Microsoft Principal Data Science Manager 

Taiwan, Taoyuan City 

159644917

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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)
  • 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 techniques and reporting results)
  • 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 techniques and reporting results)
  • OR equivalent experience.
• 3+ years people-management experience.
• 5+ years of experience with SQL, R, Python, SCOPE to implement business metrics, perform deeper analysis and able to use statistical models (Recommenders, Prediction, Classification, Clustering, etc.) in big data environment.
• 5+ years of experience with EDA (Exploratory Data Analysis) and advanced analytics techniques to uncover patterns and trends.
• 5+ years of experience translating technical findings into actionable business insights and communicate effectively with stakeholders through reports and visualizations.

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.

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 October 19, 2025.

• People Management Manages team of data scientists effectively and delivers success through empowerment and accountability by modeling, coaching, and caring.
• Enable success across boundaries.
• Help the team adapt and learn.
• Attract and retains great people.
• Business Understanding and Impact Applies technical expertise and organizational resources to analyze overarching problems and issues facing projects to uncover, manage, and/or mitigate factors that can influence final outcomes.
• Seek out resources to support team members.
• Determine criteria to be used to define the boundaries of a task.
• Data Preparation and Understanding Leverages industry standards and best practices in data analysis to optimize delivery and improve data efficiency within and across teams.
• Ensure team members are prepared and knowledgeable in necessary data collection/analysis technologies (e.g., structured query language [SQL], Python).
• Support team members in developing data quality report detailing steps taken and key attributes of the data, including relationships between attributes, simple aggregations, properties of significant sub-populations, and statistical analyses.
• Evaluate for Insight and Impact Recognizes clear linkage between generated models and desired business objectives and ensures full understanding by the team.
• Oversee and holds teams accountable for the thorough review of data analysis and modeling techniques used to summarize the process review and highlight areas that have been missed or need to be reexamined.
• Customer/Partner Orientation Establishes and implements a customer-oriented focus within the team/organization.
• Ensure teams can recognize and leverage customer perspectives when initiating, communicating, and implementing new projects/products.
• Interpret results, develops insights, and effectively communicates results to customers.
• Collaborate across Orgs Drives collaboration across teams when necessary.
• Develop new predictive and prescriptive models using advanced research techniques with a goal of productionalized solutions.
• Communicate with Clarity and Impact successfully deals with ambiguity and has an ability to creating impactful narratives and storytelling with data across a variety of contexts and mediums to influence product and business decision making.
• Embody ourand.