Microsoft Principal Data Scientist 

Taiwan, Taoyuan City 

769742644

A key part of this role will be supporting the development of exciting new AI tools for meetings. You will be working with a best-in-class product team to build the future of AI in meetings. You will be helping ideate, launch and measure these advances in meeting AI capabilities.

Required Qualifications:

• Doctorate 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 Master'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 techn
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical te
  • OR equivalent experience.
• 5+ years partner-facing, project-delivery experience, professional services, and/or consulting experience.
• 5+ years of experience in data science modeling, statistics, analytics, business intelligence, or data-driven business strategy.
  
• 5+ years of strong hands-on skills in SQL, and R or Python to implement statistical models, machine learning, and analysis (prediction, classification, clustering, time series forecasting, regression models, etc.).
  
• Proficiency using one or more programming or scripting language like Python, R, SQL work with data.

Preferred Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ 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 10+ 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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
• Master’s Degree or higher in data science, Statistics, Computer Science, Engineering or another quant-focused field
• Strong partnership, collaboration, and interpersonal skills
  
• Experience with experiments, machine learning, deep learning, anomaly detection, predictive analysis, exploratory data analysis, and other areas of data science
  
• Experience driving data science practices & methodology improvements across disciplines including Finance, Marketing and Engineering

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 September 3rd, 2025.

• Strategy: Translate strategy into plans that are clear and measurable, with progress shared out monthly to stakeholders.
• Measurement: Define, invent, and deliver metrics which accurately measure the quality of online information, and the satisfaction/success of our customers.
• Models: Develop ML/Statistical models to measure/predict the quality of online content and/or user interactions with large scale AI systems.
• Experimental Design: Think critically about sampling and experimental design. Developing innovative strategies and products in these areas.
• Product Iteration: Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve.
• Cooperation: Partner effectively with product management, engineers, and other areas of the business.
• Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-science driven workflows that influence product and service improvements.