Microsoft Data Scientist 

Taiwan, Taoyuan City 

686121044

Basic Qualifications

• Master’s degree in Computer Science, Engineering, or a related technical field wih a miniumum 3 years' experience and at least 2 years' in Data Science.
• Strong programming skills in Python, SQL, PySpark and proficiency in data science libraries (e.g., scikit-learn, pandas, NumPy).
• Mastery of machine learning fundamentals and statistical modelling.
• Knowledge of LLMs and Azure AI stack / services including Azure AI Foundry and Copilot Studio.
• Strong problem-solving skills and a passion for learning new technologies.
• Demonstrated ability to leverage AI tools (e.g., GitHub Copilot, Azure AI Foundry) for code generation, automation, and productivity enhancement.
• Ability to work collaboratively in a team environment and communicate technical concepts clearly.
• Demonstrated ability to drive innovation and deliver results in a fast-paced environment.

Preferred Qualifications

• Proficiency in multiple programming languages and development frameworks.
• Familiarity with DevOps practices, CI/CD pipelines, and Infrastructure as Code.
• Familiarity with version control systems (e.g., Git).
• Experience with Generative AI and familiarity with Microsoft’s AI ecosystem and tools such as Copilot Studio.
• Knowledge of security, compliance, and Responsible AI principles in software development.
• Experience with Azure cloud platform and building distributed systems or web services.

• Design, develop, and deploy robust AI/ML models that support business objectives.
• Conduct exploratory data analysis and communicate findings to stakeholders.
• Collaborate with cross-functional teams—including product managers, data scientists, data engineers and UX designers—to deliver end-to-end features from concept to production.
• Participate in code reviews, architecture discussions, and contribute to data science and engineering best practices.
• Assist in building and maintaining models and data science pipelines for MCAPS business units.
• Write well-documented, high-quality, and maintainable code.
• Ensure solutions adhere to Microsoft’s Responsible AI principles, compliance, and security standards.
• Contribute to a culture of inclusion, innovation, and technical excellence within the AIT organization.