Microsoft Senior Data Scientist - CoreAI 

Taiwan, Taoyuan City 

567655938

At CoreAI, we empower developers and organizations to shape the future with Artificial Intelligence (AI). Ourmission by delivering insights, reporting, models, and tools that guide product strategy and unlock growth across our developer ecosystem.

We’re looking for aSenior Data Scientist - CoreAIcommunication withexecutive leadership and sales,the ability to translate product questions into targeted data science investigations, and the ability to independently identify/execute/automate insightful analysis that improves Microsoft’s developer-focused AI suite and drives product growth.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

our culture every day.

Required/Minimum Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) 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 3+ 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 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
      • OR equivalent experience
• 1+ years ofexperience leading data science and analytics projects thatdeliveredmeasurable product and growth wins

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/Additional Qualifications:

• 3+ years of experience leading data science and analytics projects thatdeliveredmeasurable product and growth wins
• 3+ years of experience analyzing, visualizing, and modeling large-scale data using SQL, Python, or R
• 3+ years of experience designing and analyzing experiments and causal inference studies
• 1+ years of experiencecontributing to scaled datapipelines supportingoperationalized reports,modelsandanalyses
• Experience using AI tools in data science and analytics workflows
• Experience both prototyping anddeploying data products

Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft posts positions for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

• Supply executives with time-critical analyses thatsteersmajor investment decisions.
• Drive alignment across executives and diverse stakeholders through trusted partnerships, compelling analysis, and effective communication.
• Identifyand prioritize high ROIdata opportunitiesfor your individual work and the broader team.
• Contribute actively totheinfrastructure and cultureneededtoscalequantity and quality of data insightsacrossCoreAI.
• Mentor other data scientists, engineers, and Product/Program Managers.
• Operationalize models and reporting.
• Leverage AI to accelerate workflows and amplify team productivity.