Note: The job is a remote job and is open to candidates in USA. Microsoft is a leading technology company that empowers every person and organization on the planet to achieve more. As a Senior Data Scientist, you will own the delivery of strategic data science projects, collaborating with stakeholders to design and implement advanced analytics and AI solutions that create measurable business impact.

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 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
• 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)
• 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
• 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
• 1 to 3 years of Consulting (including System Integrator, Technical Consulting or Management Consulting) experience
• Experience developing and deploying Agentic AI solutions

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

Company Overview

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