Microsoft Senior Data Scientist 

Taiwan, Taoyuan City 

575786070

opportunities for improving

and grow that diversity.We believe it creates the best outcomes andis the source for

in data science and AI to manage and

Required 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 techn
  • 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 tec
  • OR equivalent experience.
• 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.

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 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)
  • OR 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)
  • OR 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.
• 5+ yearsleveragingpassion for and understanding the need to deliver the right business impact by working with stakeholders to turn business problems into data analysis questions and unearthing deep insights from data.
• Experienceas adata scientist for an online service, app, or Web site with millions of users.Experience working on an online collaboration, video conference, ormessagingproduct is a plus.
• Havea track recordof innovative thinking and problem-solving skills using Big Data.
• Have the ability to deliver on ambiguous projects with incomplete data.
• 5+ yearsleveragingthe practical uses of statistics (i.e.experimentation, statistical modeling)
• Professional experience with large-scale computing systems like Hadoop, MapReduce, and/or similar systems.
• 5+ years of professional experience in SQL, R, Python, or related tools for large-scale analysis.
• Ability to convince others of their ideas and communicate complex analysis & insights to a non-technical audience.

• Work with other teams across Microsoft to develop key metrics to achieve business outcomes.
• Work cross functionally to translate business problems into ones that can be solved and informed by data.
• Communicate vision and strategy, enabling global teams tooperateindependently to deliver success.
• Have curiosity and apply analytical skills to dive deep into data to find key insights thatimpactthe business.
• Develop models of usage, user behavior & business behavior to make recommendations and influence the product road map.
• Be a champion of AB testing. Design, execute and analyze experiments to prove product change attribution.
• Utilize tools like SQL, R, Python to execute analyses.
• Growand develop top talent - build and cultivate a highly functioning team of data scientists grounded in the objective truth of the measured customer experience.
• Develop and manage relationships with product and business leaders across the organization to understandobjectivesandidentify