Microsoft Senior Data Scientist 

Taiwan, Taoyuan City 

177884752

Required Qualifications:

• 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.
• 3+ years of experience in Python for development and scripting.
• 2+ years of experience with LLMs, prompt engineering, and the OpenAI API.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications

• Experience working with multi-agent frameworks such as AutoGen, Semantic Kernal and Langchain.
• Experience with Azure services, cloud infrastructure, and CI/CD pipelines.
• Knowledge of MLOps practices, including containerization, infrastructure-as-code, and monitoring.
• Exposure to Power Platform, Microsoft Graph API, or enterprise integration technologies

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until May 20, 2025.

• Design, build, and iterate on AI agents leveraging LLM models, multi-agent frameworks, and Microsoft’s AI ecosystem
• Develop infrastructure and MLOps pipelines to support continuous training, deployment, and monitoring
• Conduct rigorous behavior testing and validation, focusing on performance, safety, and real-world edge cases
• Integrate AI agents with Azure AI services, Microsoft Graph API, Power Platform, and internal systems
• Apply best practices in security, compliance, and privacy to all aspects of agent development
• Collaborate closely with cross-functional partners including engineering, product, and design teams
• Document agent behavior, test results, and learnings to ensure transparency and knowledge sharing