Software Engineer II

We areseekinga passionate and technically skilledSoftware EngineerIIto join theCommerce - Platforms, Data, and Experiences (PDX)team. This team plays a pivotal role in shaping Microsoft's commerce data strategy, building scalable data platforms, and delivering actionable ML driven insights that drive business transformation across the ecosystem.

As aSoftware EngineerIIinPDX, you will work at the intersection ofdata engineering, data processing, and machine learningto solve complex business problems. You will collaborate with cross-functional teams to design experiments, build predictive models, and develop scalable solutions that enhance decision-making and customer experiences by producingdescriptive, diagnostic, predictiveandprescriptiveinsights.

This role requires you to be onsite 3 days a week in Microsoft's offices in Redmond, WA.

• 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 MLmodels.

• Partner with engineering and product teamsto define data requirements and ensure high-quality data pipelines.

• Conductexploratorydata 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.

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.

Preferred Qualifications

• Bachelor's orMaster's degree in Computer Science, Statistics, Mathematics, or related field.

• 2+ years of experience in data science, analytics, or applied machine learning.

• Proficiencyin Python, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow,PyTorch).

• Experience with cloud platforms (Azure preferred) and big data technologies.

• Understanding of statistical modeling, predictive analytics, and experimentation design.

• Excellent communication and stakeholder management skills.

• Demonstrated experienceleveragingAI tools and technologies to enhance engineering effectiveness, coupled with a strong curiosity and commitment to continuous learning in the field of Artificial Intelligence.