Data Scientist
Summary
A data scientist who owns the full ML lifecycle on the Microsoft data platform — framing business questions, building and deploying models in Azure Machine Learning and Microsoft Fabric with Python and SQL, monitoring them via MLflow, and communicating results through Power BI to non-technical stakeholders in logistics, finance and commercial.
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.