Microsoft Principal Data Scientist 

Taiwan, Taoyuan City 

315003473

join the

The future of softwarejust low-code -It understands user intent andgenerative code, autonomous agents, and intelligent UI. Power Apps is leading this transformation by reimagining app development as awhere users co-create with copilots, delegate tasks to agents, andin a system of AI-infused experiences.

From adaptive controls to end-to-end agent workflows, ourthe platformcapabilities that enable

Required/Minimum Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ 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 4+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.

• 7 yearsexperienceof programming experience and ability to use different languages like: C#, Python, SQL, Kusto, etc.

• 3 years of experience in statistical tests.

• years experienceusing data, investigating data, answering questions & solving puzzles using data, data visualization, and storytelling with data whichrequiredattention to detail.

Other Requirements:

• to meet Microsoft, customer and/or government security screening requirementsarerequired for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:

• This position willbe required

or Preferred Qualifications:

• Doctorate 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)

• Master'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)

• Bachelor'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 techniques and reporting results))

• OR equivalent experience.

• Publication history in respected data mining and AI conferences and journals.

• Deep understanding of statistics and statistical theory.
• Have taken qualifying courses on machine learning concepts including, and not limitedto:decision trees and forests, gradient descent, logistic regression, deep neural networks, etc.

Certain roles may be eligible for benefits and other compensation. Findbenefits and pay information here:

responsibilities include:

• Working closely with a variety of teams like partner data science, engineering, and UX teams.

• Developing ML models and solutions using classical algorithms as well as foundation models.

• Deploying these solutions into production.

• Measuring and reporting success, using A/B and shadow experiments, creating dashboards andreportsas necessary.

• Using data to answer business questions like potential impact and usage.

• Customer journey, NSAT, churn, retention analysis.

• Presentation of work in the team and at Microsoft, such as during Town Halls and MLADS.

• decision making