Microsoft Data Scientist 

Taiwan, Taoyuan City 

992110486

Required/Minimum 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 tec
  • 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 tec
  • OR equivalent experience.
• 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience.
• 1+ year(s) Experience in:
  • All phases of managing data science projects including: problem definition, solution formulation, model building, productionizing and delivering measurable impact.
  • Statistical analysis, machine learning, and data mining.
    • Programming languages, AI Machine Learning

Additional or 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.
• 3+ years data-science experience in managing structured and unstructured data, applying statistical techniques and reporting results.
• 3+ years Experience with A/B testing, Bayesian inference and quasi-experimental methods.
• 3+ years Experience in applying statistics and ML models to generate clear actionable insights.
• Ability to work independently and collaboratively in an interdisciplinary team environment.
• Experience working in online advertising domain.

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 June 18, 2025.

• Work with key business stakeholders to understand the underlying business needs and formulate the needs into discrete, manageable problems with well-defined measurable objectives and outcomes.
• Transform formulated problems into implementations plans for experiments by defining success metrics, applying/creating the appropriate methods, algorithms, and tools, as well as delivering statistically valid and reliable results.
• Acquire the data necessary for your project and develop usable data sets for modeling.
• Develop new predictive and prescriptive models using advanced statistical and machine learning techniques with a goal of productionizing solutions.
• Evaluate your team’s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. Conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods
• Influence stakeholders to make product/service improvements that yield customer/business value by effectively making compelling cases through storytelling, visualizations, and other influencing tools.
• Research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify and analyze the applicability and scalability of innovative data science methods.

Other:

• Be a hands-on technical lead who can own, drive, and develop insights from conception to release.
• Be curious and willing to continuously learn about the business. Partner with stakeholders to define the critical insights required to make informed business decisions and sales precision. Continuously evolve the output of this role and ensure business alignment and impact.
• Learn and understand a broad range of data resources and know when, how, and which to use and which not to at any given time.
• Demonstrated analytical problem solving with adaptability to manage through ambiguity.
• Excellent collaboration skills that promote a positive team environment by modeling behavior of continuous learning.
• Ability to manipulate and analyze complex, high-volume, high-dimensionality data from various sources.
• Design, build, and maintain all business reporting and dashboards, ensure data integrity and accuracy.
• Become a center of excellence for UX design for the entire Business Insights team (general usability and accessibility in particular).