General Overview of the Job:

A data scientist who works on the Microsoft data platform and is measured on decisions changed, not models trained. The role covers the full path from framing a business question to a deployed, monitored model, and includes presenting results to non-technical stakeholders in logistics operations, finance and commercial.

Job Duties and Responsibilities: 

• Frame business questions with stakeholders, then build, validate and deploy models in Azure Machine Learning and Microsoft Fabric.
• Engineer features and data pipelines over lakehouse and warehouse data using Python and SQL.
• Put models into production with MLflow and managed endpoints, and monitor them for drift, data quality and performance.
• Communicate findings through Power BI and written analysis, so that the recommendation is clear to a non-technical audience.
• Partner with the AI team on evaluating large language model solutions, and apply data governance and privacy requirements to every dataset used.

Qualifications and Certifications: 

• Master's or bachelor's degree in data science, statistics, computer science, mathematics or another quantitative field.
• Microsoft Certified: Azure Data Scientist Associate; Fabric Analytics Engineer Associate or Azure AI Engineer Associate is an advantage.
• At least three years of applying machine learning and statistical methods to business problems.