Microsoft Data Scientist 

Taiwan, Taoyuan City 

63407104

In this roleexplore and

Required Qualifications:

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years experience in business analytics, data science, software development, data modeling or data engineering work
  • OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) experience in business analytics, data science, software development, or data engineering work
  • OR equivalent experience.
• 1+ year (s) of experience building generative AI applications.

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:

• 2+ years of experience contributing to the design and implementation of model finetuning pipelines (e.g., LoRA, domain/task-specific adaptation) for customer and product scenarios.

• 2+ years of applying transformer architectures and reinforcement learning techniques to improve finetuned models for reasoning, search, and generation tasks.

• 2+ years contributing to research publications (e.g., patents, libraries, or academic papers) and beginning to share work externally through conferences or industry events.

• Deep expertise in designing and scaling Generative AI pipelines (e.g., RAG systems, domain/task-specific finetuning)

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 October 17, 2025.

In this role,you will bebe responsible for implementing

• ocus on particular aspects of our product, developing extensive knowledge in the domain and technical framework, notably in Large Language Models (LLM), and play a role in advancing product development through ongoing awareness of industry trends and technologies.

• ssess business needs and integrate research to achieve businessobjectives. Your role involves guiding the selection of data to address issues strategically,leveragingyourexpertiseto design,measure,and build AI applications

• ecord ongoing work and experimental findings, sharing them to encourage innovation.

• ssess the effectiveness of models and collaborate with product teams to design AI-driven experiencesand build AI agents.