Senior Software Engineer

We are seeking a passionate and technically skilled Senior Software Engineer to join the Commerce – 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 a Senior Software Engineer in PDX, you will work at the intersection of data engineering, data processing, and machine learning to 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 producing descriptive, diagnostic, predictive and prescriptive insights.

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or related field.

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

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

• Build scalable machine learning models as part of the Commerce Platform that would act as the foundation for insights across the Commerce Platform.

• Design and implement advanced analytics solutions to support commerce data platform initiatives including analytics based on Machine Learning Models. Design skill should include scale, extensibility, performance, re-training for the ML models.

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

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

• Ensure the models built are operable, scalable, extensible and performant.

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

• Lead experimentation efforts to evaluate new features, forecasting, data quality and anomaly detection systems.

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