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Microsoft Data Scientist II Taiwan, Taoyuan City 690515682
Yesterday
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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 3+ 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 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
- 3+ years of hands-on experience in data science or a closely related role, building and deploying machine learning models to solve real-world problems.
- Deep understanding of machine learning algorithms and statistical techniques. You should be skilled in applying a broad range of methods – including regression, classification, clustering, and recommendation algorithms. Experience in training models for predictive analytics and optimization is highly valued.
- Solid programming skills in Python (or equivalent) for data analysis and development. Familiarity with machine learning frameworks and libraries is expected.
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 3+ 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 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
Responsibilities
- Machine Learning Model Development: Design and implement machine learning algorithms to enhance product. This includes developing and evaluating models and preparing large-scale datasets for training and testing.
- Data Analysis & Insights: Analyze usage and interaction data to drive product decisions and improvements to experience.
- Experimentation & Optimization: Design and execute experiments (A/B tests) to evaluate the impact of new features or model changes. Monitor model performance and user engagement metrics and iterate on solutions to optimize outcomes. You will own the end-to-end workflow of data science projects, from hypothesis formulation to deploying validated improvements.
- Cross-Functional Collaboration: Work closely with a multi-disciplinary team of engineers, product managers, researchers, and UX designers in the MSAI organization.
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