Microsoft Software Engineer 

Taiwan, Taoyuan City 

389545771

Commerce – Platforms, Data, and Experiences (PDX)

As aX, you will work at the intersection ofdata engineering, data processing, and machine learningdescriptive, diagnostic, predictive

Required/minimum qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
    
• 2+ years of experience in data science, analytics, or applied machine learning

Additional or preferred qualifications:

• Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Proficiencyin Python, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow,PyTorch).
• Experience with cloud platforms (Azure preferred) and big data technologies.
• Strong understanding of statistical modeling, predictive analytics, and experimentation design.
• Excellent communication and stakeholder management skills.
• Demonstrated experienceleveraging

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Design and implementadvanced analytics solutions to support commerce data platform initiativesincluding analytics based on Machine Learning Models.Designskillshould include scale, extensibility, performance, re-training forthe ML

• to define data requirements and ensure high-quality data pipelines.

• Conduct exploratory data analysis, feature engineering, and model evaluationusing structured and unstructured datasets.

• Ensure the models built are operable, scalable,extensibleand performant.

• Develop dashboards, visualizations, and storytelling artifactsto communicate insights to stakeholders.

• Lead experimentationefforts to evaluate new features, forecasting, dataqualityand anomaly detection systems.

• Build extensible solutions on LLM modelsto improve productivity of engineers across the commerce organization.