transformation.
Requirements
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ 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 3+ 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 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ 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 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)
Responsibilities
- 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.
- Promote responsible AI practices and transparency in model development.
- Own delivery of complex, high-impact data science solutions for strategic engagements.
Other
- Own delivery of complex, high-impact data science solutions for strategic engagements.
- Collaborate with stakeholders to define business problems and translate them into actionable solutions.
- Develop project plans, assess risks, and ensure alignment with strategic objectives.
- Act as a trusted advisor to internal teams and customers, ensuring solutions meet business needs.
- Mentor junior team members and foster best practices across the organization.
