Data Scientist
Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Artificial Intelligence
In short
Microsoft is seeking a Data Scientist to lead end-to-end delivery of strategic data science and AI projects, creating measurable business impact. This remote role involves collaborating with stakeholders, building predictive and generative AI models, and acting as a trusted advisor, requiring strong technical expertise and consulting skills.
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.
- Develop project plans, assess risks, and ensure alignment with strategic objectives and ethical AI principles.
- Identify opportunities to leverage generative AI for business transformation and innovation.
- Acquire, clean, and prepare large datasets for modeling.
- Build and deploy predictive and prescriptive models using modern machine learning techniques.
- Design, develop, and integrate generative AI applications (e.g., text, image, multimodal) into client workflows and solutions.
- Write efficient, maintainable code and ensure scalability for production environments.
- Implement prompt engineering, fine-tuning, and evaluation strategies for large language models and other foundation models.
- Present findings to senior stakeholders using compelling storytelling and visualizations.
- Simplify complex ML/AI concepts for diverse audiences to drive understanding and adoption.
- Document best practices for AI application development and share knowledge across teams.
- 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; OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience or consulting experience; OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience; OR equivalent experience.
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience; OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience; OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience; OR equivalent experience.
Desired Qualifications
- Managing structured and unstructured data, applying statistical techniques and reporting results.
Benefits
- Certain roles may be eligible for benefits and other compensation.
- Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
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