Microsoft Applied Scientist II 

Taiwan, Taoyuan City 

225190411

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience.
• Excellent coding and debugging skills with deep understanding of ML\AI algorithms and data science problems.
  
• Experience with ML techniques such as deep learning, predictive modelling, time series data analysis.
  
• Excellent communication skills, including the ability to translate complex AI concepts into actionable insights for product teams.

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:

• Passion for new technologies, learning and adapting quickly, end user quality and customer satisfaction.
• Understanding of AI-driven operations, site reliability engineering (SRE), and production ML systems.
• Expertise in AI Ops, anomaly detection, error log analysis and incident management solutions.
• Awareness and understanding of emerging research and technologies related to live site and incident management like Agentic workflows for site reliability management.
• Effective verbal, visual and written communication skills

• Collaborate with engineers, product teams, and partners to drive innovation in AI-powered site reliability.
• Develop and implement AI-driven scalable solutions for incident management and prevention, incident root cause analysis across Office Online applications.
• Build AI\ML powered solutions like anomaly detection, predictive analytics, and error log analysis etc. for faster mitigation and prevention of incidents.
• Ensure end-to-end integration of ML\AI powered solutions in production, including deployment, monitoring, and refinement.
• Prototype new approaches in ML\AI, SLM, AI Agents, Agentic workflows etc. to design, run, and analyze experiments for incident detection, mitigation and resolution.
• Fundamentals: champion and set example in customer obsession, data security, performance, observability and reliability.
• Optimize AI pipelines, automate responses to incidents, and create a feedback loop for continuous improvement.
• Stay ahead of emerging trends in AI/ML.