Microsoft Data Scientist II 

Taiwan, Taoyuan City 

776475728

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
  • OR Master's Degree 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 consulting experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
• 3+ years of experience with SQL, R, Python to implement statistical models, machine learning, and analysis (Recommenders, Prediction, Classification, Clustering, etc.) in big data environment.
• 3+ years of experience with written and verbal communication to educate and work with cross functional teams.
• 3+ year of experience in delivering on ambiguous projects with incomplete or imperfect data

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 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.
• Experience taking sample data and scaling it up to create an estimate of the population.
• Experience benchmarking between metrics to calculate relative performance or share.
• Experience exploring to find new data and leveraging that to stand up new metrics.

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 22, 2025.

• Understand problems facing projects and is able to leverage knowledge of data science to be able to uncover important factors that can influence outcomes on specific products.
• Describe the primary objectives of the team from a business perspective. Produces a project plan to specify necessary steps required for completion.
• Assess current situation for resources, risks, contingencies, requirements, assumptions, and constraints.
• Coach less experienced engineers in standards and best practices.
• Use their understanding of organizational dynamics, interrelationships among teams, schedule constraints, and resource constraints to effectively influence partners to take action on insights.
• Understand business strategy briefings and articulates data driver strategies for specific industries or cross-industry functions, such as: Sales/Marketing, Operations, and new Data Monetization Schemes.
• Engage business stakeholders to capture and shape their thinking on data-driven methods applicable to their value chain.
• Lead customer conversations to understand, define, and solve business problems.
• Collaborate with end customer and Microsoft internal cross-functional stakeholders to understand business needs.
• Formulate a roadmap of project activity that leads to measurable improvement in business performance metrics over time.
• Influence stakeholders to make solution improvements that yield business value by effectively making compelling cases through storytelling, visualizations, and other influencing tools.
• Exemplifies and enforces team standards related to bias, privacy, and ethics.
• Industry and Research Knowledge / Opportunity Identification.
• Use business knowledge and technical expertise to provide feedback to the engineering team to identify potential future business opportunities.
• Develop a better understanding of work being done on team, and the work of other teams to propose potential collaboration efforts.
• Coach and provides support to teams to execute strategy.
• Leverage capabilities within existing systems.
• Share knowledge of the industry through conferences, white papers, blog posts, etc.
• Research and maintains deep knowledge of industry trends, technologies, and advances.
• Actively contributes to the body of thought leadership and intellectual property (IP) best practices.
• Data Preparation and Understanding. Acquires data necessary for successful completion of the project plan. Proactively detects changes and communicates to senior leads.
• Develop useable data sets for modeling purposes.
• Contribute to ethics and privacy policies related to collecting and preparing data by providing updates and suggestions around internal best practices.
• Contribute to data integrity/cleanliness conversations with customers.
• Apply a customer-oriented focus by understanding customer needs and perspectives, validating customer perspectives, and focusing on broader customer organization/context.
• Promote and ensures customer adoption by delivering model solutions and supporting relationships. Works with customers to overcome obstacles, develops tailored and practical solutions, and ensures proper execution.
• Build trust with customers by leveraging interpretability and knowledge of Microsoft products and solutions. Helps drive realistic customer expectations, including information about the limitations of their data.
• Write efficient, readable, extensible code from scratch that spans multiple features/solutions.
• Embody ourand.