Data Scientist

Summary

Microsoft is seeking a Data Scientist to deliver strategic data science and AI solutions that create measurable business impact. The role owns end-to-end project delivery, develops machine learning and generative AI applications, communicates insights to stakeholders, and advises teams and customers on 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
• 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

Skills

• 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 (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) 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 (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 1+ 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 3+ 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 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) + OR equivalent experience

Qualifications

Must Haves

• 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 (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) 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 (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) + OR equivalent experience

Nice to Haves

• 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) + OR 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) + OR 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) + OR equivalent experience

Benefits

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