Microsoft Principal Data Scientist 

Taiwan, Taoyuan City 

117228042

new solutionsa new technology

broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform. In this role, you will be working with

and employingtechniques toand strategic customers to solve complex problems. You will work cross-functionally with several teams including

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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)
• ORMaster'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)
• ORBachelor'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 equivalent experience.

• Business level Japanese and English language skills.

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)

• ORMaster'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)

• ORBachelor'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.

• Experience working as part of geographically dispersed, diverse, and virtual teams

• Enjoy travel and are comfortable with travel up to 25%

• Demonstrated ability to work with customers and collaborate across company boundaries.

• 5+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.

an informal and flexible work environment andbe welcome to work in the way that best enables you to get your job done.

We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.

Business Understanding and Impact:

• Guides and ensures good practice on engagements that employ data science to align with business needs and deliver value.

• Provides thought leadership and guidance to software engineering and business stakeholders on how to best include artificial intelligence and machine learning in systems development.

Data Preparation and Understanding:

• Leads data acquisition and understanding efforts for engineering projects using various tools and techniquesthat support the data science lifecycle

and Statistical Analysis:

• Develops and applies ML frameworks and best practices for scalable and ethical solutions.

• Oversees review of data analysis andmodellingtechniques. Ensures selectedmodellingtechniques areappropriateand align with desired project outcomes. Decides on next steps (e.g., deployment, further iterations, new projects).

• Provides feedback, drives improvement, and shares knowledge as a data science expert.Contributes to ongoing team learning by bringing relevant andleading edgeconcepts and approaches to theteams

Coding and Debugging:

• Leads by example in contributing code, artefacts, and guidance during the execution of engagements. Writes and debugs code for complex projects and leads solution development.Delivers production quality code in association with software engineers.

• Has a good grasp and ability to apply core software engineering principals.

Business Management:

• Leads ML and data-science partnerships and IP improvement.

• feasible

You will embody our