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 end-to-end delivery of strategic data science projects, partnering with customers and internal teams 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
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